Category Archives: Quantum Computing
Google says it has created a time crystal in a quantum computer, and it’s weirder than you can imagine – ZDNet
Google's scientists now rather excitingly say that their results establish a "scalable approach" to study time crystals on current quantum processors.
In a new research paper, Google scientists claim to have used a quantum processor for a useful scientific application: to observe a genuine time crystal.
If 'time crystal' sounds pretty sci-fi that's because they are. Time crystals are no less than a new "phase of matter", as researchers put it, which has been theorized for some years now as a new state that could potentially join the ranks of solids, liquids, gases, crystals and so on. Thepaper remains in pre-print and still requires peer review.
Time crystals are also hard to find. But Google's scientists now rather excitingly say that their results establish a "scalable approach" to study time crystals on current quantum processors.
SEE: What is quantum computing? Everything you need to know about the strange world of quantum computers
Understanding why time crystals are interesting requires a little bit of background in physics particularly, knowledge of the second law of thermodynamics, which states that systems naturally tend to settle in a state known as "maximum entropy".
To take an example: if you pour some milk into a coffee cup, the milk will eventually dissolve throughout the coffee, instead of sitting on the top, enabling the overall system to come to an equilibrium. This is because there are many more ways for the coffee to randomly spread throughout the coffee than there are for it to sit, in a more orderly fashion, at the top of the cup.
This irresistible drive towards thermal equilibrium, as described in the second law of thermodynamics, is reflective of the fact that all things tend to move towards less useful, random states. As time goes on, systems inevitably degenerate into chaos and disorder that is, entropy.
Time crystals, on the other hand, fail to settle in thermal equilibrium. Instead of slowly degenerating towards randomness, they get stuck in two high-energy configurations that they switch between and this back-and-forth process can go on forever.
To explain this better, Curt von Keyserlingk, lecturer at the school of physics and astronomy at the University of Birmingham, who did not participate in Google's latest experiment, pulls out some slides from an introductory talk to prospective undergraduate students. "They usually pretend to understand, so it might be useful," von Keyserlingk warns ZDNet.
It starts with a thought experiment: take a box in a closed system that is isolated from the rest of the universe, load it with a couple of dozens of coins and shake it a million times. As the coins flip, tumble and bounce off each other, they randomly move positions and increasingly become more chaotic. Upon opening the box, the expectation is that you will be faced with roughly half the coins on their heads side, and half on their tails.
It doesn't matter if the experiment started with more coins on their tails or more coins on their heads: the system forgets what the initial configuration was, and it becomes increasingly random and chaotic as it is shaken.
This closed system, when it is translated into the quantum domain, is the perfect setting to try and find time crystals, and the only one known to date. "The only stable time crystals that we've envisioned in closed systems are quantum mechanical," says von Keyserlingk.
Enter Google's quantum processor, Sycamore,which is well known for having achieved quantum supremacyand is now looking for some kind of useful application for quantum computing.
A quantum processor, by definition, is a perfect tool to replicate a quantum mechanical system. In this scenario, Google's team represented the coins in the box with qubits spinning upwards and downwards in a closed system; and instead of shaking the box, they applied a set of specific quantum operations that can change the state of the qubits, which they repeated many times.
This is where time crystals defy all expectations. Looking at the system after a certain number of operations, or shakes, reveals a configuration of qubits that is not random, but instead looks rather similar to the original set up.
"The first ingredient that makes up a time crystal is that it remembers what it was doing initially. It doesn't forget," says von Keyserlingk. "The coins-in-a-box system forgets, but a time crystal system doesn't."
It doesn't stop here. Shake the system an even number of times, and you'll get a similar configuration to the original one but shake it an odd number of times, and you'll get another set up, in which tails have been flipped to heads and vice-versa.
And no matter how many operations are carried out on the system, it will always flip-flop, going regularly back-and-forth between those two states.
Scientists call this a break in the symmetry of time which is why time crystals are called so. This is because the operation carried out to stimulate the system is always the same, and yet the response only comes every other shake.
"In the Google experiment, they do a set of operations on this chain of spins, then they do exactly the same thing again, and again. They do the same thing at the hundredth step that they do at the millionth step, if they go that far," says von Keyserlingk.
"So they subject the system to a set of conditions that have symmetry, and yet the system responds in a manner that breaks that symmetry. It's the same every two periods instead of every period. That's what makes it literally a time crystal."
SEE:Bigger quantum computers, faster: This new idea could be the quickest route to real world apps
The behavior of time crystals, from a scientific perspective, is fascinating: contrary to every other known system, they don't tend towards disorder and chaos. Unlike the coins in the box, which get all muddled up and settle at roughly half heads and half tails, they buck the entropy law by getting stuck in a special, time-crystal state.
In other words, they defy the second law of thermodynamics, which essentially defines the direction that all natural events take. Ponder that for a moment.
Such special systems are not easy to observe. Time crystals have been a topic of interest since 2012, when Nobel Prize-winning MIT professor Frank Wilczek started thinking about them; and the theory has been refuted, debated and contradicted many times since then.
Several attempts have been made to create and observe time crystals to date, with varying degrees of success. Only last month, a team from Delft University of Technology in the Netherlandspublished a pre-print showing that they had built a time crystal in a diamond processor, although a smaller system than the one claimed by Google.
The search giant's researchers used a chip with 20 qubits to serve as the time crystal many more, according to von Keyserlingk, than has been achieved until now, and than could be achieved with a classical computer.
