Category Archives: Quantum Computing

Professor Michelle Simmons AO to deliver the 2023 Boyer Lectures – About the ABC

The ABC has announced Professor Michelle Simmons AO FRS FAA FRSN FTSE will deliver the 2023 Boyer Lecture series.

Professor Simmons series of four lectures with the overarching theme, The Atomic Revolution, will explore quantum physics, manufacturing at the atomic scale, women in science, and why Australia is perfectly positioned to build the worlds first error corrected quantum computer.

Professor Simmons is the CEO of Silicon Quantum Computing and the Director at the Centre of Excellence for Quantum Computation and Communication Technology at the University of New South Wales. She was the inaugural Editor-in-Chief of Nature Quantum Information.

Professor Simmons is a pioneer in atomic electronics and a global leader in quantum computing. Her achievements include developing the worlds first single-atom transistor, the worlds narrowest conducting wires, the ability to encode and read information on single atoms and the world s first integrated circuit made with atomic precision.

Professor Simmons believes we are in the midst of the space race of the computing era. Along with her team, she is aiming to build a quantum computer capable of solving complex problems that would otherwise take thousands of years in minutes. Such a computer has the potential to revolutionise drug design, weather forecasting, self-driving vehicles, artificial intelligence and more.

ABC Chair Ita Buttrose said: I am delighted that Professor Simmons will deliver this years Boyer lectures. She is an inspirational scientific leader and will discuss the revolution in atomic-scale manufacturing that is underway here in Australia, and the implications for building an Australian quantum computer.

Professor Simmons has lived in Australia since 1999. I came here in the belief that this country would be an idea place undertake audacious, big-picture technological research. I was right, she said.

About Professor Michelle Simmons

Michelle Simmons was born in London and attended the UKs Durham University, where she studied for a double degree in Physics and Chemistry (19851988). In 1992she was awarded aPhD in high efficiency solar cells. Following a successful research position at the Cavendish where she was recognised for her work on the 0.7 structure and for the study of metallic states in very pure transistors, she was awarded a QEII Fellowship in 1999 and moved to Australia, where she became a founding member of theAustralian Research CouncilCentre of Excellence for Quantum Computer Technology. She has since been awarded two Federation Fellowships and a Laureate Fellowship, the Australian Research Councils most prestigious awards of this kind.

Professor Simmons is a Fellow of the Royal Society, the American Academy of Arts and Science, the American Association of the Advancement of Science, the UK Institute of Physics, the American Physical Society, the Australian Academy of Technology and Engineering and of the Australian Academy of Science.

She has been awarded the Bakerian Medal from the Royal Society in the UK, the American Foresight Institute Feynman Prize in Nanotechnology, the George R Stibitz Computer and Communications Pioneer Award from the American Computer Museum and was named Asia Pacific 2017 LOreal-UNESCO Women in Science Laureate. She was the 2018 Australian of the Year and was appointed an Officer of the Order of Australia (AO)in 2019.

The Boyer Lecture series, named after former ABC Chairman Sir Richard Boyer, is a series of lectures from a prominent Australian invited to express their thoughts on major social, cultural, scientific or political issues. The first lecture will screen live on ABC TV and ABC iview on Thursday 19 October at 8pm. ABC RN will broadcast the four lectures weekly from Sunday 22 October at 9.30am.

For more information:

Laura Todd, ABC Communicationstodd.laura@abc.net.au

We acknowledge Aboriginal and Torres Strait Islander peoples as the First Australians and Traditional Custodians of the lands where we live, learn and work.

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Professor Michelle Simmons AO to deliver the 2023 Boyer Lectures - About the ABC

Wearable Quantum Sensors to Measure Brain Activity While We Sleep, Move and Age, Says IDTechEx – Yahoo Finance

BOSTON, Sept. 8, 2023 /PRNewswire/ -- New quantum sensors measuring brain activity have the potential to revolutionize our understanding of how humans respond to sleep, movement, diet, and aging. More versatile and comfortable than traditional scanners, helmets incorporating highly sensitive quantum magnetic field sensors are being commercialized. In this article,IDTechEx overviews the science behind these new wearable sensors and the outlook for the technology within the wider quantum sensor market forecast to reach US$7.1 billion by 2044.

Quantum sensor market forecast. Source: IDTechEx

Superconducting Sensors Limit Applications

Brain activity generates tiny (femto-Tesla) magnetic fields. The incumbent method of measuring these signals is using superconducting quantum interference devices (SQUIDs). However, this technology requires super-cooling and, as such, is limited to integration into bulky scanners. This not only limits how close SQUIDs can be placed to the brain (compromising sensitivity) but is also uncomfortable for patients required to remain still for long periods. This causes a particular problem for young children and those with movement disabilities such as Parkinsons. It also limits researchers' ability to correlate the brain with crucially related activities such as sleep and movement.

