quantum computing
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Quantum computing is almost ready for prime time, and, according to most experts, now is the time to start learning how to best develop for this new and less than intuitive technology. With multiple vendors like D-Wave, Google, IBM, Microsoft and Rigetti offering commercial and open-source hardware solutions, simulators and other tools, there’s already a lot of fragmentation in this business. QC Ware, which is launching its Forge cloud platform into beta today, wants to become the go-to middleman for accessing the quantum computing hardware and simulators of these vendors.
Forge, which like the rest of QC Ware’s efforts is aimed at enterprise users, will give developers the ability to run their algorithms on a variety of hardware platforms and simulators. The company argues that developers won’t need to have any previous expertise in quantum computing, though having a bit of background surely isn’t going to hurt. From Forge’s user interface, developers will be able to run algorithms for binary optimization, chemistry simulation and machine learning.
“Practical quantum advantage will occur. Most experts agree that it’s a matter of ‘when’ not ‘if.’ The way to pull that horizon closer is by having the user community fully engaged in quantum computing application discovery. The objective of Forge is to allow those users to access the full range of quantum computing resources through a single platform,” said Matt Johnson, CEO, QC Ware. “To assist our customers in that exploration, we are spending all of our cycles working on ways to squeeze as much power as possible out of near-term quantum computers, and to bake those methods into Forge.”
Currently, QC Ware Forge offers access to hardware from D-Wave, as well as open-source simulators running on Google’s and IBM’s clouds, with plans to support a wider variety of platforms in the near future.
Initially, QC Ware also told me that it offered direct access to IBM’s hardware, but that’s not yet the case. “We currently have the integration complete and actively utilized by QC Ware developers and quantum experts,” QC Ware’s head of business development Yianni Gamvros told me. “However, we are still working with IBM to put an agreement in place in order for our end-users to directly access IBM hardware. We expect that to be available in our next major release. For users, this makes it easier for them to deal with the churn. We expect different hardware vendors will lead at different times and that will keep changing every six months. And for our quantum computing hardware vendors, they have a channel partner they can sell through.”
Users who sign up for the beta will receive 30 days of access to the platform and one minute of actual Quantum Computing Time to evaluate the platform.
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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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Usually when someone in tech says the word “quantum,” I put my hands on my ears and sing until they go away. But while IBM’s “quantum computing safe tape drive” nearly drove me to song, when I thought about it, it actually made a lot of sense.
First of all, it’s a bit of a misleading lede. The tape is not resistant to quantum computing at all. The problem isn’t that qubits are going to escape their cryogenic prisons and go interfere with tape drives in the basement of some data center or HQ. The problem is what these quantum computers may be able to accomplish when they’re finally put to use.
Without going too deep down the quantum rabbit hole, it’s generally acknowledged that quantum computers and classical computers (like the one you’re using) are good at different things — to the point where in some cases, a problem that might take incalculable time on a traditional supercomputer could be done in a flash on quantum. Don’t ask me how — I said we’re not going down the hole!
One of the things quantum is potentially very good at is certain types of cryptography: It’s theorized that quantum computers could absolutely smash through many currently used encryption techniques. In the worst-case scenario, that means that if someone got hold of a large cache of encrypted data that today would be useless without the key, a future adversary may be able to force the lock. Considering how many breaches there have been where the only reason your entire life wasn’t stolen was because it was encrypted, this is a serious threat.
IBM and others are thinking ahead. Quantum computing isn’t a threat right now, right?
It isn’t being seriously used by anyone, let alone hackers. But what if you buy a tape drive for long-term data storage today, and then a decade from now a hack hits and everything is exposed because it was using “industry standard” encryption?
To prevent that from happening, IBM is migrating its tape storage over to encryption algorithms that are resistant to state of the art quantum decryption techniques — specifically lattice cryptography (another rabbit hole — go ahead). Because these devices are meant to be used for decades if possible, during which time the entire computing landscape can change. It will be hard to predict exactly what quantum methods will emerge in the future, but at the very least you can try not to be among the low-hanging fruit favored by hackers.
The tape itself is just regular tape. In fact, the whole system is pretty much the same as you’d have bought a week ago. All the changes are in the firmware, meaning earlier drives can be retrofitted with this quantum-resistant tech.
Quantum computing may not be relevant to many applications today, but next year who knows? And in 10 years, it might be commonplace. So it behooves companies like IBM that plan to be part of the enterprise world for decades to come to plan for it today.
