Quantum computing takes on automotive design and manufacturing – Embedded

A collaboration looks to analyze the applicability of quantum computational algorithms to metal forming applications modeling.

Car manufacturer BMW and quantum computing technology developer Pasqal have entered a new phase of collaboration to analyze the applicability of quantum computational algorithms to metal forming applications modeling.

The automotive industry is one of the most demanding industrial environments, and quantum computing could solve some of the key design and manufacturing issues. According to a report by McKinsey, automotive will be one of the primary value pools for quantum computing, with a high impact noticeable by about 2025. The consulting firm also expects a significant economic impact of related technologies for the automotive industry, estimated at $2 billion to $3 billion, by 2030.

Volkswagen Group led the way with the launch of a dedicated quantum computing research team back in 2016.

BMW has been working with Pasqal since 2019 to develop quantum enhanced methods for chemistry and materials-science in the field of battery R&D, Benno Broer, CCO at Pasqal, told EE Times Europe .

The current collaboration, however, follows the BMW Group Quantum Computing Challenge in late 2021. The contest focused on four specific challenges where quantum computing could offer an advantage over classical computational methods, and Qu&Co was the winner in the category Simulation of material deformation in the production process. Qu&Co and Pasqal later merged their businesses, combining Qu&Cos robust portfolio of algorithms with Pasqals full-stack neutral-atom system to accelerate the quantum path to commercial applications. The united business is known as Pasqal and located in Paris.

The reason we were chosen is because our proprietary method to solve complex differential equations is currently the only realistic method to solve such problems on near-term quantum processors, said Broer. The material deformation problems we will now work on with BMW Group are governed by such differential equations.

Pascal said its team of researchers has developed a digital-analog implementation of its quantum methods, tailored for its neutral-atom quantum processors, which makes these applications 30 times more efficient than on competing superconducting quantum processors.

When asked to provide more details on this digital-analog approach, Broer explained, Our approach requires us to create a significant amount of quantum entanglement between our qubits. Intuitively: the more entanglement we create the more powerful (more accurate) our method becomes. In a fully digital implementation, we create this entanglement by applying 2-qubit gate operations (which entangle 2 qubits). In the digital-analog version of the algorithm, we replace this entangling operation by an analog operation, which is a multi-qubit operation. The replacement of the 2-qubit gates by this analog multi-qubit operation makes the method much more efficient, and at the same time more noise robust.

The result is that we can generate much more entanglement in the time we have before the quantum processor becomes decoherent (it loses its quantumness due to the inherent noise in all current day quantum processors). And again: More entanglement means a more powerful solver.

Pasqals digital-analog approach is described in more detail in the blogpost, Neutral Atom Quantum Computing for Physics-Informed Machine Learning .

The simulations will run in Pasqals facilities over a six-month period.

As to when the first car models optimized with Pasqals simulations will hit the roads, Broer said it is too early to tell. What we can say is that Pasqal expects to be able to showcase the first industry relevant quantum advantage with our differential equation solvers in 2024. We cannot yet guarantee that those first quantum advantage showcases will be for the application of materials deformation.

Real-world applications of these simulations include crash testing and accelerated development of new, lighter, stronger parts and materials that ensure passenger safety while reducing emissions and development costs, the company said.

The reduction in development costs that Pasqals simulations may allow BMW to achieve cannot be quantified at this point of time, said Broer. In general, we see a trend towards replacing costly and time-consuming build-and-test cycles in automotive R&D with digital research (creating digital twins of the car or car parts). The financial benefit related to this should be quantified in both the cost saved for the physical build-and-test process, the cost of the material saved (using less metal while maintaining the same structural strength), and perhaps most importantly the significantly improved time-to-market of a new generation of cars.

He added, Our quantum methods provide the required extra computational power to enable accurate digital twin type simulations of larger and more complex parts of a car or perhaps someday a full car.

Pasqals quantum computational simulation, now applied to cars, could be used for other sectors. For each new class of differential equation problems, Broer said Pasqal has to parameterize its quantum algorithms to be able to solve that specific class. Once we can solve the problem of material deformation, we can use these solvers to also tackle problems outside of this field where the differential equations have a similar structure.

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Quantum computing takes on automotive design and manufacturing - Embedded

Seun Omonije took the gridiron-to-quantum-computing route – Yale News

Growing up as a scholar-athlete in Texas, Seun Omonije already knew plenty of football moves before he arrived in New Haven nearly four years ago.

But Yale taught the 22-year-old graduating senior from Silliman College a new move the quantum pivot.

In 2020, after the Ivy League canceled the football season due to public health concerns over COVID-19, Omonije, a wide receiver, was able to shift more of his attention to his computer science major. That decision, he says, led him to new friendships, new research opportunities, and a clear path to a career in quantum computing.

I made a pivot, Omonije says. I still trained my hardest, physically, but I kept doing more coding, kept learning new quantum concepts. I found ways to apply myself to other things.

Omonije is a founding board member of the Yale Undergraduate Quantum Computing (YuQC) group whose 2021 Quantum Coalition Hack with Stanford attracted 2,100 entrants from 80 countries and he served as a teaching assistant for a software engineering course on campus.

He has completed a pair of software engineering internships at Google, one working remotely with Google Cloud in Los Angeles and the other with Google Quantum AI in the San Francisco Bay area. Omonije helped build the first tool for 3D visualizations of quantum circuits among other models in quantum theory using Python and Typescript. After graduation, hell be moving to Los Angeles and taking a full-time job at Google Quantum AI.

He credits Yale for his quantum cred.

