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As hardware makers continue to work on ways of making wide-scale quantum computing a reality, a startup out of Australia that is building software to help reduce noise and errors on quantum computing machines has raised a round of funding to fuel its U.S. expansion.
Q-CTRL is designing firmware for computers and other machines (such as quantum sensors) that perform quantum calculations, firmware to identify the potential for errors to make the machines more resistant and able to stay working for longer (the Q in its name is a reference to qubits, the basic building block of quantum computing).
The startup is today announcing that it has raised $15 million, money that it plans to use to double its team (currently numbering 25) and set up shop on the West Coast, specifically Los Angeles.
This Series A is coming from a list of backers that speaks to the startup’s success to date in courting quantum hardware companies as customers. Led by Square Peg Capital — a prolific Australian VC that has backed homegrown startups like Bugcrowd and Canva, but also those further afield such as Stripe — it also includes new investor Sierra Ventures as well as Sequoia Capital, Main Sequence Ventures and Horizons Ventures.
Q-CTRL’s customers are some of the bigger names in quantum computing and IT, such as Rigetti, Bleximo and Accenture, among others. IBM — which earlier this year unveiled its first commercial quantum computer — singled it out last year for its work in advancing quantum technology.
The problem that Q-CTRL is aiming to address is basic but arguably critical to solving if quantum computing ever hopes to make the leap out of the lab and into wider use in the real world.
Quantum computers and other machines like quantum sensors, which are built on quantum physics architecture, are able to perform computations that go well beyond what can be done by normal computers today, with the applications for such technology including cryptography, biosciences, advanced geological exploration and much more. But quantum computing machines are known to be unstable, in part because of the fragility of the quantum state, which introduces a lot of noise and subsequent errors, which results in crashes.
As Frederic pointed out recently, scientists are confident that this is ultimately a solvable issue. Q-CTRL is one of the hopefuls working on that, by providing a set of tools that runs on quantum machines, visualises noise and decoherence and then deploys controls to “defeat” those errors.
Q-CTRL currently has four products it offers to the market: Black Opal, Boulder Opal, Open Controls and Devkit — aimed respectively at students/those exploring quantum computing, hardware makers, the research community and end users/algorithm developers.
Q-CTRL was founded in 2017 by Michael Biercuk, a professor of Quantum Physics & Quantum Technology at the University of Sydney and a chief investigator in the Australian Research Council Centre of Excellence for Engineered Quantum Systems, who studied in the U.S., with a PhD in physics from Harvard.
“Being at the vanguard of the birth of a new industry is extraordinary,” he said in a statement. “We’re also thrilled to be assembling one of the most impressive investor syndicates in quantum technology. Finding investors who understand and embrace both the promise and the challenge of building quantum computers is almost magical.”
Why choose Los Angeles for building out a U.S. presence, you might ask? Southern California, it turns out, has shaped up to be a key area for quantum research and development, with several of the universities in the region building out labs dedicated to the area, and companies like Lockheed Martin and Google also contributing to the ecosystem. This means a strong pipeline of talent and conversation in what is still a nascent area.
Given that it is still early days for quantum computing technology, that gives a lot of potential options to a company like Q-CTRL longer-term: The company might continue to build a business as it does today, selling its technology to a plethora of hardware makers and researchers in the field; or it might get snapped up by a specific hardware company to integrate Q-CTRL’s solutions more closely onto its machines (and keep them away from competitors).
Or, it could make like a quantum particle and follow both of those paths at the same time.
“Q-CTRL impressed us with their strategy; by providing infrastructure software to improve quantum computers for R&D teams and end-users, they’re able to be a central player in bringing this technology to reality,” said Tushar Roy, a partner at Square Peg. “Their technology also has applications beyond quantum computing, including in quantum-based sensing, which is a rapidly-growing market. In Q-CTRL we found a rare combination of world-leading technical expertise with an understanding of customers, products and what it takes to build an impactful business.”
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By now, the venture world is wary of blood testing startups offering health data from just a few drops of blood. However, Baze, a Swiss-based personal nutrition startup providing blood tests you can do in the convenience of your own home, collects just a smidgen of your sanguine fluid through an MIT manufactured device, which, according to the company, is in accordance with FDA regulations.
The idea is to find out (via your blood sample) which vitamins you’re missing out on and are keeping you from living your best life. That seems to resonate with folks who don’t want to go into the doctor’s office and separately head to their nearest lab for testing.
Most health professionals would agree it’s important to know if you are getting the right amount of nutrition — Vitamin D deficiency is a worldwide epidemic affecting calcium absorption, hormone regulation, energy levels and muscle weakness. An estimated 74% of the U.S. population does not get the required daily levels of Vitamin D.
“There are definitely widespread deficiencies across the population,” Baze CEO and founder Philipp Schulte tells TechCrunch. “[With the blood test] we see that we can actually close those gaps for the first time ever in the supplement industry.”
While we don’t know exactly how many people have tried out Baze just yet, Schulte says the company has seen 40% month-over-month new subscriber growth.
That has garnered the attention of supplement company Nature’s Way, which has partnered with the company and just added $6 million to the coffers to help Baze ramp up marketing efforts in the U.S.
I had the opportunity to try out the test myself. It’s pretty simple to do. You just open up a little pear-shaped device, pop it on your arm and then press it to engage and get it to start collecting your blood. After it’s done, plop it in the provided medical packaging and ship it off to a Baze-contracted lab.
I will say it is certainly more convenient to just pop on a little device myself — although it might be tricky if you’re at all squeamish, as you’ll see a little bubble where the blood is being sucked from your arm. For anyone who hesitates, it might be easier to just head to a lab and have another human do this for you.
The price is also nice, compared to going to a Quest Diagnostics or LabCorp, which can vary depending on which vitamins you need to test for individually. With Baze it’s just $100 a pop, plus any additional supplements you might want to buy via monthly subscription after you get your results. The first month of supplements is free with your kit.
Baze’s website will show your results within about 12 days (though Schulte tells TechCrunch the company is working on getting your results faster). It does so with a score and then displays a range of various vitamins tested.
I was told that, overall, I was getting the nutrients I require with a score of 74 out of 100. But I’m already pretty good at taking high-quality vitamins. The only thing that really stuck out was my zinc levels, which I was told was way off the charts high after running the test through twice. Though I suspect, as I am not displaying any symptoms of zinc poisoning, this was likely the result of not wiping off my zinc-based sunscreen well enough before the test began.