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For the longest time, even while scientists were working to make it a reality, quantum computing seemed like science fiction. It’s hard enough to make any sense out of quantum physics to begin with, let alone the practical applications of this less than intuitive theory. But we’ve now arrived at a point where companies like D-Wave, Rigetti, IBM and others actually produce real quantum computers.
They are still in their infancy and nowhere near as powerful as necessary to compute anything but very basic programs, simply because they can’t run long enough before the quantum states decohere, but virtually all experts say that these are solvable problems and that now is the time to prepare for the advent of quantum computing. Indeed, Gartner just launched a Quantum Volume metric, based on IBM’s research, that looks to help CIOs prepare for the impact of quantum computing.
To discuss the state of the industry and why now is the time to get ready, I sat down with IBM’s Jay Gambetta, who will also join us for a panel on Quantum Computing at our TC Sessions: Enterprise event in San Francisco on September 5, together with Microsoft’s Krysta Svore and Intel’s Jim Clark.
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As the technologies that were once considered science fiction become the purview of science, the venture capital firms that were once investing at the industry’s fringes are now finding themselves at the heart of the technology industry.
Investing in the commercialization of technologies like genetic engineering, quantum computing, digital avatars, augmented reality, new human-computer interfaces, machine learning, autonomous vehicles, robots, and space travel that were once considered “frontier” investments are now front-and-center priorities for many venture capital firms and the limited partners that back them.
Earlier this month, Lux Capital raised $1.1 billion across two funds that invest in just these kinds of companies. “[Limited partners] are now more interested in frontier tech than ever before,” said Bilal Zuberi, a partner with the firm.
Lux Capital just closed on a whopping $1 billion in capital, doubling the amount of money it manages
He sees a few factors encouraging limited partners (the investors who provide financing for venture capital funds) to invest in the firms that are financing companies developing technologies that were once considered outside of the mainstream.
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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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Ready to tackle the colossus that is enterprise software? Join us and more than 1,000 attendees for TC Sessions Enterprise 2019 on September 5 at the Yerba Buena Center for the Arts in San Francisco. We’re talking founders, technologists and investors digging deep into the challenges facing established and emerging enterprise companies today. Get your early-bird tickets now and save.
TechCrunch’s first ever event focused on Enterprise is a prime networking opportunity that will feature a crowd drawn to a day of intensive, on-stage interviews (led by TechCrunch editors) with the king pins of enterprise as well as breakout sessions, exhibiting startups, receptions and much more. Naturally, we have a fantastic networking app to help attendees wring the most opportunity out of the show.
CrunchMatch (powered by Brella), is TechCrunch’s free business match-making service. Effective networking is more than just meeting people. CrunchMatch helps you search for the right people based on specific mutual criteria, goals and interests. The platform’s combination of curation and automation lets you easily find, vet, schedule and connect with the people you want to meet — founders, investors, technologists, researchers or MBA students. You decide, and CrunchMatch delivers.
CrunchMatch is available to all attendees. When the platform launches, keep an eye out for an email with a sign-up link. Fill out your profile with the pertinent details — your role (technologist, founder, investor, etc.) and who you want to connect with at the event. CrunchMatch will make meet-up suggestions, which you can approve or decline.
Now that you’re up to speed on the networking situation, all you need to do is buy a ticket to TC Sessions: Enterprise. Early-bird passes cost $395, and you can save an extra 15 percent when you buy group tickets (four or more) for $335 each. Student passes sell for $245. Bonus: for every TC Sessions: Enterprise ticket you buy, we’ll register you for one free Expo Only pass to Disrupt San Francisco 2019. Holla!
There are a limited number of Startup Demo Packages available for $2,000, which includes four tickets to attend the event.
TC Sessions: Enterprise takes place on September 5 in San Francisco. Join your community of enterprise-minded founders, investors, CTOs, CIOs and engineers to talk machine learning, AI, intelligent marketing automation, the cloud, quantum computing, blockchain and so much more. Buy your early-bird tickets now.
Interested in sponsoring TC Sessions: Enterprise? Fill out this form and a member of our sales team will contact you.
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When it comes to a cloud success story, Snowflake checks all the boxes. It’s a SaaS product going after industry giants. It has raised bushels of cash and grown extremely rapidly — and the story is continuing to develop for the cloud data lake company.
In September, Snowflake’s co-founder and president of product Benoit Dageville will join us at our inaugural TechCrunch Sessions: Enterprise event on September 5 in San Francisco.