The faculty and coursework exposed me to so many areas of fundamental quantum theory and computation, and ways I can apply those concepts, Omonije says. I was actually doing research on quantum control systems and quantum software. Yale showed me what was possible in quantum computing.

Now that hes nearly finished his senior year a year in which injuries kept him off the playing field during games Omonije has begun to reflect on his Yale experience. He said he is grateful for the friendships hes made among his football teammates, his close-knit community at Silliman, and his fellow students at YuQC. Likewise, hes glad to have had the chance to sample so much that Yale had to offer, including fine arts and performing arts.

When I came to Yale, I didnt know what I wanted to do or who I wanted to be, he says. Im proud of the personal growth I experienced, that through all of the stuff that didnt go the way I planned, I still accomplished so many things.

All things considered, this is just the beginning of my journey, and Im looking forward to putting my head down and getting to work on this next chapter of life.

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Seun Omonije took the gridiron-to-quantum-computing route - Yale News

Quantum Computing Market Innovative Strategy by 2030 | Toshiba Corporation, Nippon Telegraph And Telephone Corporation (NTT), Quantum Circuits Inc …

Los Angeles, United States, North America including Q1-2022analysisThe report named,Global Quantum Computing Markethas been added to the archive of market research studies by JCMR. The industry experts and researchers have offered reliable and precise analysis of theQuantum Computingin view of numerous aspects such as growth factors, challenges, limitations, developments, trends, and growth opportunities. This Quantum Computing report will surely act as a handy instrument for the market participants to develop effective strategies with an aim to reinforce their market positions. This Quantum Computing report offers pin-point analysis of the changing dynamics and emerging trends in the Global Quantum Computing Market.

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Quantum Computing Market Innovative Strategy by 2030 | Toshiba Corporation, Nippon Telegraph And Telephone Corporation (NTT), Quantum Circuits Inc ...

COMPUTEX 2022 Returns to In-Person With Virtual and Physical Exhibition – HPCwire

TAIPEI,May 24, 2022 Today marked the opening of COMPUTEX 2022, held until May 27at Taipei Nangang Exhibition Center, Hall 1. Among the distinguished guests in attendance at the opening ceremony to witness the rapid development of new digital technology were PresidentTsai Ing-Wen, Minister of Economic AffairsWang Mei-Hua, Chairman of Taiwan External Trade Development Council (TAITRA)James Huang, and Chairman of Taipei Computer Association Paul Peng.

PresidentTsai Ing-wen stated, COMPUTEX is an important platform for the global technology industry, which not only enables Taiwanese companies to strengthen their international collaboration and connect to the global market, but also shows the capabilities of TaiwansICT industry to the world. In the future, the development of advanced technologies such as AI, quantum computers, and cloud computing will be highly dependent on chips. Therefore,Taiwanwill leverage its strengths in high-end hardware manufacturing and empowering ICT innovations in various industries to make the overall economy more competitive. Also, we will actively work together with enterprises to accelerate the digital transformation process and to build the next golden decade ofTaiwanstechnology industry.

Over the past twenty years, technology, our shared global language, has empowered the world and resulted in important milestones. Even when facing urgent challenges such as the pandemic and supply chain disruptions, technology has allowed infinite possibilities, said TAITRA ChairmanJames Huang. COMPUTEXs mission has always been to introduce technologies to the world and help make a difference, and this years event offers an upgraded, hybrid exhibition experience. We look forward to stimulating technological innovation and heading into the future with global technology companies.

The leading global ICT companies showcase their innovative technologies and solutions at COMPUTEX. GIGABYTE showcased high-performance computing applications, including AI, 5G, edge computing, intelligent traffic management, security, and gaming and entertainment. Delta Electronics chose to focus on sustainability and presented energy and thermal management solutions for applications such as industrial automation, data center infrastructure, and EV charging. KIOXIA displayed its XG8 series of client SSDs for high-end notebooks, desktops, and workstations. Furthermore, Garage+ Pavilion selected 48 startups to showcase innovative capabilities in numerous fields, including AI, IoT, health care, and green technology.

COMPUTEX 2022 Provides an Overview of the Global Technology Ecosystems

COMPUTEX 2022 features six main themes: Accelerating Intelligence, Connected X-Experience, Digital Resilience, Innovative Computing, Innovations & Startups, and Sustainability. In addition, a virtual exhibition, COMPUTEX DigitalGO, is held from today toJune 6. By making use of diverse channels, COMPUTEX 2022 has created an interactive platform for global engagement and provided a comprehensive overview of the future developments in the global technology ecosystems.

In addition to the comprehensive exhibition, COMPUTEX also offers keynote speeches and forums. This years CEO Keynotes, Advanced Micro Devices, Inc. (AMD), NXP Semiconductors (NXP), Micron Technology, and Supermicro will share their corporate visions from a technology perspective. Microsoft and NVIDIA will also give keynote speeches, streaming live onCOMPUTEXs Youtube channel.

The COMPUTEX Forum will be held onMay 26at Taipei Nangang Exhibition Center, Hall 1, Section J. In the morning, in the first session titled Technology Empowerment, Texas Instruments, Ericsson, NXP, NVIDIA, and Micron Technology will discuss how global technology giants find partners, achieve new advancements, and embrace change.

In the afternoon, in the second session, Delta Electronics will talk on Unceasing Innovation for a Net Zero Future and demystify how businesses are leveraging digital technology to achieve sustainability and reach the 2050 net-zero carbon emissions target. Finally, in the third and final session themed Application Advancements, HTC, IBM, Dassault System, and Nokia Taiwan will discuss the metaverse and how businesses can actively deploy smart living and successfully create new work modes.