New Quantum Sensors Can Operate at Room Temperature

Recently, a room-temperature operable alternative to the SQUID has emerged, the optically pumped magnetometer (OPM). Instead of leveraging superconductivity for high sensitivity, the spin-state of alkali vapors is used. These can be monitored using standard optical components such as lasers, vapor-cells, and photodiodes. As a result, these mm-scale devices can be placed into arrays within helmets, in closer proximity to the brain. The result is a wearable quantum sensor array that can measure brain activity with sensitivity and spatial resolution comparable with existing scanners but unlocking those applications previously inaccessible due to prohibited movement.

Story continues

New Facilities Will Manufacture Miniaturized Quantum Components

In recent years, the focus on developing scalable methods of manufacturing quantum components has increased. For example, research by Bosch, Fraunhofer, and others is also showing how MEMs manufacturing techniques can be adapted to optimize vapor-cell production further. In the future, even more devices per wafer could be produced commercially instead of small batches from pilot lines. This would add value by not only reducing the cost per OPM but also reducing sensor size and, therefore, increasing the spatial resolution achievable.

Mass-produced quantum components will be essential for the scale-up of multiple emerging technologies including quantum computing, quantum communications, and networks, as well as quantum sensing. This is prompting investment into new quantum foundries and fabrication facilities globally for optical, superconducting, and even diamond-based components. This should only serve to aid the commercialization of quantum sensors, including wearable OPMs.

Market Opportunities and Challenges

Interest in monitoring brain activity is on the rise. One reason for this is the increasing age of the population and, therefore, the prevalence of age-related conditions such as Alzheimer's and Parkinsons. Understanding the connection between brain health, activity, sleep, diet, and aging can be made significantly easier with wearable neural imaging solutions. Beyond this, epilepsy research and diagnosis, particularly for children or during fitting, would also serve to benefit from an alternative to the existing scanners. The historical use of SQUIDs within the neural imaging market shows them to be early adopters of quantum sensing technology and, as such, a key target market for OPM developers. Notable companies seeking to disrupt the medical market are Cerca Magnetics, QuSpin, and Mag4Health. In each instance, manufacturing and research partners such as VTT, CSEM and CEA Leti are also key driving forces for the commercialization of their wearable OPM devices.

Challenges for OPM adoption do, however, remain. One limitation is the requirement for use in specialized rooms that contain infrastructure to cancel out the earth's magnetic field. As a result, while OPMs are more convenient than traditional scanners their use will likely remain limited to clinical settings. As such, this technology is unlikely to find opportunity in the consumer market despite growing interest in wearable neural interfaces for AR and VR. Furthermore, without the development of a more scalable manufacturing infrastructure previously discussed, costs per sensor will remain high (typically US$5000-$10000).

Outlook and Conclusions

Optically pumped magnetometers combine the value propositions of quantum sensors and wearable technology: high sensitivity and ease of use. There are real-world applications for this technology within the neural imaging market, where helmets to measure brain activity are anticipated to see growing adoption. However, there are likely higher-volume applications for quantum technology. For example, quantum sensors are being developed to measure time, current, gravity, and rotation some of which could have applications in the automotive and consumer electronics market. Moreover, the growing quantum computing industry is also dependent on quantum sensor development for the readout of qubits millions of which are needed to create the most commercial value. All of these trends and more, alongside ten-year market forecasts, are discussed across IDTechEx's reports on quantum sensors, quantum computers, and wearable technology.

About IDTechEx

IDTechEx guides your strategic business decisions through its Research, Subscription and Consultancy products, helping you profit from emerging technologies. For more information, contact research@IDTechEx.com or visit http://www.IDTechEx.com.

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Saturday Citations: Quantum coherence; rising coal emissions; ‘more uses of snail mucus are being discovered every day’ – Phys.org

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This first week of September, researchers reported on burned-out sharks, a method for maintaining quantum coherence and some positive market news for old-timey coal barons. Plus: Snail slime is really impressive if you look at it from a molecular standpoint.

Sharks exhausted: Everyone knows the horrific effects a great white shark inflicted on the tourists of Amity Island. But does anyone ever stop to think about how the tourists affected the shark? According to a study published in Scientific Reports, these negative impacts probably included stress and disturbed behavior patterns typified by a zig-zag swimming trajectory associated with flight from predators.

The researchers were studying a form of ecotourism in which people pay to swim with groups of sharks, the ultimate dream of anchor-pattern-jacket-wearing Amity Mayor Larry Vaughn. Sounds weird, but it's apparently a multimillion-dollar industry. The researchers suggest that tour operators should be more cognizant of shark behavior and maintaining minimum distances from the animals.

Energy filthy: Do you have a nostalgic yearning for bygone cityscapes blighted by smoke factories and buildings covered with soot? How about a nice, sun-filtering atmosphere thick with asthma-inducing lead, sulfur dioxide, nitrogen oxides and other heavy metals?

Well, hold on to your jaunty felt derby hat, because the per capita coal emissions from G20 countries are rising, right now, in the year 2023, even in the face of weather extremes and promises from governments to transition to sustainable sources of energy. Listen: Do you hear annoying Scott Joplin piano music emanating from somewhere in all the carbon haze? It's like we've stepped backward in time.