For those interested in conducting their own at-home test and not afraid to prick themselves in the arm with something that looks like you might have it on hand in the kitchen, you can do so by heading over to Baze and signing up.
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One of the private companies aiming to deliver a commercial lunar lander to the Moon has adjusted the timing for its planned mission, which isn’t all that surprising, given the enormity of the task. Japanese startup ispace is now targeting 2021 for their first lunar landing, and 2023 for a second lunar mission that will also include deploying a rover on the Moon’s surface.
The company’s HAKUTO-R program was originally planned to include a mission in 2020 that would involve sending a lunar orbital vehicle for demonstration purposes without any payloads, but that part of the plan has been scrapped in favor of focusing all efforts on delivering actual payloads for commercial customers by 2021 instead.
This updated focus, the company says, is due mostly to the speeding up of the global market for private launch services and payload delivery, including for things like NASA’s Commercial Lunar Payload Services program, wherein the agency is looking for a growing number of private contractors to support its own needs in terms of getting stuff to the Moon.
Although ispace itself isn’t on the list of nine companies selected in round one of NASA’s program, the Japanese company is supporting American nonprofit Draper in its efforts, which was one of the chosen. The Draper/ispace team-up happened after ispace’s initial commitment to its 2020 orbital demo, so its change in priorities makes sense given the new tie-up.
HAKUTO-R will use SpaceX’s Falcon 9 for its first missions, and the company has also signed partnerships with JAXA, Japan’s space agency, as well as new corporate partners including Suzuki, Sumitomo Corporation, Shogakukan and Citizen Watch.
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3D printing has become commonplace in the hardware industry, but because few materials can be used for it easily, the process rarely results in final products. A Swiss startup called Spectroplast hopes to change that with a technique for printing using silicone, opening up all kinds of applications in medicine, robotics and beyond.
Silicone is not very bioreactive, and of course can be made into just about any shape while retaining strength and flexibility. But the process for doing so is generally injection molding, great for mass-producing lots of identical items but not so great when you need a custom job.
And it’s custom jobs that ETH Zurich’s Manuel Schaffner and Petar Stefanov have in mind. Hearts, for instance, are largely similar but the details differ, and if you were going to get a valve replaced, you’d probably prefer yours made to order rather than straight off the shelf.
“Replacement valves currently used are circular, but do not exactly match the shape of the aorta, which is different for each patient,” said Schaffner in a university news release. Not only that, but they may be a mixture of materials, some of which the body may reject.
But with a precise MRI the researchers can create a digital model of the heart under consideration and, using their proprietary 3D printing technique, produce a valve that’s exactly tailored to it — all in a couple of hours.
A 3D-printed silicone heart valve from Spectroplast.
Although they have created these valves and done some initial testing, it’ll be years before anyone gets one installed — this is the kind of medical technique that takes a decade to test. So in the meantime they are working on “life-improving” rather than life-saving applications.
One such case is adjacent to perhaps the most well-known surgical application of silicone: breast augmentation. In Spectroplast’s case, however, they’d be working with women who have undergone mastectomies and would like to have a breast prosthesis that matches the other perfectly.
Another possibility would be anything that needs to fit perfectly to a person’s biology, like a custom hearing aid, the end of a prosthetic leg or some other form of reconstructive surgery. And of course, robots and industry could use one-off silicone parts as well.
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There’s plenty of room to grow, it seems, and although Spectroplast is just starting out, it already has some 200 customers. The main limitation is the speed at which the products can be printed, a process that has to be overseen by the founders, who work in shifts.
Until very recently Schaffner and Stefanov were working on this under a grant from the ETH Pioneer Fellowship and a Swiss national innovation grant. But in deciding to depart from the ETH umbrella they attracted a 1.5 million Swiss franc (about the same as dollars just now) seed round from AM Ventures Holding in Germany. The founders plan to use the money to hire new staff to crew the printers.
Right now Spectroplast is doing all the printing itself, but in the next couple of years it may sell the printers or modifications necessary to adapt existing setups.
You can read the team’s paper showing their process for creating artificial heart valves here.
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NASA and Hewlett Packard Enterprise (HPE) have teamed up to build a new supercomputer, which will serve NASA’s Ames Research Center in California and develop models and simulations of the landing process for Artemis Moon missions.
The new supercomputer is called “Aitken,” named after American astronomer Robert Grant Aitken, and it can run simulations at up to 3.69 petaFLOPs of theoretical performance power. Aitken is custom-designed by HPE and NASA to work with the Ames modular data center, which is a project it undertook starting in 2017 to massively reduce the amount of water and energy used in cooling its supercomputing hardware.
Aitken employs second-generation Intel Xeon processors, Mellanox InfiniBand high-speed networking, and has 221 TB of memory on board for storage. It’s the result of four years of collaboration between NASA and HPE, and it will model different methods of entry, descent and landing for Moon-destined Artemis spacecraft, running simulations to determine possible outcomes and help determine the best, safest approach.
This isn’t the only collaboration between HPE and NASA: The enterprise computer maker built for the agency a new kind of supercomputer able to withstand the rigors of space, and sent it up to the ISS in 2017 for preparatory testing ahead of potential use on longer missions, including Mars. The two partners then opened that supercomputer for use in third-party experiments last year.
HPE also announced earlier this year that it was buying supercomputer company Cray for $1.3 billion. Cray is another long-time partner of NASA’s supercomputing efforts, dating back to the space agency’s establishment of a dedicated computational modeling division and the establishing of its Central Computing Facility at Ames Research Center.
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Superlatives abound at Cerebras, the until-today stealthy next-generation silicon chip company looking to make training a deep learning model as quick as buying toothpaste from Amazon. Launching after almost three years of quiet development, Cerebras introduced its new chip today — and it is a doozy. The “Wafer Scale Engine” is 1.2 trillion transistors (the most ever), 46,225 square millimeters (the largest ever), and includes 18 gigabytes of on-chip memory (the most of any chip on the market today) and 400,000 processing cores (guess the superlative).
Cerebras’ Wafer Scale Engine is larger than a typical Mac keyboard (via Cerebras Systems)
It’s made a big splash here at Stanford University at the Hot Chips conference, one of the silicon industry’s big confabs for product introductions and roadmaps, with various levels of oohs and aahs among attendees. You can read more about the chip from Tiernan Ray at Fortune and read the white paper from Cerebras itself.