Furthermore, Live Studio, a new addition to this years event, will serve as the official news channel for COMPUTEX 2022 and provide participants with the most up-to-date and complete event coverage throughout the show. The Guided Tours are another highlight of the event. Industry KOLs will personally lead the tours, take fans around the booths, and put a brand new spin on technology discovery. In addition, media outlets, including Embedded Computing Design from the US, Dempa Publications fromJapan, and IT Chosun fromSouth Korea, will cover COMPUTEX, showingTaiwansscientific and technological achievements and potential to the world.

This year, COMPUTEX 2022 is being held at Taipei Nangang Exhibition Center, Hall 1. In addition to technology trend sharing, industry application demonstrations, and the fun and interactive live studio and guided tours, there are photo booths for each of the six themes. Participants who take photos in each booth and upload the photos will be entered to win the event organizers limited edition COMPUTEX 2022 NFT. With so many exciting activities to enjoy, COMPUTEX 2022 is an event not to be missed.

To learn more aboutCOMPUTEX, please visit: https://www.computextaipei.com.tw.

About COMPUTEX

COMPUTEX was founded in 1981. It has grown with the global ICT industry and become stronger over the last four decades. Bearing witness to historical moments in the development of and changes in the industry, COMPUTEX attracts more than 40,000 buyers to visitTaiwanevery year. It is also the preferred platform chosen by top international companies for launching epoch-making products.

Taiwanhas a comprehensive global ICT industry chain. Gaining a foothold inTaiwan, COMPUTEX is jointly held by the Taiwan External Trade Development Council and Taipei Computer Association, aiming to build a global tech ecosystem. COMPUTEX uses cross-domain integration and innovation services as the most powerful driving forces for achieving the goal of becoming a new platform for global technological resources.

About TAITRA

The Taiwan External Trade Development Council (TAITRA) isTaiwansforemost trade promotion organization. TAITRA is a public-benefit corporation founded by the Ministry of Economic Affairs by uniting industry and commerce groups from the private sector with the purpose of helping them expand their global reach. Currently, TAITRA has a team of more than 1,300 trade professionals, both domestically and abroad. Headquartered inTaipei, TAITRA operates 5 local offices in Taoyuan, Hsinchu, Taichung, Tainan, and Kaohsiung, as well as 63 branches worldwide. It has also signed cooperation agreements with 319 sister organizations that promote international trade. By forming a comprehensive trade services network that provides zero-time-difference and borderless real-time services, TAITRA continues to work with enterprises to jointly pursue the steady development ofTaiwanseconomy. It is the best partner for your success in business expansion.

Source: COMPUTEX

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COMPUTEX 2022 Returns to In-Person With Virtual and Physical Exhibition - HPCwire

Learn Quantum Computing with Python and Q# – iProgrammer

Author: Dr. Sarah Kaiser and Dr. Chris GranadePublisher: ManningDate: June 2021Pages: 384ISBN: 978-1617296130Print:1617296139Kindle:B098BNK1T9Audience: Developers interested in quantum computingRating: 4.5Reviewer: Mike JamesQuantum - it's the future...

...or not, depending on your view of the idea. The idea is fairly simple even if the implementation turns out to be next to impossible. Quantum Mechanics is a strange theory, but it is one that seems to work, and the idea of using its insights to compute things is fairly reasonable. After all, QM is the way the world works things out as it creates reality. This book is an attempt to convey the ideas of quantum computing to the average programmer with minimal math. I say minimal because getting the idea isn't really possible without math and implementing the ideas involves math, so you can't avoid it.

I started off with the idea that this task, quantum computing with minimal math wasn't doable and at the end of reading the book I'm even more convinced that it isn't the way to go. Quantum computing is, as already suggested, heavy on math. If you can't handle the math then you are going to have a tough time understanding what is going on. More to the point, ideas that I have in my head that are summarized by math occupy pages of the book that avoids that math. Far from being more complex, the math makes it simpler and provides shortcuts to thinking that makes thinking about it actually possible.

I have to say that my BSc degree was heavy on QM and more recently I did an advanced course on quantum computing, so I was expecting this book to be a quick read and a refresher. Far from it. I had to read, and re-read several times, descriptions of things that I thought I knew in an effort to make the connection between the long descriptions and the simple math in my head. I'm sure that this is going to be the experience of many readers who lack the math in the head and are trying to see the general principles in the very wordy explanations. This is not the book's fault. If there could be a book that did the job this would be it - well written with a dash of humour, interest and passion - but I don't think it works.

The first section is called Getting Started and this is a very slow and gentle intro to the basics of what quantum computing is all about - qubits, states, randomness and so on. The examples are quantum encryption, key distribution, non-local games and teleportation. They all sound exciting, but the reality is fairly simple once you get the idea. All of the programs in this section are in Python.

Part 2 is about algorithms and it is expressed in Q#. On balance I think that the entire book would be better just using Q#, but it's a matter of opinion. A whole chapter is devoted to the Deutsch-Jozsa algorithm which, if you understand QM, is one of the easiest of the quantum algorithms to understand. It is also the simplest such algorithm that shows an advantage over a classical algorithm. It took me a short time to understand using the math when I first encountered it, but here it took me some hours to dig thought the non-math explanation and at the end I still don't think that you get the idea that its all based on parity. Classically parity is difficult to measure, but in QM its a natural measurement.