Goo versatile: Imagine that you've invented a goop gun that can apply an adhesive glue, a high-viscosity lubricant and a hydrating sunblock lotion, all from the same nozzle. Congratulations, Edison, you've been "bioinspired" by a snail's butt. Researchers at CUNY Advanced Science Research Center published a profile of the slime exuded by the Cornu aspersum snail, which has those same three utilitarian modes.

They found that of the three goo subtypes, the snail's lubricating mucus contains the lowest amount of calcium-binding proteins and its binding mucus contains the most. In a key quote from the article, chemistry and biochemistry Professor Adam Braunschwieg says, "More uses of snail mucus are being discovered every day," which is honestly a great argument in favor of government-funded research if you're arguing with your uncle at a family dinner.

Noise irritating: Nuclear spin ensembles only retain their quantum states for about 150 milliseconds before they're canceled out by noise in the form of heat and other sources. Oh, were you storing some information in that quantum system? Well, it's gone, now. Good thing you backed up your data in another nuclear spin ensembleoh, that one just decohered, too.

Noise is the enemy of quantum coherence and therefore the enemy of engineers trying to build quantum computing systems and quantum sensors. But it turns out that noise is also its own worst enemy.

Physicists at MIT now report a method to extend the period of a nuclear spin ensemble's coherence to three gargantuan milliseconds. The team characterized the heat noise affecting nuclear quadrupole interactions in a quantum system and used the same source of noise to offset itas the article suggests, their system works similarly to noise-canceling headphones.

Star yummy: Astronomers using the Neil Geherls Swift Observatory report that a sun-like star in a nearby galaxy is gradually being consumed by a small black hole. Caught in an elliptical orbit around the black hole, the star loses the equivalent mass of about three earths every time it swings close, like a hot dog on a string swinging around a beagle.

The researchers detected a bright X-ray flash emanating from nearby galaxy 2MASX J02301709+2836050, and over subsequent observations, noticed that the source would shine brightly for seven to 10 days and abruptly diminish, repeating over 25 days. All of this represents a newly discovered phenomenon one of the astronomers calls a "repeated, partial tidal disruption event," and fills in a gap in the knowledge of black hole feeding behavior.

Journal information: Scientific Reports

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Saturday Citations: Quantum coherence; rising coal emissions; 'more uses of snail mucus are being discovered every day' - Phys.org

Boston quantum computing startup Zapata looks to go public – The Boston Globe

Zapata Computing sits at the intersection of two hot trends in tech this year: quantum computing and generative AI.

Now the Boston startup is looking to capitalize on the hype by going public in a merger with Andretti Acquisition, a special purpose acquisition company, or SPAC. The deal, announced on Wednesday, values Zapata at $200 million. It is expected to close in the first quarter of 2024, with Zapata listed on the New York Stock Exchange and trading under the ticker symbol ZPTA.

The six-year-old company spun out of research at Harvard University and has focused on writing software for future quantum computers and simulating how such apps might run using conventional computers. Zapata is part of a growing cluster of quantum computing-focused startups and labs in the area. (The companys name is inspired by the Mexican revolutionary leader Emiliano Zapata.)

While fully functional quantum computers are still years away, Zapata has seen growing interest from industrial, pharmaceutical, and other companies looking at using its quantum simulation programs to tackle tough computing tasks, including training and running models for generative AI apps more efficiently than traditional software.

We create algorithms that leverage the math behind quantum physics to do some really cool stuff, chief executive Christopher Savoie said in an interview.

Zapata did not disclose its recent financial results with the announcement of the SPAC deal. That will come in a subsequent filing with the Securities and Exchange Commission, the company said.

Becoming publicly traded will allow Zapata to gain access to additional funding opportunities in the future, Savoie said. Its also helpful when seeking business from government agencies and public corporations.

With that kind of clientele, being a public company checks a lot of boxes, he said. Because your finances are public and theres a lot of scrutiny already done on you.

Zapata employs 60 people, with about one-quarter working in the Boston area.

The Andretti SPAC could contribute up to $84 million in cash to fuel Zapatas growth, although the SPACs investors have the right to withdraw their money before the deal closes. The blank-check company went public in 2022 with championship race car driver Michael Andretti as co-chief executive and his father, racing superstar Mario Andretti, as a special advisor.

SPACs have had a poor track record over the past few years. Wireless internet company Starry and digital therapeutics developer Pear Therapeutics in Boston are among the companies that went public via SPACs and declared bankruptcy this year. Still, Maryland quantum computer startup IonQ went public by merging with a SPAC in 2021 and has seen its stock price almost double since.

Zapatas deal with Andretti is different from a typical SPAC transaction, Savoie maintained. The Andretti Autosport racing team has been using Zapatas software for analyzing race data and developing strategies. And Zapata employees sit in the teams command center during races to help run the software.

We already knew Michael, we already knew the team, Savoie said. This isnt an idea of Theres some random stock, lets go match up with them and do this.

Aaron Pressman can be reached at aaron.pressman@globe.com. Follow him @ampressman.