Superlatives aside though, the technical challenges that Cerebras had to overcome to reach this milestone I think is the more interesting story here. I sat down with founder and CEO Andrew Feldman this afternoon to discuss what his 173 engineers have been building quietly just down the street here these past few years with $112 million in venture capital funding from Benchmark and others.
First, a quick background on how the chips that power your phones and computers get made. Fabs like TSMC take standard-sized silicon wafers and divide them into individual chips by using light to etch the transistors into the chip. Wafers are circles and chips are squares, and so there is some basic geometry involved in subdividing that circle into a clear array of individual chips.
One big challenge in this lithography process is that errors can creep into the manufacturing process, requiring extensive testing to verify quality and forcing fabs to throw away poorly performing chips. The smaller and more compact the chip, the less likely any individual chip will be inoperative, and the higher the yield for the fab. Higher yield equals higher profits.
Cerebras throws out the idea of etching a bunch of individual chips onto a single wafer in lieu of just using the whole wafer itself as one gigantic chip. That allows all of those individual cores to connect with one another directly — vastly speeding up the critical feedback loops used in deep learning algorithms — but comes at the cost of huge manufacturing and design challenges to create and manage these chips.
Cerebras’ technical architecture and design was led by co-founder Sean Lie. Feldman and Lie worked together on a previous startup called SeaMicro, which sold to AMD in 2012 for $334 million. (Via Cerebras Systems)
The first challenge the team ran into according to Feldman was handling communication across the “scribe lines.” While Cerebras chip encompasses a full wafer, today’s lithography equipment still has to act like there are individual chips being etched into the silicon wafer. So the company had to invent new techniques to allow each of those individual chips to communicate with each other across the whole wafer. Working with TSMC, they not only invented new channels for communication, but also had to write new software to handle chips with trillion plus transistors.
The second challenge was yield. With a chip covering an entire silicon wafer, a single imperfection in the etching of that wafer could render the entire chip inoperative. This has been the block for decades on whole wafer technology: due to the laws of physics, it is essentially impossible to etch a trillion transistors with perfect accuracy repeatedly.
Cerebras approached the problem using redundancy by adding extra cores throughout the chip that would be used as backup in the event that an error appeared in that core’s neighborhood on the wafer. “You have to hold only 1%, 1.5% of these guys aside,” Feldman explained to me. Leaving extra cores allows the chip to essentially self-heal, routing around the lithography error and making a whole wafer silicon chip viable.
Those first two challenges — communicating across the scribe lines between chips and handling yield — have flummoxed chip designers studying whole wafer chips for decades. But they were known problems, and Feldman said that they were actually easier to solve that expected by re-approaching them using modern tools.
He likens the challenge though to climbing Mount Everest. “It’s like the first set of guys failed to climb Mount Everest, they said, ‘Shit, that first part is really hard.’ And then the next set came along and said ‘That shit was nothing. That last hundred yards, that’s a problem.’”
And indeed, the toughest challenges according to Feldman for Cerebras were the next three, since no other chip designer had gotten past the scribe line communication and yield challenges to actually find what happened next.
The third challenge Cerebras confronted was handling thermal expansion. Chips get extremely hot in operation, but different materials expand at different rates. That means the connectors tethering a chip to its motherboard also need to thermally expand at precisely the same rate lest cracks develop between the two.
Feldman said that “How do you get a connector that can withstand [that]? Nobody had ever done that before, [and so] we had to invent a material. So we have PhDs in material science, [and] we had to invent a material that could absorb some of that difference.”
Once a chip is manufactured, it needs to be tested and packaged for shipment to original equipment manufacturers (OEMs) who add the chips into the products used by end customers (whether data centers or consumer laptops). There is a challenge though: absolutely nothing on the market is designed to handle a whole-wafer chip.
Cerebras designed its own testing and packaging system to handle its chip (Via Cerebras Systems)
“How on earth do you package it? Well, the answer is you invent a lot of shit. That is the truth. Nobody had a printed circuit board this size. Nobody had connectors. Nobody had a cold plate. Nobody had tools. Nobody had tools to align them. Nobody had tools to handle them. Nobody had any software to test,” Feldman explained. “And so we have designed this whole manufacturing flow, because nobody has ever done it.” Cerebras’ technology is much more than just the chip it sells — it also includes all of the associated machinery required to actually manufacture and package those chips.
Finally, all that processing power in one chip requires immense power and cooling. Cerebras’ chip uses 15 kilowatts of power to operate — a prodigious amount of power for an individual chip, although relatively comparable to a modern-sized AI cluster. All that power also needs to be cooled, and Cerebras had to design a new way to deliver both for such a large chip.
It essentially approached the problem by turning the chip on its side, in what Feldman called “using the Z-dimension.” The idea was that rather than trying to move power and cooling horizontally across the chip as is traditional, power and cooling are delivered vertically at all points across the chip, ensuring even and consistent access to both.
And so, those were the next three challenges — thermal expansion, packaging, and power/cooling — that the company has worked around-the-clock to deliver these past few years.
Cerebras has a demo chip (I saw one, and yes, it is roughly the size of my head), and it has started to deliver prototypes to customers according to reports. The big challenge though as with all new chips is scaling production to meet customer demand.
For Cerebras, the situation is a bit unusual. Since it places so much computing power on one wafer, customers don’t necessarily need to buy dozens or hundreds of chips and stitch them together to create a compute cluster. Instead, they may only need a handful of Cerebras chips for their deep-learning needs. The company’s next major phase is to reach scale and ensure a steady delivery of its chips, which it packages as a whole system “appliance” that also includes its proprietary cooling technology.
Expect to hear more details of Cerebras technology in the coming months, particularly as the fight over the future of deep learning processing workflows continues to heat up.
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In the latest episode of Flux podcast, I sit down with Eric Marcotulli, the co-founder of Elysium, a life sciences company developing consumer-facing health products based on aging research. The company’s first product is Basis, a supplement that combines compounds designed to increase NAD levels and activate sirtuins, boosting cellular health and longevity.