Part 3 is called Applied Quantum Computing and I was looking forward to this because the only really deep quantum algorithms I learned back in the day were Grover's and Shor's. I was hoping to broaden my horizons. The first chapter covers quantum annealing and this was interesting because it's not a mainstream area of quantum computing but one that has many practical applications. The only problem is quantum annealing is really too close to quantum analog computing for my tastes. It is basically a universal quantum simulator that can solve many ground state problems - invaluable but not inspiring. After this I encountered two more algorithms - Grover's and Shor's. Well, yes, any book on quantum computing has to cover them, but there is nothing else. Are we really expending huge efforts on building quantum computers just to implement two algorithms? My guess is that the answer is no - we are expending huge effort to run just Shor's algorithm so that we can crack codes. This book does little to convince me that quantum computers have much more to offer, but I hope I'm wrong.

My final verdict is that this is about as good a non-math-oriented introduction to quantum computing gets. Be warned, there are equations and mathematics that keep peeking through at every turn. You cannot avoid it, but you don't need much math to cope. What I would conclude, however, is that it is much easier to learn the math first and then learn the QM that is needed for quantum computing. In my opinion the math makes it easier.

To keep up with our coverage of books for programmers, follow@bookwatchiprogon Twitteror subscribe to IProgrammer'sBooksRSSfeedfor each day's new addition to Book Watch and for new reviews.

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Turning A Million-Qubit Quantum Computing Dream Into Reality – The Next Platform

James Clarke believes quantum computing wont become practical until the industry is making chips crammed with upwards of a million error-corrected quantum bits.

The goal of making a quantum system with that many qubits isnt unique to any one company IBM, Google and startups like PsiQuantum have all stated plans to build such grandiose machines but Clarke, director of quantum hardware at Intel, thinks the semiconductor giant has a unique advantage in making this reality possible with its manufacturing-driven development approach.

In a peer-reviewed research paper published earlier this year, Intel says it successfully fabricated more than 10,000 arrays, each with three to 55 quantum dots, on a 300-millimeter wafer with a yield higher than 95 percent. This milestone, which the chipmaker achieved in partnership with Dutch research institute QuTech, represented a significantly higher yield and a higher number of qubits than what universities and laboratories, including those used by other companies, have achieved to date.

Clarke says attaining such a feat was non-trivial, made possible in large part by the fact that Intel, unlike most other companies pursuing quantum, runs its own fabs, which the company also used to manufacture the control logic needed that allows such a high density of qubits.

What weve done is weve taken the university-like approach for fabricating qubits, and we have used the tools in our toolbox from our advanced transistor fab to make these devices with very high uniformity, very high yield and good performance, Clarke tells The Next Platform.

When Intel started its quantum efforts in 2015 with QuTech, which is associated with the Delft University of Technology in the Netherlands, the two organizations explored multiple ways of making qubits. One promising avenue was the superconductor qubit, which allowed the company to produce a 17-qubit superconductor test chip in 2017.

But Clarke says eventually Intel and QuTech found greater capabilities with spin qubits, which involves encoding the zero or one of the qubit into the spin of a single electron. Each of these electrons are essentially trapped in the channel of what looks like a transistor, which is why the chipmaker has been able to use its transistor fabs to make these types of quantum chips.

The decision to forgo the superconductor qubit route, which other organizations are taking, has apparently paid off, according to Clarke, as Intels spin qubits are roughly a million times smaller.

So while were not there today, over the future, we feel that we will be able to scale a lot faster, get to have a much higher density of qubits in our devices, he says.

The ability to pack 10,000 arrays of spin qubits into a single wafer comes with an exciting implication for Clarke, even though its currently theoretical.

If we were to produce several of these wafers or I should say, when we do, when we do this regularly if we tested them all, we will have created more qubits across those wafers than any company has ever created in the lifetime of their experiments. That would be my assumption, he says. Universities are making these, and their research labs, theyre producing a couple at a time. Even in the superconducting space, I think the count would be a lot smaller.

The other benefit Intel gets from manufacturing its own quantum chips is that, like other chips it develops, it can run statistical analyses to make further improvements.

We can feed that information back to our fab to make better devices. We can then cherry-pick the best devices at that stage and feed it forward for further testing. So by having a wafer full of devices, we really get a massive amount of data, which actually allows us to go much faster, Clarke says.

Even if this allows Intel to go faster, Clarke believes the industry is still roughly a decade away from having a quantum computer that can be used for practical purposes, in areas like cryptography, optimization, chemistry, materials and finance. That may seem like a long time, but when put into perspective with other technologies Intel has developed, the timeline doesnt seem out of place.

If you look at the timeline between the first transistor to the first integrated circuit to the first microprocessor, those timelines tend to happen on a 10 to 15 year time frame. And so in every big advancement that Intel has delivered high-k metal gate, tri-gate these all happened on a decadal type timeline. Thats not to say that people cant develop faster, but these are hard things to do. Quantum is harder than making a transistor. So why would we expect that to happen quicker than a typical technology development cycle? he says.

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Turning A Million-Qubit Quantum Computing Dream Into Reality - The Next Platform

Weathering the First Quantum Short – Quantum Computing Report

How much easier it is to be critical than to be correct.Benjamin Disraeli 19th Century Prime Minister of the UK

by David Shaw, Doug Finke, and Andr M. Knig

Scorpion Capital is an activist investor specializing in taking short positions in publicly traded stocks (and therefore stand to gain if the stock price moves down). They recently took such a position in IonQ, a leading trapped ion quantum computing hardware company. IonQ listed on the NYSE in October 2021 in a SPAC assisted floatation. SPACs themselves have been controversial in some circles, where they are viewed as a way to avoid the usual scrutiny of a traditional IPO process.