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Boston quantum computing startup Zapata looks to go public - The Boston Globe

Promising quantum state found during error correction research – Phys.org

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Window glass, at the microscopic level, shows a strange mix of properties. Like a liquid, its atoms are disordered, but like a solid, its atom are rigid, so a force applied to one atom causes all of them to move.

It's an analogy physicists use to describe a quantum state called a "quantum spin-glass," in which quantum mechanical bits (qubits) in a quantum computer demonstrate both disorder (taking on seemingly random values) and rigidity (when one qubit flips, so do all the others). A team of Cornell researchers unexpectedly discovered the presence of this quantum state while conducting a research project designed to learn more about quantum algorithms and, relatedly, new strategies for error correction in quantum computing.

"Measuring the position of a quantum particle changes its momentum and vice versa. Similarly, for qubits there are quantities which change one another when they are measured. We find that certain random sequences of these incompatible measurements lead to the formation of a quantum spin-glass," said Erich Mueller, professor of physics in the College of Arts and Sciences (A&S). "One implication of our work is that some types of information are automatically protected in quantum algorithms which share the features of our model."

"Subsystem Symmetry, Spin-glass Order, and Criticality From Random Measurements in a Two-dimensional Bacon-Shor Circuit" published on July 31 in Physical Review B. The lead author is Vaibhav Sharma, a doctoral student in physics.

Assistant professor of physics Chao-Ming Jian (A&S) is a co-author along with Mueller. All three conduct their research at Cornell's Laboratory of Atomic and Solid State Physics (LASSP).

"We are trying to understand generic features of quantum algorithmsfeatures which transcend any particular algorithm," Sharma said. "Our strategy for revealing these universal features was to study random algorithms. We discovered that certain classes of algorithms lead to hidden 'spin-glass' order. We are now searching for other forms of hidden order and think that this will lead us to a new taxonomy of quantum states."

Random algorithms are those that incorporate a degree of randomness as part of the algorithme.g., random numbers to decide what to do next.

Mueller's proposal for the 2021 New Frontier Grant "Autonomous Quantum Subsystem Error Correction" aimed to simplify quantum computer architectures by developing a new strategy to correct for quantum processor errors caused by environmental noisethat is, any factor, such as cosmic rays or magnetic fields, that would interfere with a quantum computer's qubits, corrupting information.

The bits of classical computer systems are protected by error-correcting codes, Mueller said; information is replicated so that if one bit "flips," you can detect it and fix the error. "For quantum computing to be workable now and in the future, we need to come up with ways to protect qubits in the same way."

"The key to error correction is redundancy," Mueller said. "If I send three copies of a bit, you can tell if there is an error by comparing the bits with one another. We borrow language from cryptography for talking about such strategies and refer to the repeated set of bits as a 'codeword.'"

When they made their discovery about spin-glass order, Mueller and his team were looking into a generalization, where multiple codewords are used to represent the same information. For example, in a subsystem code, the bit "1" might be stored in 4 different ways: 111; 100; 101; and 001.

"The extra freedom that one has in quantum subsystem codes simplifies the process of detecting and correcting errors," Mueller said.

The researchers emphasized that they weren't simply trying to generate a better error protection scheme when they began this research. Rather, they were studying random algorithms to learn general properties of all such algorithms.

"Interestingly, we found nontrivial structure," Mueller said. "The most dramatic was the existence of this spin-glass order, which points toward there being some extra hidden information floating around, which should be useable in some way for computing, though we don't know how yet."

More information: Vaibhav Sharma et al, Subsystem symmetry, spin-glass order, and criticality from random measurements in a two-dimensional Bacon-Shor circuit, Physical Review B (2023). DOI: 10.1103/PhysRevB.108.024205

Journal information: Physical Review B

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Promising quantum state found during error correction research - Phys.org

Quantum Computing in Healthcare: A Billion-Dollar Revolution by … – GlobeNewswire

Dublin, Sept. 07, 2023 (GLOBE NEWSWIRE) -- The "Global Quantum Computing in Healthcare Market Size, Share & Industry Trends Analysis Report By Deployment, By Component (Hardware, Software, and Services), By Technology, By Application, By End User, By Regional Outlook and Forecast, 2023 - 2030" report has been added to ResearchAndMarkets.com's offering.

The global Quantum Computing in Healthcare market is on a trajectory for substantial growth, with a projected market size of $1 billion by 2030. The market is expected to experience a remarkable Compound Annual Growth Rate (CAGR) of 45.4% during the forecast period.

Radiotherapy Segment to Drive Significant Revenue

In 2022, the Radiotherapy segment emerged as a major revenue contributor in the Quantum Computing in Healthcare market, generating $5,335.2 million. Radiotherapy involves the use of radiation to eliminate malignant cells or halt their proliferation, frequently used in cancer treatment. Developing a radiation plan that minimizes harm to healthy tissues and body parts is crucial. This process entails complex optimization challenges with numerous variables. Quantum computing can assist in simulating a wide range of possibilities between each iteration, enabling healthcare professionals to concurrently run multiple simulations and formulate an optimal radiation strategy.