In this conversation we discuss why precursor companies failed, including Cambridge-based Sirtris Pharmaceuticals, which was bought for $720 million in 2008. Eric explains how Elysium is a platform-based company that will sell a host of products and diagnostics, why he believes direct to consumer is the best market strategy, and what the current user base looks like. The company just announced a new clinical trial this week. Eric gets into the importance of bringing academic rigor and peer review to the supplement category, how he plans to build consumer trust and ultimately pull it into the mainstream. He shares why he believes in open source research, how cellular senescence is a particular area of interest right now, what his personal health routine is and how he thinks about the singularity.
An excerpt of our conversation is published below. Full transcript on Medium.

ALG: Welcome everyone to the latest episode of Flux. I’m excited to have Eric Marcotulli here today. He is the co-founder and CEO of Elysium Health a company that is rethinking healthcare whose first product is a science based supplement that promotes cellular health. Welcome.
EM: Thank you.
ALG: Appreciate it. I’ve been excited about your company for a long time. It’s nice to meet in person.
EM: Likewise.
ALG: As a New York based VC it’s also great to meet New York based companies, especially science focused companies. I’d love to start by hearing the beginnings of Elysium. You started the company in 2014. I talked to one of your investors last summer, he said to ask you the story of how you met your co-founder at Equinox — is that true?
EM: So there’s two co-founders and they both have their own stories. I’ll start with my scientific co-founder, Leonard Guarente. Leonard’s run the biology of aging Lab at MIT for the last 25 to 30 years. I didn’t set out to become an entrepreneur. It was a confluence of events.

If you go back to 2011, 2012 I was in business school and in one of my classes we were studying a company that in the field of aging is well known but outside is not. It’s called Sirtris Pharmaceuticals and it was a Boston based biotech company going back to the mid 2000s. What’s interesting about this company is they were studying processes of aging and they identified one in particular. It was a class of genes that we now affectionately refer to as longevity genes. They’re called sirtuins. What they identified was that these genes are found in every living thing and that the activity level of these genes decreases through the normal course of aging. And when they reactivated these genes they saw amazing benefits, regardless of which model or organism you were looking at. They would live to the human equivalent of 120 years old. They don’t get cancer. They don’t gain weight.
ALG: You mean the mice?

EM: That’s right. Life is pretty good at this point if you’re a mouse. It was a monumental discovery in terms of aging research and it got the researchers nominated for the Nobel Prize. One of the researchers involved in that series of discoveries in the late 90s early 2000s went off to Harvard to open his own lab. And being more risk-seeking he was screening for natural molecules that could potentially activate these genes. The hypothesis there, which has since carried over to Elysium, is that aging itself isn’t a disease. It’s about the interconnected degradation or failure of our own biological processes and metabolisms. There is a prevailing hypothesis we are seeing develop that natural compounds will be the most effective interventions. That was the approach taken there, and the researcher’s name is David Sinclair. He screened natural product libraries for potential hits that could activate these genes.

And he found one, a derivative of red wine called resveratrol. Some people have heard of this. If you look back at the ‘04 ‘05 time frame there was a massive spike in red wine sales due to all the media coverage around it. So they started a company, Sirtris. So they make you the protagonist in this case study, and you have to make a decision as the management of the company. What was interesting was that you have a natural product and that aging isn’t a disease. To try and create a traditional pharmaceutical company and go after diseases you’d be trying to fit a square peg in a round hole. You’d likely have to modify the molecule, you would have to start looking at disease models. On the other hand, you could build a direct to consumer company, where you don’t have to modify the molecule, and aging isn’t a disease so you don’t have to go through a laborious long-term and huge cost effort from an approval standpoint. We debated the merits of both of these business models. I was firmly in the camp of the consumer facing effort, because I was reading this research and saying, how could anybody sitting in this room not want this for themselves or their parents or their friends?
ALG: Right.
EM: It ends up not mattering which position you take. [In 2008] GlaxoSmithKline stepped in and bought the company for almost three quarters of a billion in cash, before they read any human data. I was fascinated at this point with the research. If you had played word association with me going into that class and you said “anti-aging” and “longevity” I would have just rattled off “late-night infomercials” and “snake oil.”
ALG: So that class awakened you to the industry and got you interested?
EM: That’s right. I didn’t know this was something you could study. Aging — most people think it’s an unstoppable ambiguous force. But it’s not. It’s something that we can now quantify and measure and potentially intervene. That was new to me, the fact that people at MIT and Harvard were studying this and making progress. So I left that fascinated. Shortly thereafter I reached out directly to the the the MIT professor who was the original discoverer of these genes, the sirtuins. I reached out to the scientific co-founder at Harvard. The question I had was, whatever happened to this? Because now it’s almost a decade since the acquisition. There had been little news on it. If you fast forward to today the MIT professor, the one where they made the original discoveries of the longevity genes, is now the co-founder of Elysium.
Elysium Health co-founders Eric Marcotulli, Dan Alminana, Leonard Guarente.
ALG: Leonard?
EM: Yes. Dr. Guarente. Or Lenny as we call him. Lenny and I just started off with conversations around how the research had progressed. At one point Lenny called me and said, “I’ve been approached by a Japanese venture capitalist who has invested in a company in Taiwan. They believe they have a potent sirtuin activating compound that’s very different from the resveratrol molecule.” He said, “I know nothing about the business side of things. We’re dealing with a venture capitalist and you’re a venture capitalist.” I was at the time — before business school I was at Bain Capital Ventures, after I was at Sequoia. He said, “would you want to go with me to look at this potential molecule?”
I said, “I don’t know how much help I can be but I’m happy to go with you.” So Lenny and I met for the first time six months after our first phone call. This was late 2012. We met in San Francisco International Airport and went to Taiwan for a few days. It was a fascinating experience. We ultimately passed on that molecule despite some interesting research. But it was through that that Lenny and I came up with this idea that you could build a direct to consumer facing effort and that there would be more of these types of products, that it wasn’t limited to a single product idea. So this was the vision for creating a platform-based company.
ALG: So that’s how you met him. And it sounds like you explored a couple of different routes in terms of what molecules could stimulate sirtuins right?
EM: That’s right.
ALG: And the one you ultimately went for first is NAD?
EM: So there’s two components to the product we have today, which is called Basis. One of the things that Lenny and his constituencies in the research community had identified was that sirtuins are dependent on a coenzyme called NAD. We didn’t know that at the time that Sirtris was founded. It’s the production of NAD — a coenzyme, a fuel that’s used in a variety of reactions at the metabolic level — it was actually the production of this coenzyme that was decreasing in all of these living things. So NAD itself is not new. We’ve known about it for a hundred years. Two Nobel prizes have been awarded for elucidating its function. It’s important for things like DNA maintenance and repair, the creation of energy, the way the cells communicate both internally and with one another. Without NAD you’d be dead in under a minute. It’s very important. So this idea that it was decreasing, which we didn’t know until 2012, was a monumental discovery.