Scorpion issued a scathing short report aimed to move market sentiment against IonQ [1]. Its important to recall that this style of research does not aim to present a balanced picture or even a structured analysis. Its a scatter gun of bad things that might hurt the stock price. Some of these such as allegations of revenue irregularities are a matter specifically for the company, which has responded with its own press release [2].

However, some of the accusations could mislead debate around the wider quantum industry, and confuse investors more generally. We want to discuss those points here.

Academics have been talking about quantum computing for over forty years [3]. Richard Feynman first speculated about the idea in 1981 [4] and it was formalised by David Deutsch in 1985 [5]. Many would date progress on hardware to Alain Aspects famous experiments in 1982 [6]. Fidelities in the lab slowly improved, notably in the period 2008-2017 [7][10]. Activity has really intensified in the last three years with multiple demonstrations of beyond classical calculations [11][13] (albeit on artificial problems), and tentative logical qubit demonstrations [14][16]. Multiple commercial players have defined roadmaps to build large scale machines [17].

For a recent review of progress see Quantum Outlook 2022.

Just Toys? Up to about 50-60Q we can mostly simulate these quantum devices on conventional computers. In that sense everything less is a toy and the field often learns by working on toy problems. However, this is deadly serious R&D. The IonQ 11Q device deservedly debuted in Nature in 2019 [18]. In has continued to perform well in independent benchmarks [19]. But are any of the current generation of devices powerful enough for commercial computing applications? No. Scaling up is definitely required.

1+1=2? Such calculations are not a target use case for quantum computers (we dont try to do math using wind tunnels). Even so, to a casual observer this might seem like this should be easy for any computing device. It turns out that this isnt necessarily so when working with low-depth NISQ circuits and todays gate sets [20]. Todays hybrid algorithms aim to leave as much work as possible on classical hardware.

Even with envisaged intermediate scale quantum machines, early commercial applications are unproven. Many academics are sceptical (as we pay them to be), pointing to the difficulties facing known NISQ approaches. Some entrepreneurs are battening down for the long term. Others point to the tradition of constructive criticism driving innovation, and of commercial programs making jumps that defied traditional labs. Recent progress in AI is arguably a good example of the latter [21].

A publicly quoted company, with the need to publish results quarter to quarter is a challenging environment in which to manage such an evolving narrative. Only the largest companies can traditionally combine such emerging activities with a public listing.

There are hold-out quantum skeptics, and no one has a roadmap where the physics is completely de-risked (though some are closer than others). However, for the long-term, mushrooming government support around the world reflects the clear majority expert opinion this revolution is going to happen [22][24]. The only question is when.

Trapped ion technology is a technology quite alien to those used to the digital world.

Is it really a 32Q device? This may sound like a fairly straightforward question. But the nature of trapped ion technology blurs the answer. The qubits are individual ions, and you can load a variable number of ions into a typical trap. Some qubits may play an active role in the calculation, others supporting roles. A key question is how many qubits are available for use in the target algorithm? IonQs next generation device does seem to have successfully operated with up to about 21Q in 2021 when it did well in independent benchmark tests [19] (though it clearly wasnt performing at the aggressive targets IonQ had set of 32Q and 4M QV).

Trapped ion quantum computers confound our expectations in many ways. They are set to have very slow gate speeds compared to conventional computers. The point is that quantum computers enable us to use algorithms that complete in exponentially fewer processing steps. Raw trapped ion gate speeds are also set to be slow compared even to other proposed quantum platforms. Here a true comparison is much more subtle. What really matters is which platform can achieve the desired combination of scale, fidelity and speed, and how along the way it keeps down the overheads associated with error correction [25].

Outsourced fabrication Its not necessarily an issue if a trapped ion player outsources the fabrication of the trap and vacuum systems. A basic trap is now a relatively standard component. The really challenging part of the setup for a machine like this is the laser system and the control logic. None of todays commercial players have yet fully recreated the sector-leading 2Q gate fidelities achieved with hero devices in the lab. Trap design and fabrication is set to become more of a focus as players innovate to meet other scaling challenges: miniaturisation and modularisation.

Miniaturization A key challenge for conventional trapped ion setups is gate control. Established approaches use lasers to drive gates. This makes miniaturisation a real challenge. AQT already have a rack-based trapped ion system, but they use optical trapped ion qubits [26]. These require a less demanding setup. Other trapped ion players are typically using hyperfine trapped ion qubits, which in principle offer longer lifetimes and so access to higher fidelities. But working with the special laser setups required looks harder. True large-scale trapped ion systems probably require integrated photonic solutions (if you stick with lasers some are working on ways to control ion traps with microwaves instead [10], [27]). Such systems are at an early stage as conventional photonic platforms dont work well at the required wavelengths [28]. Innovative solutions are emerging.

Modularization The other key scaling challenge is how to interconnect modules. Here trapped ion proponents often point to photonic interconnects. This is more of a challenge than sometimes portrayed. The currently best demonstrated fidelities and speeds dont look good enough [29]. Again, innovative solutions are emerging.

Working with trapped ion based approaches certainly are a bet that some better quantum technology isnt able to get over the line first. IonQ has to innovate to meet the scaling challenge. A positive from the SPAC is that it has an impressive $500M pile of cash to help it drive this process. And they do have ideas. The real question is how quickly can any player move to solve multiple challenges at once: fidelity, miniaturisation and modularity?

You have to be very careful with roadmap promises. Analysts on public equities wont be impressed when they change or are missed. Many R&D phase companies choose to stay private. Some choose to stay in stealth.