Partnerships Driving Market Development

Key market participants are embracing partnerships as a strategic approach to meet evolving end-user demands:

Market Competition Analysis

Google LLC leads the market, notably partnering with Bayer AG for drug discovery. Additionally, companies such as Accenture PLC, IBM Corporation, and Protiviti Inc. are playing crucial roles in driving innovation in the Quantum Computing in Healthcare market.

Factors Driving Market Growth

Two key factors are propelling the growth of the Quantum Computing in Healthcare market:

Factors Restraining Market Growth

Several challenges hinder the quantum computing healthcare market's growth:

Market Segmentation

The Quantum Computing in Healthcare market is segmented based on components, technology, applications, end-users, and deployment:

Component:

Technology:

Application:

End-user:

Deployment:

Regional Outlook

As of 2022, North America leads the Quantum Computing in Healthcare market, with strong investments and collaborations driving quantum computing advancements. The development of quantum computing is particularly significant in the pharmaceutical and biopharmaceutical sectors.

Key Players

Key market players, including IBM Corporation, RIGETTI COMPUTING, INC., ID Quantique SA, D-Wave Systems Inc., Google LLC (Alphabet Inc.), Protiviti Inc. (ROBERT HALF INTERNATIONAL INC.), Deloitte Touche Tohmatsu Limited, Accenture PLC, and Atos Group, are actively contributing to the growth and innovation of the Quantum Computing in Healthcare market.

For more information about this report visit https://www.researchandmarkets.com/r/xrt3tc

About ResearchAndMarkets.comResearchAndMarkets.com is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.

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Executive interview: Richard Moulds, AWS Braket – ComputerWeekly.com

During the AWS annual Re:Invent conference in 2019, the public cloud provider announced Braket, a service and hardware initiative for quantum computing.

The service was introduced in 2020 with support for three machines: a superconducting gate-based machine from Rigetti; a trapped-ion machine and a quantum annealing device from D-Wave. The latest update is claimed to offer a 10x improvement in the performance of hybrid workloads.

Discussing how the companys quantum computing strategy began, Richard Moulds, general manager at AWS Braket, says: We launched a hardware effort, which is actually co-located at the Caltech campus in California to provide a superconducting quantum computer. This, he adds, was accessed via Braket services.

The companys quantum computing strategy is focused on being hardware agnostic, offering its customer access to quantum computing technology through Braket. Since quantum computing technology is evolving, no one knows for certain which quantum technology will emerge as the winner.

Organisations wishing to use quantum computing need to understand the difference between the various architectural approaches, weigh up the pros and cons, and learn how to take advantage of each type of quantum computer when developing use cases.

By 2020, Moulds says AWS had three quantum computing devices available: Our goal was to make a wide variety of machines available to customers so they could see what was real, so they could see what claims made sense and could get a sense of the trajectory in terms of how quickly these machines are evolving. This, he says, helps customers pan and enables them to understand if quantum computing is going to be in their business.

Moulds points out that there is no one perfect architecture for a quantum computer. Businesses need to understand the different technical approaches each architecture offers, so customers want to experiment across different devices. Nobody wants to be locked into a single technology these days. Its just way too early, he adds.

The thing that customers can do right now is experiment with todays quantum hardware. Theres lots of different ways you can build a quantum computer. You know you can use ions, electrons or photons. But they all have really different trade-offs in terms of quality, the error rates, speed of operation, the number of qubits, the type of gates they can deliver and the connectivity between those gates. All vary enormously.

Among the areas of quantum computing AWS has tried to address is to make it easier for customers to access a quantum computing machine to see how they are operated. According to Moulds, the companies developing quantum computing may often only have a few machines that are operational: These things are in labs and oftentimes you only have private access and you need to know the scientists involved.

Its not like they have racks of servers. These are early stage devices. In some cases you might even describe them as prototype machines. So, they need some care and feeding and might require calibrating every day. The technology is not mature enough right now, unfortunately, to build quantum computers in an Amazon datacentre.

Nobody wants to be locked into a single technology these days. Its just way too early

Richard Moulds, AWS Braket

What this means is that the programs that customers want to run need to run on quantum machines that are not inside the AWS physical boundary. Mould says: We have to do a lot of work in terms of securing that connection and we work very closely with the quantum computing hardware providers to make sure that their security infrastructure is appropriate for running our customers data.

This also means that applications on AWS that want to make use of quantum computing resources through Braket require optimisation to reduce the network communications to the target quantum computing site.

Theres always a real important interplay between classical computers and quantum computers they work hand in hand. So, whatever you can do to make that connection efficient, will ultimately speed up the application, says Moulds.

Along with access to the hardware, Moulds says that another problem in quantum computing is that the industry is fragmented. Each machine basically has its own developer environment, its own developer toolkits. We want to get away from that and try to make it possible for customers to design quantum algorithms then run those algorithms on as many different types of [quantum computing] machine as possible.

According to Moulds, today a quantum computer cannot outperform a classical machine. He says: People have come up with some synthetic problems and synthetic examples, which generally is referred to as quantum supremacy, but these are not useful problems. No one is using these devices for running production workloads right now. No ones saving money.

He says many businesses want to find out if there are any useful problems that can be solved by quantum computing faster or cheaper than a classical machine.