ALG: Decreasing over a mouse or human lifespan?
EM: Universally. Whether you’re a plant, animal, bacteria — doesn’t matter. You have NAD, you use it for these critical functions and it declines in its production in everything that ages. But not every living thing ages. Jellyfish don’t age for example.
ALG: Oh wow. What’s going on with their NAD?
EM: Well we don’t know yet. But it’s a small number [of organisms]. In everything else you see this decrease [in NAD] when the organism ages. Since we didn’t know this, Lenny said trying to activate these sirtuins would have been a failure regardless. So what we first need to do is restore levels of NAD. Then we need to activate these sirtuins. And we know that resveratrol does not work in humans. So that was another discovery that happened in the subsequent time period after the acquisition.
ALG: So all the red wine articles are baloney?
EM: Well interestingly if you drink red wine you do get the benefit of sirtuin activation. You just have to drink quite a bit of it.
ALG: I can do that.
EM: Ha most people say that. So that’s just an example of removing a high purity molecule from its natural carrier state in the wine to a pill as an example, which was a failure in humans. So we identified a cousin of resveratrol called pterostilbene [an antioxidant], which from a structural standpoint, at the molecular level, is more stable.
ALG: The stuff found in blueberries?
EM: That’s right. If you could choose one food for the rest of your life my recommendation would be blueberries. Some people would disagree with me. Maybe it’s wine. But that was the idea behind Basis. First we need to restore levels of NAD. Secondly we can then go in and activate these longevity genes. And that there would be a synergy associated with that. The best way to think about it would be sports cars. If you’re activating sirtuins it’s like putting a turbo in the engine, but the car still requires some energy source. So if there’s no gasoline, or if you own a Tesla and there’s no battery power, it’s not going to work. But once you have the two of them together there’s a supercar.
ALG: It’s actually an analogy a lot of people use for aging. I don’t know if you know Aubrey de Grey and the SENS foundation, but he talks about aging as a disease. That it’s just like a car and we need to figure out how to repair the car and the many different things that go into that. I also want to ask you more about this reframing of how we think about living longer, and how the healthcare system doesn’t consider aging a problem so far or something to tackle. How does the shift happen?
EM: Part of it is, we are going to have to deal with it regardless. Everything we’re seeing now given the advancements in medicine is somehow related to aging. If you survive cancer you are unfortunately going to die from Alzheimer’s or cardiovascular disease or Type 2 diabetes. I won’t get the number exactly right, but if you cured every single form of cancer it would only add about three years of lifespan collectively, on average.
ALG: Because there’s going to be another disease that kills you.
EM: Correct. So for example, one of the areas we’re interested in is something called acute kidney injury. Thirty percent of people who go in for cardiovascular surgery will develop acute kidney injury, and with too much of it you’ll get kidney failure and dialysis. In 2004 there were just shy of a million cases in the United States of acute kidney injury. In 2014 just 10 years later there were four million cases. It’s not that our surgical techniques changed, it’s that older people are going in for these surgeries more often because our healthcare system is actually getting better. So we’re going to have to deal with these things. Two, from a diagnostic standpoint we are moving — out of necessity, at the research level — into an area where we’re now able to quantify aging. As an example there is an epigenetic test, a cheek swab or a spit tube type test, developed at UCLA in conjunction with the National Institutes of Health. It can basically tell you your biological age. The age on your passport or your driver’s license is your chronological age. But there’s something that the gene activity expression data we collect can tell you about how you are aging.
ALG: Is that a hard test to do? I’m sure everyone would want to do that if they could.
EM: So we are commercializing this test. Think of it as rings of a tree. Over time you can get a pretty accurate understanding of a single tree. How old is it. Did it go through a bountiful spring or a terrible winter. Was there a forest fire. That’s at the individual level. Then when you look at the macro level, at the forest, you can learn a lot about that particular ecosystem. It’s an oversimplification of the idea but it’s the same thing every time, looking at something called methylation. Every time one of these sites is methylated it leaves a mark. So we can quantify that and say does this intervention or product reverse, slow, or stop the aging process.
ALG: That’s a game changer for you right. Because everyone thinks it’s a good idea to take [the product], why not. But without being able to measure a result, it is hard to say. People do report feeling better in the short term — less hangovers etc. I saw one of your advisers say something about his elbows getting softer—
EM: Oh Rich.
ALG: Yeah. A lot of great side effects that sound like they are worth having anyway. Like great energy peaks.
EM: Right. As we move towards aging, we would argue that it should be classified as a disease. But today it’s difficult because it’s not a moment in time diagnosis. It’s not like one day you wake up feeling symptoms and you go to the doctor and he says, “yes we ran the tests and you have aging.” It’s a decades long accumulation of mutations and failures and other things. So these types of diagnostics have been developed by the research community out of necessity. They need to understand does this intervention actually slow, stop, or reverse aging. That’s just one measure. We’re going to see other diagnostics that take shape and form over the next several years. So to your point, that’s important for us. Because one, the conversation today has been around, OK if you can reverse this fundamental process of aging what does it mean for me? It’s one thing to say, the models that exist today could show efficacy in cancer or neurodegenerative diseases et cetera. But there’s been nothing between showing the reversal of that process and the outcome of it from a disease standpoint. So this idea that there’s a middle ground, something where you can say, well the speed at which you’re aging has changed for the better. That is an important step in the entire process.
ALG: That’s super exciting. So what does the roadmap look like? Lets get into the product so that listeners who haven’t seen it know. Out the gate, your first product was Basis, the daily supplement which is $50 a month for a subscription, or $480 for the year. And it’s recommended that you take two pills in the morning. So that’s product one. It sounds like there’s a lot of other things in the works? How do the diagnostics fit in?
EM: Sure. Going back to the hypothesis for the company — we sought early on to commercialize these technologies on a platform basis. We knew the diagnostics were coming. We knew that there would be other interventions. The third leg of the stool would be things on the digital front or the wearable front. We’re still a bit aways away from seeing the commensurate rigor in that camp. One is — as you mentioned earlier — the diagnostics are important to show the efficacy broadly speaking for these products. The other thing that’s exciting is this idea of N of 1. We’re finally going to be able to move into the realm of personalization. First, is this product working for me? Second, what is it doing for me? Third, how would I have to modify my lifestyle or administration of the product?