These arent old-time software startups where everyone can eat pizza and get things delivered by pulling an all-nighter. These are long term endeavours that have to combine skills from physicists, engineers and computer scientists just to make things work. In the real-world, marketing flair and commercial skills are set to be an equally important part of the mix. Combining such impenetrable disciplines amidst great uncertainty; mixing founding and new senior talent; retaining everyone around a realistic common company narrative (and realistic pay expectations) are going to be challenges many in the sector will face.

The pressures and dynamic of a SPAC process probably doesnt help keep everyone on board. Senior hires bouncing in and out never looks good.

Academic founders face particular challenges In many areas investors traditionally look for founders to fully commit to the new business. However, in the quantum space there are other considerations. Many anticipate that the talent pipeline will be a key issue. Keeping connections with a home institute helps shore-up a natural recruitment pool. It also gives insight into governmental programs of support for the local quantum sectors. An additional pressure is going to be managing to get the best out of academic and corporate lab teams. Each should have contrasting strengths, but also likely different cultures.

(In preparing this piece, a striking feature has been former academic colleagues, but now commercial competitors of IonQ founders Chris Monroe and Jungsang Kim jumping to their defense as physicists. Disagreements naturally continue on whose hardware plans are best.)

Existing and potential investors in quantum technology already face many distractions: an unsettled global economic environment; interest rates across developed economies are on an upward trajectory; inflation stalks the land. But where are investors to invest? Investing in innovative ventures is a vital opportunity to bring uncorrelated exposure into a portfolio.

First, we should point out that all companies have problems. Sometimes it is an engineering program that has slipped its schedule, sometimes it is disagreements within management, sometimes it is unhappy customers, and many other things. A person can certainly look at a company and write a report that only discusses these issues. But a report that only focusses on the bad things, but does not mention any of the good things happening at a company does not give an accurate picture. It also would be incorrect to assume that any problem a company currently faces will be permanent. But again, pointing out that a problem might be temporary wont be mentioned if your sole purpose is to write a report that drives down the price of the stock so you can make a profit.

We scorn the use of hype to create an unrealistic positive picture of how quickly quantum can add value. We equally scorn the use of scatter gun defamation (anti-hype) to paint an equally unrealistic negative picture. Neither benefits the industry or society in general. Both are traps for investors.

Quantum computing is at the very early stages of development and the ultimate proof of whether a company is good or not will be determined by whether a company can deliver on its roadmap and be competitive.

At this stage no one can say for sure which of the companies working in quantum can achieve this. The best that can be done is to bring in a well-qualified team that understands the technology, the market value chain, and real-world company cultures to perform careful due diligence. We dont think a hedge fund that doesnt have people knowledgeable about the technology, and has a motivation to be biased, fits this description.

Many think that SPAC mania in the financial markets is anyway coming to an end (and such vehicles will likely be more thoroughly regulated) [30]. But businesses should think not just about the route to flotation, SPAC or IPO, but also what milestones they need to hit to be ready for life on the public market. Venture investors will expect a plan that allows the business to move on at some point.

Quantum computing is engaged in a long marathon that will take many years to play out. The quantum technology sector overall presents an even wider landscape of opportunities. Business adopters should avoid immediate judgements, but engage with companies that can execute and bring to market competitive products that provide commercial value. Governments should encourage the creative destruction of the innovative process. Investors should weigh the best advice they can find, and make their choices. And IonQ needs to demonstrate that Scorpion Capitals criticismwas indeed nothing but aggressivefinancial posturing.

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May 7, 2022

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Weathering the First Quantum Short - Quantum Computing Report

Aliro Quantum Selected as a 2022 Technology Pioneer by the World Economic Forum – HPCwire

BOSTON, May 10, 2022 Aliro Quantum, the first pureplay quantum networking company, today announced that it has been named a2022 Technology Pioneerby theWorld Economic Forum. Aliro Quantum is co-founded by Professor Prineha Narang and spun out of herNarangLabat Harvard University. The company was selected as a 2022 Technology Pioneer for enabling quantum networks for quantum secure communications, clustered quantum computing, quantum sensing, and ultimately the quantum Internet.

Just as todays Internet led to a revolution in computing and society more broadly, the quantum Internet is expected to have a profound impact on how we live our lives.Aliro is the first pure-play quantum networking company in the US, building and scaling quantum networks, towards the future quantum Internet.

Powerful quantum systems such as those we are pioneering at Aliro will enable breakthroughs in energy, medicine, materials science and other novel applications we have yet to imagine, said Jim Ricotta, CEO and Chairman of Aliro Quantum. Recognition by the World Economic Forum is significant validation of the teams hard work developing the foundational technologies needed for quantum networks and the quantum Internet, and we look forward to contributing to the World Economic Forums work in this area. Our VC investors have identified quantum networks as a massive and disruptive opportunity, and we are already engaged with a number of major commercial and government organizations to build their next generation networks

Recognized as a leading Young Scientist by the World Economic Forum for her work in quantum science and tech in 2018, Narang, Co-founder and Chief Technology Officer for Aliro, added: When we founded Aliro in 2019, our mission was to make quantum technology accessible, a mission that drives us as we build out the Aliro quantum networking stack to unlock the power of quantum networks and the quantum Internet. Today Aliro is leading the charge in entanglement-based quantum networks, enabling quantum secure communications, clustered quantum computing and quantum sensing. Our work stands to realize the promise of quantum tech at scale!

Professor Narang will be discussing the roadmap to scalable quantum systems and the key role of quantum networks as a featured speaker at the upcomingCommercialising Quantumconference hosted byTheEconomist May 17 19. The event will focus on the near-term scope of quantum advantage, a theme that is underscored by Aliros selection as a 2022 Technology Pioneer.