There is, however, a lot of work being done in research, where scientists try to understand how they build a better machine and investigate how to identify better algorithms for quantum computing.

Moulds says people are looking how to use classical computing techniques combined with machine learning to make quantum algorithms run better, adding:Today, its all about experimentation.

Moulds says scientists are also looking at the potential to use quantum computing for molecular simulation. He believes this may be the first quantum computing use case that has the potential to succeed. It sort of makes sense, he says. When you think about it, youre using a quantum machine to basically simulate a quantum system.

A chemical reaction involves atoms and molecules interacting at the quantum level electrons and protons. The quantum computer effectively runs a digital twin of the experiment. The results from the real-world, wet lab experiment are then used to adjust parameters in the digital twin, until it produces the same results as the real chemical reaction.

But, as Moulds points out, digital twins that run on a classical computer are unable to model chemical reactions accurately: You cant model this stuff perfectly using a classical machine. Its just too complicated.

Petrochemicals, drugs and plastics are based on huge molecules, which simply cannot be modelled. With classical computing, he says that there are lots of compromises and lots of simplifications. A quantum computer offers scientists a potential way to run the digital twin without simplification and compromises.

From the conversation with Moulds, it seems that quantum computing devices are a long way off. Certainly, it will take some time before the technology has matured to a point where they can be deployed in the same way as datacentres infrastructure in public clouds. Nevertheless, this should not stop organisations from experimenting with the different types of quantum computing architecture to investigate potential use cases.

However, the fact that it is still early days for quantum computing means that applications that target quantum computers can be verified using classic computing architectures. In the future, as and when quantum supremacy is achieved, it will no longer be possible to run these simulations to verify the results.

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Executive interview: Richard Moulds, AWS Braket - ComputerWeekly.com

The quantum computing in drug discovery services market is anticipated to grow at 14% CAGR by 2035, accor – Benzinga

September 6, 2023 10:20 AM | 4 min read

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Stakeholders in the biopharmaceutical industry are currently exploring the implementation of quantum computing in order to expedite the drug discovery process and cut down the overall R&D capital investment

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Owing to the various benefits of quantum computing, such as big data processing and complex molecular modeling for minimizing cost and time investment, the adoption rate of quantum computing in pharmaceutical industry is expected to increase rapidly during the forecast period. Additionally, various partnerships have been inked for application of quantum computing in drug discovery. Majority of these partnerships are research and development agreements, followed by platform utilization agreements. Drug developers require support from both quantum computing software and hardware developers. In July 2021, Riverlane and Astex Pharmaceuticals announced their collaboration with Rigetti Computing to utilize their quantum systems along with Riverlane's algorithm expertise to develop molecular models of chemical compounds and study their interaction with proteins in the human body.

To order this 170+ slide report, which features 30+ figures and 75+ tables, please visit our Quantum Computing Market Report

Key Market Insights

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The financial opportunity within the quantum computing in drug discovery services market has been analysed across the following segments:

The research also includes detailed profiles of the key players (listed below) engaged in the quantum computing in drug discovery services market; each profile features an overview of the company, its financial information (if available), details related to its service portfolio, and recent developments and an informed future outlook.

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The quantum computing in drug discovery services market is anticipated to grow at 14% CAGR by 2035, accor - Benzinga

‘We want to bring in the next computing revolution’: Q-CTRL named … – Startup Daily

Quantum computing software startup Q-CTRL took home the 2023 Startup Daily Best in Tech Awards Most Innovative Startup award, sponsored by Dell for Startups. Heres why they stood out in one of the events most competitive categories.

Q-CTRL has pioneered the quantum infrastructure software segment, and become the leading software company in the quantum sector.

Its that innovation that impressed the judges at our inaugural Startup Daily Best in Tech Awards, which were held at The Establishment Ballroom in Sydney on September 6.

The software, developed by Sydney University Professor Michael J Biercuk and his team, is designed to improve the utility and performance of quantum hardware by tackling error-correction and suppression in calculations. That application has accelerated the pathway to the first useful quantum computers and quantum sensors in sectors such as sectors like finance, pharma, materials science and logistics, as well as defence.

Q-CTRL has also developed Black Opal, an edtech platform that enables users to quickly learn quantum computing.

Founded in 2017, Q-CTRL was Australias first venture-backed quantum tech startup.

Its posted an impressive run of achievements and traction over the last 18 months, raising more than $42 million in funding, including from Salesforce Ventures. Former Wallabies captain John Eales is also an investor.

The company also landed a deal to deliver quantum sensing navigational technologyfor Australian Defence and AUKUS partners. Both Q-CRTLs quantum sensing and quantum computing divisions signed multiple multi-million-dollar contracts with the public sector this year.

It also forged a partnership with hardware manufacturer Oxford Quantum Circuits and opened four new offices including its Sydney headquarters and others in the UK, Los Angeles and Berlin, with the team growing by 40 per cent of the past year to more than 100 people.

Founder and CEO Michael J Biercuk confessed to Startup Daily on the awards night that he hadnt taken a holiday in 11 years and wished there were more hours in the day to achieve their goals.