That’s how we think about the world from a product development standpoint, through these systems. Apple is an exaggerated example but they’ve done a fantastic job from a platform basis — of providing the app store and cloud services to integrate all the devices you have. What’s interesting about these diagnostics that we’re developing is that they are very much a subscription in nature. What you’re doing today is going to be different to what you’re doing tomorrow. Your health status may change for a whole host of reasons, genetic or otherwise. Since these aren’t just genetic tests looking at your ancestry, our hope is that 5 or 10 years in the future this is part of your annual checkup.
ALG: And there’s no negative side effects that we know?
EM: No. By and large this is one of the safest products we’ve ever seen, with all of the data that we have and millions and millions of data points in ongoing safety testing. Moving beyond that requires us to prove more digestible and accessible points of understanding. This idea of rate of aging is a step in that direction. We’re also, as an example, doing a study on photo aging of the skin based on both the existing body of literature that’s out there as well as feedback we’ve had from customers. The conversation changes a lot if I can put you under a special camera that shows the UV damage to your skin and then shows you the before and after of someone who has taken the product for six months and how it changed them. Even just showing wrinkles and things like that. Things that people are used to, from a marketing standpoint, but they might not actually see the science in it today. So there is that evolution. The evolution from, yes we can reverse this fundamental process of aging to, well what does that mean for me? Well it means it’s actually going to change the rate at which you age, which is tied to your health and all these diseases. Well OK, now I can actually tell you that it’s going to do XYZ for your skin, brain or whatever it might be.
ALG: You say upfront that this is about improving cellular function, but there’s no guarantee of longevity, though of course the name has connotations there. I’d like to ask your thoughts on longevity. There’s now things like cryo and people are signing up for places like Alcor. Do you think if we all had the ability to live forever, that that would be a good thing?
EM: So you skipped over the easier question. We’re focused on healthspan first and foremost. If you go into a room of people, and we do this all the time, and you say to the audience, “We’re going to take a quick poll. How many of you want to live forever? How many of you want to live to 120 or 150? How many of you want to live to 80?” It’s interesting to see the distribution. If you then say, “you are going to live to that age but you’re going to be as healthy as you are today, would you change your answer?” Most people do. So we are first and foremost focused on quality of life and healthspan. The belief is, ultimately if you improve every day, that you’ll have more days on the back end.
ALG: So it would be fine to go to 90 with a 20 year old’s full health, then kick the bucket. That’s more the goal.
EM: That’s exactly it. We’ve all dealt with it ourselves with loved ones. No one wants to live for another 10 or 20 years in a certain state. Usually the conversation is, what are the implications of that. From our standpoint, every time humanity has had an order of magnitude improvement in health — the introduction of antibiotics for example — I don’t think we’ve ever seen humanity broadly say, we don’t need this or we don’t want it. I do think the question changes with the singularity. Which is living forever.
ALG: We should probably do another 40 minutes on the singularity, it’s an important topic.
EM: It is. I always say without question in our lifetime we will see a merging with something digital. Musk has announced his Neurolink technology recently and is claiming to make progress on it, so it may happen. We’re not going to be able to predict when it happens. And when it happens it’s going to happen quickly. That’s dangerous for a whole host of reasons. But I’m not sure we have a good answer for, “should we?”
ALG: I guess the answer is in splitting the question into healthspan and lifespan. People are generally in agreement on healthspan. Lifespan is more of a question mark.
EM: Without question. If you talk to anybody in the aging community at the research level, we would be surprised to hear them say, let’s focus on longevity first. Everybody is actually focused on understanding its implications and its role in human health more broadly and how interventions might change that. Then of course the idea is, well if we can get rid of all these diseases of aging, you would think that you’re going to live longer too. In a higher quality state.
ALG: It does amaze me. From a personal perspective I am signed up at Alcor. Do I think it’s going to work? Not really. But I did it for other reasons—
EM: Yes. I think we as a group need to hold companies in this space to a higher standard than we have in the last 10 years in terms of these types of things. I always say when someone brings me a product — even the products that I’m interested in — What is the research behind it? Where are the studies published? What do they find? How are they designed? If you just look at the supplement portion of our business, the consumer facing interventions, it’s a $35 billion dollar market in the United States.
ALG: And that’s with the current low standards and general snake oil perceptions [in supplements.]
EM: Of course. The other thing is, if you stop someone on the street and ask, “what’s your favorite supplement company?” you’re going to get a puzzled look back. No one walks around with a hat or a bag that has one of these companies on it. That’s because they lack legitimacy. That’s a huge part of Elysium’s mission. Hiring with the rigor that you would see in life sciences on the pharma side, into the consumer market. This is part of the shift. We will see legitimate companies not just Elysium, but others in the consumer sphere, changing this conversation. The market will look like a lot of other markets as opposed to this fragmented, untrustworthy one that we see today. That evolution might take a little longer. But ultimately we’re going to end up in a place where people feel good about the products they’re buying, because only the products that work are going to survive.
The global supplements market was estimated at USD $115.06 billion in 2018. It is expected to grow at a CAGR of 7.8% in coming years. [Source]
ALG: It’s interesting because you’re a pioneer in this area of supplements. There are other supplements startups, such as prenatal which is also taking off. But there’s less controversy — people say, prenatal vitamins? Of course, why wouldn’t you take that. With yours there’s more questions. My point on Alcor and backlash was that people have strong opinions on human longevity.
EM: It’s interesting. Our category is hot right now. In a lot of these established categories — take prenatal — there’s great literature supporting the use of folic acid. There’s companies that sell products around that. But they’ll make unique claims or link to literature that’s been done by other companies on other formulations or other delivery methodologies. Those can be dangerous. The data might appear to be good but in fact their own product hasn’t been tested. We have to do it by virtue of what you highlighted, the fact that we are new. But the buyer should beware of whether this exact formulation or exact product was tested for what it’s claiming to accomplish for you.
ALG: So you’re trying to do as much as you can in-house, which includes all R&D at the moment?