Dageville founded the company in 2012 with Marcin Zukowski and Thierry Cruanes with a mission to bring the database, a market that had been dominated for decades by Oracle, to the cloud. Later, the company began focusing on data lakes or data warehouses, massive collections of data, which had been previously stored on premises. The idea of moving these elements to the cloud was a pretty radical notion in 2012.
It began by supporting its products on AWS, and more recently expanded to include support for Microsoft Azure and Google Cloud.
The company started raising money shortly after its founding, modestly at first, then much, much faster in huge chunks. Investors included a Silicon Valley who’s who such as Sutter Hill, Redpoint, Altimeter, Iconiq Capital and Sequoia Capital .
Snowflake fund raising by round. Chart: Crunchbase
The most recent rounds came last year, starting with a massive $263 million investment in January. The company went back for more in October with an even larger $450 million round.
It brought on industry veteran Bob Muglia in 2014 to lead it through its initial growth spurt. Muglia left the company earlier this year and was replaced by former ServiceNow chairman and CEO Frank Slootman.
TC Sessions: Enterprise (September 5 at San Francisco’s Yerba Buena Center) will take on the big challenges and promise facing enterprise companies today. TechCrunch’s editors will bring to the stage founders and leaders from established and emerging companies to address rising questions, like the promised revolution from machine learning and AI, intelligent marketing automation and the inevitability of the cloud, as well as the outer reaches of technology, like quantum computing and blockchain.
Tickets are now available for purchase on our website at the early-bird rate of $395.
Student tickets are just $245 – grab them here.
We have a limited number of Startup Demo Packages available for $2,000, which includes four tickets to attend the event.
For each ticket purchased for TC Sessions: Enterprise, you will also be registered for a complimentary Expo Only pass to TechCrunch Disrupt SF on October 2-4.
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Quantum Machines, an Israeli startup launched by three Ph.D. physicists, wants to build the operational and control layer for quantum computing. Today, it announced a $5.5 million seed investment led by TLV Partners with participation from Battery Ventures.
The three principals have been studying quantum computing for a decade and they understand that to commercialize it, it’s going to require a complete solution. Right now the majority of the research is centered on increasing the number of qubits at the processor level. Co-founder and CEO Itamar Sivan says in order to advance the technology, it’s going to take an operational and control layer to make it all work, and that is where the founders decided to concentrate the company’s efforts, he said.
Sivan explained that there is a point where the classical computers we use today and the quantum computers of the future will have to work together to pass data and interpret commands. He described three layers in a quantum computing stack. The first is the quantum processor. Next is a classical computing control layer with classical electronics you would find on any computer today. Finally, there is the software layer where you program a classical algorithm that has to be passed to the quantum processor.
He says that some companies are trying to build full stacks, but the bulk of research as been concentrated on building quantum processors. Quantum Machines decided to focus on one part of the stack. “We have come to the conclusion that there must be a company laser-focused on a vertically integrated control solution that includes the classical hardware and software,” Sivan said.
“The power of quantum computers stems from their complexity and richness, though it is also this complexity which makes them incredibly difficult to control and operate — this is the problem our company is attempting to solve,” he added in a statement.
The company is currently working on prototype hardware to build this layer and is working with several beta customers at the moment. It’s early days for the company, but the seed money should help them accelerate that vision and get a product to market more quickly.
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Many entrepreneurs assume that an invention carries intrinsic value, but that assumption is a fallacy.
Here, the examples of the 19th and 20th century inventors Thomas Edison and Nikola Tesla are instructive. Even as aspiring entrepreneurs and inventors lionize Edison for his myriad inventions and business acumen, they conveniently fail to recognize Tesla, despite having far greater contributions to how we generate, move and harness power. Edison is the exception, with the legendary penniless Tesla as the norm.
Universities are the epicenter of pure innovation research. But the reality is that academic research is supported by tax dollars. The zero-sum game of attracting government funding is mastered by selling two concepts: Technical merit, and broader impact toward benefiting society as a whole. These concepts are usually at odds with building a company, which succeeds only by generating and maintaining competitive advantage through barriers to entry.
In rare cases, the transition from intellectual merit to barrier to entry is successful. In most cases, the technology, though cool, doesn’t give a fledgling company the competitive advantage it needs to exist among incumbents and inevitable copycats. Academics, having emphasized technical merit and broader impact to attract support for their research, often fail to solve for competitive advantage, thereby creating great technology in search of a business application.