We want nothing less than to bring in the next computing revolution, he said.

If you look back, 30, 50, 70 years at how much the world has changed because of computing.

We want to do the same thing with this totally new quantum technology. We want to make all of it work, and do it from our headquarters here in Sydney.

Award presenter Will Hasko from Dell Technologies with Most Innovative Startup award winner Michael J Biercuk from Q-CTRL. Image: Cec Busby

Prof Biercuk said he was grateful for the recognition from Startup Daily and the judges for Most Innovative Startup.

As a young tech startup, everyone at Q-CTRL is working really hard to deliver huge commercial and strategic advantages for Australia and its allies, he said.

Weve assembled the best team in the world, drawing on Australias exceptional history as a research powerhouse in quantum computing. Its thrilling that weve been able to build a business around our globally unique technology which is recognised not just in quantum technology circles, but across the broader tech ecosystem.

Q-CTRL became an inaugural member of the IBM Quantum Network startup program since 2018, and its performance management software now runs natively on IBM quantum computers.

Prof Biercuk said there are more very exciting things coming a little bit later in the year but for now hes going tokeep quiet for the moment.

The Most Innovative Startup award recognises a startup that is changing the world for the better with their bold ideas. The other finalists in Q-CTRLs category were:

See the full list of 2023 Startup Daily Awards winners here.

This article is brought to you by Startup Daily, with the support of Dell Technologies.

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'We want to bring in the next computing revolution': Q-CTRL named ... - Startup Daily

2023 Quantum Computing Technologies Market Size and Share | Market Sales Volume Status and Outlook till 2 – Benzinga

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The Global "Quantum Computing Technologies Market" Informational Report provides an in-depth examination of market dynamics to help businesses make strategic decisions. It facilitates trend anticipation by assessing major key players performance, profiles, growth prospects, and regional impacts. This research equips organizations with the knowledge they need to understand the landscape of the Quantum Computing Technologies market and obtain a competitive advantage through wise decisions. The research includes a thorough analysis of the key growth-promoting variables, the strategic stances taken by economic actors, and the chances for expansion based on market dynamics globally and at the regional level.

It offers a thorough grasp of the entire ecosystem, together with in-depth knowledge of important market categories and the impact they have on particular regions. The report also looks into recent technology developments and research and development expenditures made by well-known companies. It includes essential elements like such as size, application, market share, supply chain, revenue trends, offering a thorough investigation of these factors throughout the report.

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Market Analysis and Insights: Global Quantum Computing Technologies Market

The global Quantum Computing Technologies market size was valued at USD 470.0 million in 2021 and is expected to expand at a CAGR of 31.23 percentage during the forecast period, reaching USD 2400.0 million by 2027.Quantum technology is a new field of physics and engineering, which transitions some of the properties of quantum mechanics, especially quantum entanglement, quantum superposition and quantum tunnelling, into practical applications such as quantum computing, quantum sensors, quantum cryptography, quantum simulation, quantum metrology and quantum imaging. Colloidal quantum dots irradiated with a UV light. Different sized quantum dots emit different color light due to quantum confinement.

Major Players in Quantum Computing Technologies market are:

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Quantum Computing Technologies Market by Types:

Quantum Computing Technologies Market by Applications:

Quantum Computing Technologies Market Key Points:

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Geographically, the detailed analysis of consumption, revenue, market share and growth rate, historical data and forecast :

Outline

Chapter 1 mainly defines the market scope and introduces the macro overview of the industry, with an executive summary of different market segments ((by type, application, region, etc.), including the definition, market size, and trend of each market segment.

Chapter 2 provides a qualitative analysis of the current status and future trends of the market. Industry Entry Barriers, market drivers, market challenges, emerging markets, consumer preference analysis, together with the impact of the COVID-19 outbreak will all be thoroughly explained.

Chapter 3 analyzes the current competitive situation of the market by providing data regarding the players, including their sales volume and revenue with corresponding market shares, price and gross margin. In addition, information about market concentration ratio, mergers, acquisitions, and expansion plans will also be covered.

Chapter 4 focuses on the regional market, presenting detailed data (i.e., sales volume, revenue, price, gross margin) of the most representative regions and countries in the world.

Chapter 5 provides the analysis of various market segments according to product types, covering sales volume, revenue along with market share and growth rate, plus the price analysis of each type.

Chapter 6 shows the breakdown data of different applications, including the consumption and revenue with market share and growth rate, with the aim of helping the readers to take a close-up look at the downstream market.

Chapter 7 provides a combination of quantitative and qualitative analyses of the market size and development trends in the next five years. The forecast information of the whole, as well as the breakdown market, offers the readers a chance to look into the future of the industry.

Chapter 8 is the analysis of the whole market industrial chain, covering key raw materials suppliers and price analysis, manufacturing cost structure analysis, alternative product analysis, also providing information on major distributors, downstream buyers, and the impact of COVID-19 pandemic.

Chapter 9 shares a list of the key players in the market, together with their basic information, product profiles, market performance (i.e., sales volume, price, revenue, gross margin), recent development, SWOT analysis, etc.