EM: Yes. We have a very open source model. One of the things we did, going back two or three years, was we did a randomized, placebo-controlled, double blind study on Basis to show that it could actually restore levels of NAD. We had to show that it actually did what it did. Now that’s mechanism of action in terms of what we’re showing. We didn’t show any tangible health benefits in that particular study, it was just the reversal—
ALG: That was the 2017 study?
EM: That’s right. It was an important first step to show that.

ALG: NAD levels increased by an average of 40 percent in your users?
EM: Yes. In a one month span. Then that was sustained over a period of time after that. And it was done safely. But if a traditional pharmaceutical company had done that study they would have just internally validated that the product works, then continued their research. We chose to publish and announce it. What we found was an influx of research interest from MDs and PHDs all around the world who said, “I’m interested in NAD repletion or sirtuin activation, and I now know that your product can safely and sustainably reverse this decline. Would you be willing to work on this particular health problem with me?” So a lot of it we do internally. And a lot of it is also driven by the scientific advisory board or collaborators that approach us and say we’d love to do something with you. This idea of open source is something that’s important to us and we encourage others to pursue it as well.
ALG: A lot of exciting stuff going on there. To wrap up is there anything else you want to share about the company or what we should expect in the next six to eight months?
EM: In terms of 2019, it is our plan to launch new products in both of the categories we talked about. You’ll see new diagnostics and you’ll see new interventions from us.
ALG: Exciting. I can’t wait to see. Thanks Eric for coming on. It’s great to meet and I look forward to seeing the products when they come out.
EM: Great. Thank you.
ALG: Thank you.
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Much of Silicon Valley mythology is centered on the founder-as-hero narrative. But historically, scientific founders leading the charge for bio companies have been far less common.
Developing new drugs is slow, risky and expensive. Big clinical failures are all too common. As such, bio requires incredibly specialized knowledge and experience. But at the same time, the potential for value creation is enormous today more than ever with breakthrough new medicines like engineered cell, gene and digital therapies.
What these breakthroughs are bringing along with them are entirely new models — of founders, of company creation, of the businesses themselves — that will require scientists, entrepreneurs and investors to reimagine and reinvent how they create bio companies.
In the past, biotech VC firms handled this combination of specialized knowledge + binary risk + outsized opportunity with a unique “company creation” model. In this model, there are scientific founders, yes; but the VC firm essentially founded and built the company itself — all the way from matching a scientific advance with an unmet medical need, to licensing IP, to having partners take on key roles such as CEO in the early stages, to then recruiting a seasoned management team to execute on the vision.
Image: PASIEKA/SCIENCE PHOTO LIBRARY/Getty Images
You could call this the startup equivalent of being born and bred in captivity — where great care and feeding early in life helps ensure that the company is able to thrive. Here the scientific founders tend to play more of an advisory role (usually keeping day jobs in academia to create new knowledge and frontiers), while experienced “drug hunters” operate the machinery of bringing new discoveries to the patient’s bedside. This model’s core purpose is to bring the right expertise to the table to de-risk these incredibly challenging enterprises — nobody is born knowing how to make a medicine.
But the ecosystem this model evolved from is evolving itself. Emerging fields like computational biology and biological engineering have created a new breed of founder, native to biology, engineering and computer science, that are already, by definition, the leading experts in their fledgling fields. Their advances are helping change the industry, shifting drug discovery away from a highly bespoke process — where little knowledge carries over from the success or failure of one drug to the next — to a more iterative, building-block approach like engineering.
Take gene therapy: once we learn how to deliver a gene to a specific cell in a given disease, it is significantly more likely we will be able to deliver a different gene to a different cell for another disease. Which means there’s an opportunity not only for novel therapies but also the potential for new business models. Imagine a company that provides gene delivery capability to an entire industry — GaaS: gene-delivery as a service!
Once a founder has an idea, the costs of testing it out have changed too. The days of having to set up an entire lab before you could run your first experiments are gone. In the same way that AWS made starting a tech company vastly faster and easier, innovations like shared lab spaces and wetlab accelerators have dramatically reduced the cost and speed required to get a bio startup off the ground. Today it costs thousands, not millions, for a “killer experiment” that will give a founding team (and investors) early conviction.
What all this amounts to is scientific founders now have the option of launching bio companies without relying on VCs to create them on their behalf. And many are. The new generation of bio companies being launched by these founders are more akin to being born in the wild. It isn’t easy; in fact, it’s a jungle out there, so you need to make mistakes, learn quickly, hone your instincts, and be well-equipped for survival. On the other hand, given the transformative potential of engineering-based bio platforms, the cubs that do survive can grow into lions.
Image via Getty Images / KTSDESIGN/SCIENCE PHOTO LIBRARY
So, which is better for a bio startup today: to be born in the wild — with all the risk and reward that entails — or to be raised in captivity
The “bred in captivity” model promises sureness, safety, security. A VC-created bio company has cache and credibility right off the bat. Launch capital is essentially guaranteed. It attracts all-star scientists, executives and advisors — drawn by the balance of an innovative, agile environment and a well-funded, well-connected support network. I was fortunate enough to be an early executive in one of these companies, giving me the opportunity to work alongside industry luminaries and benefit from their well-versed knowledge of how to build a world-class bio company with all its complex component parts: basic, translational, clinical research, from scratch. But this all comes at a price.
Because it’s a heavy lift for the VCs, scientific founders are usually left with a relatively small slug of equity — even founding CEOs can end up with ~5% ownership. While these companies often launch with headline-grabbing funding rounds of $50m or above, the capital is tranched — meaning money is doled out as planned milestones are achieved. But the problem is, things rarely go according to plan. Tranched capital can be a safety net, but you can get tangled in that net if you miss a milestone.
Being born in the wild, on the other hand, trades safety for freedom. No one is building the company on your behalf; you’re in charge, and you bear the risk. As a recent graduate, I co-founded a company with Harvard geneticist George Church. The company was bootstrapped — a funding strategy that was more famine than feast — but we were at liberty to try new things and run (un)controlled experiments like sequencing heavy metal wildman Ozzy Osbourne.

It was the early, Wild West days of the genomics revolution and many of the earliest biotech companies mirrored that experience — they weren’t incepted by VCs; they were created by scrappy entrepreneurs and scientists-turned-CEO. Take Joshua Boger, organic chemist and founder of Vertex Pharmaceuticals: starting in 1989 his efforts to will into existence a new way to develop drugs, thrillingly captured in Barry Werth’s The Billion-Dollar Molecule and its sequel The Antidote in all its warts and nail-biting glory, ultimately transformed how we treat HIV, hepatitis C and cystic fibrosis.