Of course there are exceptions: Time and time again, whether it’s driven by hype or perceived existential threat, big incumbents will be quick to buy companies purely for technology. Cruise/GM (autonomous cars), DeepMind/Google (AI) and Nervana/Intel (AI chips). But as we move from 0-1 to 1-N in a given field, success is determined by winning talent over winning technology. Technology becomes less interesting; the onus is on the startup to build a real business.

If a startup chooses to take venture capital, it not only needs to build a real business, but one that will be valued in the billions. The question becomes how a startup can create a durable, attractive business, with a transient, short-lived technological advantage.
Most investors understand this stark reality. Unfortunately, while dabbling in technologies which appeared like magic to them during the cleantech boom, many investors were lured back into the innovation fallacy, believing that pure technological advancement would equal value creation. Many of them re-learned this lesson the hard way. As frontier technologies are attracting broader attention, I believe many are falling back into the innovation trap.
So what should aspiring frontier inventors solve for as they seek to invest capital to translate pure discovery to building billion-dollar companies? How can the technology be cast into an unfair advantage that will yield big margins and growth that underpin billion-dollar businesses?
Talent productivity: In this age of automation, human talent is scarce, and there is incredible value attributed to retaining and maximizing human creativity. Leading companies seek to gain an advantage by attracting the very best talent. If your technology can help you make more scarce talent more productive, or help your customers become more productive, then you are creating an unfair advantage internally, while establishing yourself as the de facto product for your customers.
Great companies such as Tesla and Google have built tools for their own scarce talent, and build products their customers, in their own ways, can’t do without. Microsoft mastered this with its Office products in the 1990s through innovation and acquisition, Autodesk with its creativity tools, and Amazon with its AWS Suite. Supercharging talent yields one of the most valuable sources of competitive advantage: switchover cost. When teams are empowered with tools they love, they will loathe the notion of migrating to shiny new objects, and stick to what helps them achieve their maximum potential.
Marketing and distribution efficiency: Companies are worth the markets they serve. They are valued for their audience and reach. Even if their products in of themselves don’t unlock the entire value of the market they serve, they will be valued for their potential to, at some point in the future, be able to sell to the customers that have been tee’d up with their brands. AOL leveraged cheap CD-ROMs and the postal system to get families online, and on email.
Dollar Shave Club leveraged social media and an otherwise abandoned demographic to lock down a sales channel that was ultimately valued at a billion dollars. The inventions in these examples were in how efficiently these companies built and accessed markets, which ultimately made them incredibly valuable.
Network effects: Its power has ultimately led to its abuse in startup fundraising pitches. LinkedIn, Facebook, Twitter and Instagram generate their network effects through internet and Mobile. Most marketplace companies need to undergo the arduous, expensive process of attracting vendors and customers. Uber identified macro trends (e.g. urban living) and leveraged technology (GPS in cheap smartphones) to yield massive growth in building up supply (drivers) and demand (riders).
Our portfolio company Zoox will benefit from every car benefiting from edge cases every vehicle encounters: akin to the driving population immediately learning from special situations any individual driver encounters. Startups should think about how their inventions can enable network effects where none existed, so that they are able to achieve massive scale and barriers by the time competitors inevitably get access to the same technology.
Offering an end-to-end solution: There isn’t intrinsic value in a piece of technology; it’s offering a complete solution that delivers on an unmet need deep-pocketed customers are begging for. Does your invention, when coupled to a few other products, yield a solution that’s worth far more than the sum of its parts? For example, are you selling a chip, along with design environments, sample neural network frameworks and data sets, that will empower your customers to deliver magical products? Or, in contrast, does it make more sense to offer standard chips, licensing software or tag data?
If the answer is to offer components of the solution, then prepare to enter a commodity, margin-eroding, race-to-the-bottom business. The former, “vertical” approach is characteristic of more nascent technologies, such as operating robots-taxis, quantum computing and launching small payloads into space. As the technology matures and becomes more modular, vendors can sell standard components into standard supply chains, but face the pressure of commoditization.

A simple example is personal computers, where Intel and Microsoft attracted outsized margins while other vendors of disk drives, motherboards, printers and memory faced crushing downward pricing pressure. As technology matures, the earlier vertical players must differentiate with their brands, reach to customers and differentiated product, while leveraging what’s likely going to be an endless number of vendors providing technology into their supply chains.
A magical new technology does not go far beyond the resumes of the founding team.
What gets me excited is how the team will leverage the innovation, and attract more amazing people to establish a dominant position in a market that doesn’t yet exist. Is this team and technology the kernel of a virtuous cycle that will punch above its weight to attract more money, more talent and be recognized for more than it’s product?
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