Chapter 10 is the conclusion of the report which helps the readers to sum up the main findings and points.

Chapter 11 introduces the market research methods and data sources.

Major Questions Addressed in the Report:

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Detailed TOC of Global Quantum Computing Technologies Industry Research Report

1 Quantum Computing Technologies Market Overview

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1.1 Product Overview and Scope of Quantum Computing Technologies Market

1.2 Quantum Computing Technologies Market Segment by Type

1.2.1 Global Market Sales Volume and CAGR (Percentage) Comparison by Type (2018-2028)

1.3 Global Quantum Computing Technologies Market Segment by Application

1.3.1 Market Consumption (Sales Volume) Comparison by Application (2018-2028)

1.4 Global Quantum Computing Technologies Market, Region Wise (2018-2028)

1.4.1 Global Market Size (Revenue) and CAGR (Percentage) Comparison by Region (2018-2028)

1.4.2 United States Quantum Computing Technologies Market Status and Prospect (2018-2028)

1.4.3 Europe Quantum Computing Technologies Market Status and Prospect (2018-2028)

1.4.4 China Quantum Computing Technologies Market Status and Prospect (2018-2028)

1.4.5 Japan Quantum Computing Technologies Market Status and Prospect (2018-2028)

1.4.6 India Quantum Computing Technologies Market Status and Prospect (2018-2028)

1.4.7 Southeast Asia Quantum Computing Technologies Market Status and Prospect (2018-2028)

1.4.8 Latin America Quantum Computing Technologies Market Status and Prospect (2018-2028)

1.4.9 Middle East and Africa Quantum Computing Technologies Market Status and Prospect (2018-2028)

1.5 Global Market Size of Quantum Computing Technologies (2018-2028)

1.5.1 Global Quantum Computing Technologies Market Revenue Status and Outlook (2018-2028)

1.5.2 Global Quantum Computing Technologies Market Sales Volume Status and Outlook (2018-2028)

1.6 Global Macroeconomic Analysis

1.7 The impact of the Russia-Ukraine war on the Quantum Computing Technologies Market

2 Industry Outlook

2.1 Quantum Computing Technologies Industry Technology Status and Trends

2.2 Industry Entry Barriers

2.2.1 Analysis of Financial Barriers

2.2.2 Analysis of Technical Barriers

2.2.3 Analysis of Talent Barriers

2.2.4 Analysis of Brand Barrier

2.3 Quantum Computing Technologies Market Drivers Analysis

2.4 Quantum Computing Technologies Market Challenges Analysis

2.5 Emerging Market Trends

2.6 Consumer Preference Analysis

2.7 Quantum Computing Technologies Industry Development Trends under COVID-19 Outbreak

2.7.1 Global COVID-19 Status Overview

2.7.2 Influence of COVID-19 Outbreak on Quantum Computing Technologies Industry Development

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3 Global Quantum Computing Technologies Market Landscape by Player

3.1 Global Sales Volume and Share by Player (2018-2023)

3.2 Global Revenue and Market Share by Player (2018-2023)

3.3 Global Average Price by Player (2018-2023)

3.4 Global Gross Margin by Player (2018-2023)

3.5 Quantum Computing Technologies Market Competitive Situation and Trends

3.5.1 Quantum Computing Technologies Market Concentration Rate

3.5.2 Quantum Computing Technologies Market Share of Top 3 and Top 6 Players

3.5.3 Mergers and Acquisitions, Expansion

4 Global Quantum Computing Technologies Sales Volume and Revenue Region Wise (2018-2023)

4.1 Global Sales Volume and Market Share, Region Wise (2018-2023)

4.2 Global Revenue and Market Share, Region Wise (2018-2023)

4.3 Global Sales Volume, Revenue, Price and Gross Margin (2018-2023)

4.4 United States Sales Volume, Revenue, Price and Gross Margin (2018-2023)

4.4.1 United States Market Under COVID-19

4.5 Europe Sales Volume, Revenue, Price and Gross Margin (2018-2023)

4.5.1 Europe Market Under COVID-19

4.6 China Sales Volume, Revenue, Price and Gross Margin (2018-2023)

4.6.1 China Market Under COVID-19

4.7 Japan Sales Volume, Revenue, Price and Gross Margin (2018-2023)

4.7.1 Japan Market Under COVID-19

4.8 India Sales Volume, Revenue, Price and Gross Margin (2018-2023)

4.8.1 India Market Under COVID-19

4.9 Southeast Asia Sales Volume, Revenue, Price and Gross Margin (2018-2023)

4.9.1 Southeast Asia Market Under COVID-19

4.10 Latin America Sales Volume, Revenue, Price and Gross Margin (2018-2023)

4.10.1 Latin America Market Under COVID-19

4.11 Middle East and Africa Sales Volume, Revenue, Price and Gross Margin (2018-2023)

4.11.1 Middle East and Africa Market Under COVID-19

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2023 Quantum Computing Technologies Market Size and Share | Market Sales Volume Status and Outlook till 2 - Benzinga