The World Economic Forums Technology Pioneers program recognizes early to growth-stage companies from around the world that are involved in the use of new technologies and innovation that are poised to have a significant impact on business and society. Technology Pioneers have been selected based on the communitys selection criteria, which include innovation, impact and leadership as well as the companys relevance with the World Economic Forums Platforms. Information about this years Technology Pioneers can be found here:http://wef.ch/techpioneers22.

Were excited to welcome Aliro Quantum to our 2022 cohort of Technology Pioneers, said Saemoon Yoon, Community Lead, Technology Pioneers, World Economic Forum. Aliro and its fellow pioneers are at the forefront of industries that are critical to solving some of our worlds most complex issues today. We look forward to their contribution to the World Economic Forum in its commitment to improving the state of the world.

About Aliro

Aliro Quantum is a quantum computing and networking company that spun out ofNarangLabat Harvard University. Aliro is leading the charge on quantum network development by offering the foundational technologies needed for organizations around the world to build scalable and powerful distributed quantum systems. Aliro has put together a team of world-class experts in quantum and classical networking.

Aliro is working with industry and academic partners through the Quantum Economic Development Consortium (QED-C), the NSF Center for Quantum Networks (CQN), and the NSF Quantum Leap Challenge Institute Hybrid Quantum Architectures and Networks (HQAN). Aliro is partnering with leading quantum hardware vendors including IBM, Honeywell Quantum Solutions (now Quantinuum), and Rigetti Computing. To learn more, visitwww.aliroquantum.com.

About World Economic Forum

The World Economic Forum, committed to improving the state of the world, is the International Organization for Public-Private Cooperation. The Forum engages the foremost political, business and other leaders of society to shape global, regional and industry agendas. (www.weforum.org).

About the Technology Pioneers

The World Economic Forum believes that innovation is critical to the future well-being of society and to driving economic growth. Launched in 2000, the Technology Pioneer community is composed of early to growth-stage companies from around the world that are involved in the design, development and deployment of new technologies and innovations, and are poised to have a significant impact on business and society.

The World Economic Forum provides the Technology Pioneers community with a platform to engage with the public- and private-sector leaders and to contribute new solutions to overcome the current crisis and build future resiliency.

Source: Aliro Quantum

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Aliro Quantum Selected as a 2022 Technology Pioneer by the World Economic Forum - HPCwire

IBMs massive Kookaburra quantum processor might land in 2025 – Popular Science

Todays classical supercomputers can do a lot. But because their calculations are limited to binary states of 0 or 1, they can struggle with enormously complex problems such as natural science simulations. This is where quantum computers, which can represent information as 0, 1, or possibly both at the same time, might have an advantage.

Last year, IBM debuted a 127-qubit computing chip and a structure called the IBM Quantum System Two, intended to house components like the chandelier cryostat, wiring, and electronics for these bigger chips down the line. These developments edged IBM ahead of other big tech companies like Google and Microsoft in the race to build the most powerful quantum computer. Today, the company is laying out its three-year-plan to reach beyond 4,000-qubits by 2025 with a processor it is calling Kookaburra. Heres how it is planning to get there.

To scale up its processing abilities for qubits, IBM will flesh out development on both the hardware and software components for the quantum chips. First to come is a new processor called Heron that boasts 133 qubits. In addition to having more qubits, the Heron chip has a different design from its predecessor, Eagle. It actually allows us to get a much larger fraction of functioning 2-qubit gates. Its using a new architecture called tunable couplers, says Jerry Chow, director of quantum hardware system development at IBM Quantum.

Along with this plan for this new processor for Heron, we want to be able to have multiple Herons that are all addressable via one control architecture, he adds. We want to be able to have classical communication linked across these chips and processors as were building them out.

Before you can understand what a qubit is, you need to understand what a bit is, and what a gate is, too. On classical computers, information is encoded as binary bits (0 or 1). Transistors are switches that control the flow of electrons. Transistors are connected to several electrodes, including a gate electrode. Changing the electrical charge on the gate electrode controls whether the transistor is on in state 1, or off, in state 0. Physical changes to these states allow computers to encode information. Logic gates are made up of a specific arrangement of transistors. A bunch of transistors can make up an integrated circuit which can store chunks of data. These circuits are all interconnected on the surface of a chip.

[Related: The trick to a more powerful computer chip? Going vertical.]

Qubits work differently from bits, and quantum gates work differently than classical gates. Unlike classical bits, which can have a value of 1 or 0, under the right conditions, qubits can stay in the wave-like, quantum superposition state, which represents a combination of all possible configurations0, 1, or a superposition of the two. Firing microwave photons at qubit-specific frequencies allows researchers to control their behavior, which can be to hold, change, or read out units of quantum information.

Unfortunately, qubits are quite fragile: They are heat-sensitive, unstable, and error-prone. When qubits talk to each other or to the wiring in their environment, they can lose their quantum properties, making calculations less accurate. When describing how long they can stay in their superposition states, experts refer to their coherence time. The coherence time and how long it takes to do a gate sets the limit on how big of a quantum calculation you can do with a set of qubits.

[Related: IBMs latest quantum chip breaks the elusive 100-qubit barrier]

The way that weve been designing our current processors, Falcon, Hummingbird, Eagle, have been using fixed coupling between qubits, and weve been using a microwave-based 2-qubit cross-resonance gate, says Chow. In those cases, they were using different frequencies to talk to the corresponding qubit. Now, theyre adding individualized magnetic field controls for the couplers between the qubits, Chow says, which allows them to turn on qubit interactions with the varying microwave frequencies.