Today we’re in a back-to-the-future moment and the industry is being increasingly pushed forward by this new breed of scientist-entrepreneur. Students-turned-founder like Diego Rey of in vitro diagnostics company GeneWEAVE and Ramji Srinivasan of clinical laboratory Counsyl helped transform how we diagnose disease and each led their companies to successful acquisitions by larger rivals.
Popular accelerators like Y Combinator and IndieBio are filled with bio companies driven by this founder phenotype. Ginkgo Bioworks, the first bio company in Y Combinator and today a unicorn, was founded by Jason Kelly and three of his MIT biological engineering classmates, along with former MIT professor and synthetic biology legend Tom Knight. The company is not only innovating new ways to program biology in order to disrupt a broad range of industries, but it’s also pioneering an innovative conglomerate business model it has dubbed the “Berkshire for biotech.”
Like the Ginkgo founders, Alec Nielsen and Raja Srinivas launched their startup Asimov, an ambitious effort to program cells using genetic circuits, shortly after receiving their PhDs in biological engineering from MIT. And, like Boger, renowned machine learning Stanford professor Daphne Koller is working to once again transform drug discovery as the founder and CEO of Instiro.
Just like making a medicine, no one is born knowing how to build a company. But in this new world, these technical founders with deep domain expertise may even be more capable of traversing the idea maze than seasoned operators. Engineering-based platforms have the potential to create entirely new applications with unprecedented productivity, creating opportunities for new breakthroughs, novel business models, and new ways to build bio companies. The well-worn playbooks may be out of date.
Founders that choose to create their own companies still need investors to scrub in and contribute to the arduous labor of company-building — but via support, guidance, and with access to networks instead. And like this new generation of founders, bio investors today need to rethink (and re-value) the promise of the new, and still appreciate the hard-earned wisdom of the old. In other words, bio investors also need to be multidisciplinary. And they need to be comfortable with a different kind of risk: backing an unproven founder in a new, emerging space. As a founder, if you’re willing to take your chances in the wild, you should have an investor that understands you, believes in you, can support you and, importantly, is willing to dream big with you.
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Private rocket launch startup and SpaceX competitor Rocket Lab made a big announcement today: It’ll be looking to re-use the first stage of its Electron rockets, returning them to Earth with a controlled landing after they make their initial trip to orbit with the payload on board. The landing sequence will be different from SpaceX’s however: They’ll attempt to catch the returned first stage mid-air using a helicopter.
That’s in part because, as Rocket Lab founder and CEO Peter Beck told a crowd when announcing the news today, the company is “not doing a propulsive re-entry” and “we’re not doing a propulsive landing,” and instead will leach off its immense speed upon return to Earth through a turnaround burn in space before releasing a parachute to slow it down enough for a helicopter to catch it.
There are a number of steps required to get to that point, but already, Rocket Lab has been looking to measure all the data it needs to ensure this is possible through its last few launches. It’s upgrading the instrumentation for its eighth flight to gather yet more data, and then on flight 10 it’ll have the rocket splash down into the ocean to recover that rocket for even more learning. Then, during a flight to be determined later (Beck is unwilling to put a number on it at this stage) they’ll try to actually bring one down in good enough shape to reuse it.
As for why, there’s a clear advantage to being able to re-fly rockets, and it’s a simple one to understand when you realize that there’s a huge amount of demand for commercial launches.
“The fundamental reason we’re doing this is launch frequency,” Beck said. “Even if I can get the stage done once, I can effectively double production ratio.”
Beck also added that the biggest difficulty will be braking the rocket’s speed as it returns to Earth — a feat next to which he said the actual mid-air capture of the Electron via helicopter is actually pretty easy, from his POV as an amateur helicopter pilot in training.
Rocket Lab has an HQ in Huntington Beach, Calif. and its own private launch site in New Zealand; it was founded in 2006 by Beck. The company has been test launching its orbital Electron rocket since 2017, and serving customers commercially since 2018. It also intends to launch from Virginia in the U.S. starting in 2019.
The company revealed its Photon satellite platform earlier this year, which would allow small satellite operators to focus on their specific service and use the off-the-shelf Photon design to skip the step of actually designing and building the satellite itself.
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Here at TechCrunch, we like to think about what’s next, and there are few technologies quite as exotic and futuristic as quantum computing. After what felt like decades of being “almost there,” we now have working quantum computers that are able to run basic algorithms, even if only for a very short time. As those times increase, we’ll slowly but surely get to the point where we can realize the full potential of quantum computing.
For our TechCrunch Sessions: Enterprise event in San Francisco on September 5, we’re bringing together some of the sharpest minds from some of the leading companies in quantum computing to talk about what this technology will mean for enterprises (p.s. early-bird ticket sales end this Friday). This could, after all, be one of those technologies where early movers will gain a massive advantage over their competitors. But how do you prepare yourself for this future today, while many aspects of quantum computing are still in development?
IBM’s quantum computer demonstrated at Disrupt SF 2018
Joining us onstage will be Microsoft’s Krysta Svore, who leads the company’s Quantum efforts; IBM’s Jay Gambetta, the principal theoretical scientist behind IBM’s quantum computing effort; and Jim Clark, the director of quantum hardware at Intel Labs.
That’s pretty much a Who’s Who of the current state of quantum computing, even though all of these companies are at different stages of their quantum journey. IBM already has working quantum computers, Intel has built a quantum processor and is investing heavily into the technology and Microsoft is trying a very different approach to the technology that may lead to a breakthrough in the long run but that is currently keeping it from having a working machine. In return, though, Microsoft has invested heavily into building the software tools for building quantum applications.
During the panel, we’ll discuss the current state of the industry, where quantum computing can already help enterprises today and what they can do to prepare for the future. The implications of this new technology also go well beyond faster computing (for some use cases); there are also the security issues that will arise once quantum computers become widely available and current encryption methodologies become easily breakable.
The early-bird ticket discount ends this Friday, August 9. Be sure to grab your tickets to get the max $100 savings before prices go up. If you’re a startup in the enterprise space, we still have some startup demo tables available! Each demo table comes with four tickets to the show and a high-visibility exhibit space to showcase your company to attendees — learn more here.
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