Classical computers have cores, which are groupings of transistors that can run multiple tasks in parallel. You can envision it as having multiple checkout registers open at a supermarket instead of having everyone line up for one. CPUs that offer multiple cores, or multi-threading, can split up a big task into smaller pieces that can be fed to the different cores for processing.

Now, IBM wants to apply this concept to quantum computing as well, through a technique called circuit knitting. This effectively takes large quantum circuits, finds ways to break them down into smaller, more digestible quantum circuits, which can be almost parallely run across a number of processors, Chow explains. With this classical parallelization, it increases the types of problems and capabilities that were able to address. Parallelization could also be useful for decreasing error rates.

This design offshoot is separate from the development of Osprey or Condor, which are on track to hit 433 and 1,121 qubits, respectively, in the next few years. But we also want to have some modularity built-in that will allow us to scale even further. At some level, just the amount of the number of qubits that were going to be able to pack into a single chip will start to become limited, says Chow. Were testing some of those boundaries with Osprey and with Condor currently.

With Heron, the idea is for engineers to test ways to establish quantum links across multiple quantum chips. Were exploring what we call these modularly couplers that will allow us to effectively have multiple chips that are connected together, Chow says. This will create what is essentially a larger, quantum coherent processor made up of three individual quantum chips with the same underlying quantum processor. To this end, IBM hopes to couple three chips into a 408-qubit system, called Crossbill, in 2024.

To scale even more, IBM is also working on long-range couplers that can connect up clusters of quantum processors through a meter-long cryogenic cable (superconducting qubits need to be kept very cold). Were calling this the inter-quantum communication link, says Chow, and it can extend quantum coherent connections within the shared cryogenic environment.

Combining parallelization, chip-to-chip connection, as well as long-range coupling is what could enable them to achieve their 2025 goal of a 4,158-qubit system: The Kookaburra.

Going quantum doesnt mean redesigning an entire computer from the ground up. Much of the quantum system runs on classical computing infrastructure. The way that we typically have our systems is you have your quantum processor inside the refrigerator and youre constantly talking to it with the classical infrastructure, Chow says. The classical infrastructure is generating these microwave pulses, generating the read-outs. When you program a circuit it just turns into this orchestration of gates, operations that go to the chips.

But instead of having just quantum processors, one controller can also feed into classical processors, like CPUs and GPUs, which would be connected in parallel to the quantum chip, but not in any quantum way. That way, it can do threaded applications utilizing both classical and quantum computing powers.

The quantum processor is providing a different resource from a GPU or a super large CPU, says Chow. But overall, the whole thing is going to be something that feels like a supercomputer that is still orchestrated together.

[Related: Recent AWS glitches illustrate the power, and fragility, of cloud computing]

In IBMs vision of the future of computation, machines will have components that can run quantum circuits on the quantum hardware. However, this component will be stitched together with classical memory and classical infrastructure. This type of hybrid structure can be used for problems like molecular simulations, which uses a hybrid quantum-classical algorithm called the variational quantum eigensolver.

Quantum circuits are not like classical circuits. The logic for the gates is different, and the language for the algorithms is different.

When IBMs first quantum computer was launched onto the cloud in 2016, it came with an assembly language, called OpenQASM, which has been used to build up programs. This coming year, IBM will integrate dynamic circuits that can measure qubits and process classical information concurrently into their OpenQASM 3 library. This is also a hardware improvement that hinges on improved control electronics and better real-time messaging between the control side of the circuit and the measurement side. It can allow for more error corrections and parity checks.

The basic language coding for these types of operations will form primitives, or the basic computation elements of an algorithm, all of which will be a part of IBMs Qiskit Runtime platform, a computing service and programming model for quantum calculations. Qiskit contains different levels of assembly languages for kernel developers who might have to work with the code and the hardware and an API in the Qiskit stack for algorithm developers to work serverlessly.

At this higher level for algorithm developers, you dont need to care about running it on any particular backend when you have this cloud environment where you can access the CPUs, GPUs, and QPUs, all orchestrated together, Chow says. It allows us to use the classical resources in concert with our quantum resources to handle some of the larger quantum circuit problemsones that might be pushing on things like quantum advantage.

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IBMs massive Kookaburra quantum processor might land in 2025 - Popular Science

Are these the best quantum computing stocks to watch? – IG UK

One of the highest profile players in the quantum computing space is Alphabets Google. Google Inc. announced in 2019 that they had attained quantum superiority. In other words, its quantum processor, Sycamore, had successfully performed its first-ever function beyond the capabilities of classical computers.

However, this was soon questioned by IBM, who claimed that the same problem could be solved by a standard computer just over the space of days, compared to Sycamores mere minutes.

Then, in the second half of 2020, a smaller version of Sycamore reached another milestone performing its first quantum chemistry reaction.

In May 2021, Google opened its new Quantum AI Campus in Santa Barbara, California, along with a new goal: to build the worlds first useful, error-corrected quantum computer by 2029. 1

Google has even, to a certain extent, opened this effort up to the public in collaboration, when it announced Quantum Computing Service in December 2021. This allows approved customers the opportunity to send their own computing programs to Google to be run on their quantum computing hardware at the lab in Santa Barbara.

With this kind of computing power, Google is hoping to solve problems humanity hasnt been able to for centuries. Some of these include developing better medicines, solving world hunger and climate crises. However, this is a long way off for now.

The only recent news regarding Google and quantum computing has been speculative. For example, there have been rumours that Google Inc. may or may not take Sandbox, its secretive quantum department unrelated to its quantum AI campus, public. However, nothing concrete has been confirmed and it could be years before any further tangible quantum milestones are reached.

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Are these the best quantum computing stocks to watch? - IG UK