Using a laptop, it is fairly easy to simulate around 10 qubits, explains von Keyserlingk. Add more than that, and the limits of current hardware are soon reached: every extra qubit requires exponential amounts of memory.
The scientist stops short of stating that this new experiment is a show of quantum supremacy. "They're not quite far enough for me to be able to say it's impossible to do with a classical computer, because there might be a clever way of putting it on a classical computer that I haven't thought of," says von Keyserlingk.
"But I think this is by far the most convincing experimental demonstration of a time crystal to date."
SEE: Quantum computing just took on another big challenge, one that could be as tough as steel
The scope and control of Google's experiment means that it is possible to look at time crystals for longer, do detailed sets of measurements, vary the size of the system, and so on. In other words, it is a useful demonstration that could genuinely advance science and as such, it could be key in showing the central role that quantum simulators will play in enabling discoveries in physics.
There are, of course, some caveats. Like all quantum computers, Google's processor still suffers from decoherence, which can cause a decay in the qubits' quantum states, and means that time crystals' oscillations inevitably die out as the environment interferes with the system.
The pre-print, however, argues that as the processor becomes more effectively isolated, this issue could be mitigated.
One thing is certain: time crystals won't be sitting in our living rooms any time soon, because scientists are yet to find a definitive useful application for them. It is unlikely, therefore, that Google's experiment was about exploring the business value of time crystals; rather, it shows what could potentially be another early application of quantum computing, and yet another demonstration of the company's technological prowess in a hotly contested new area of development.
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Google says it has created a time crystal in a quantum computer, and it's weirder than you can imagine - ZDNet
T-Hub, HCL to collaborate on Quantum Computing and Deep Tech. – The Hindu
Startup ecosystem enabler T-Hub and HCL Technologies have announced a collaboration to explore emerging technologies like Quantum Computing and DeepTech.
As part of the collaboration, T-Hub will connect HCLs Open Innovation Program eSTiP with select startups. This partnership will enable HCL to leverage T-Hubs innovation expertise and ecosystem of start-ups, corporates and investors to accelerate its open innovation initiatives, T-Hub said in a release.
Additionally, HCL will look to curate solutions of the startups for its clients and for focused programme statements, while gaining access to T-Hubs events and demo days.
T-Hub CEO Ravi Narayan said, with this partnership, we are focusing on aiding HCL in its vision of strengthening the approach of creating value for its customers and partners through some disruptive startups, whereas also providing our startups with growth opportunities.
Our partnership with T-Hub cements our ecosystem innovation journey with additional investments in Quantum Computing experiments as the technology continues to evolve", said Kalyan Kumar, Chief Technology Officer and Head-Ecosystems of HCL Technologies.
As Quantum Computing continue to mature and become commercially viable, we hope our continued engagement will bring insights into relevant startups, academia, business collaborators and other innovation ecosystem players, he added.
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T-Hub, HCL to collaborate on Quantum Computing and Deep Tech. - The Hindu
Google announces that it may have created a "time crystal" that breaks physics – Texasnewstoday.com
Researchers in Googles quantum computing division have just published a study on the preprint server ArXiv that claims to have used the companys Sycamore quantum computer to create a time crystal that goes against physics, and how big this is. It is impossible to be honest about whether it will be a deal. To do.
As Quanta Magazine explains, time crystals are stable, always fluid, and definable states repeat at predictable intervals without melting into completely random states.
Without getting stuck in the upspins and downspins of qubits (subatomic particles that can represent both 1s and 0s and are the basis of quantum computing), claiming that Google did is essentially a checker. A board with all the red parts on one side and all the black parts on the other side figuratively hit the table in such a way that it completely switched between the two sides without consuming energy.
The second law of thermodynamics says this simply cant happen, but the time crystal doesnt seem to give a bite about entropy, and now Google has seen it actually move. Not only does it say that the process that created it is scalable and its impact can be enormous.
Its hard to say that what Google researchers have done will continue to be scrutinized, as Googles results need to be repeated unpeer-reviewed.
That said, if you can recreate what Googles quantum computer has done, time crystals arent just real, they could actually be used. The impact of such technologies on computer memory alone is difficult to understand, especially for computer processing itself.
After all, its very difficult to say what The nature we know does not work that way, so it will come from a system that opposes entropy-and the entropy assumptions are built into every system we have created or observed so far. Assuming these results are maintained, its really hard to predict what you can do with it, as youve never seen anything like this, but its incredibly exciting. Mystery is.
Google announces that it may have created a time crystal that breaks physics
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Google announces that it may have created a "time crystal" that breaks physics - Texasnewstoday.com
Why it’s time to wake up to the quantum threat – Finextra – Finextra – Finextra
Quantum computing is proving to be enormously exciting for financial institutions. Already,Goldman Sachs and Deutsche Brse are exploring quantum algorithms to calculate risk model simulations 1,000 times faster than currently possible, whileBBVA is looking to quantum to optimise investment portfolio management.
But a more sinister aspect to the technology also lurks just around the corner. Because of their computing power, quantum machines will be able to smash through the mathematical algorithms underpinning all modern encryption - posing an unparalleled cybersecurity risk.
It would take a traditional computer years to break the public-key encryption relied on today by just about every financial services company, but a fully-scalable quantum computer could achieve the same in a matter of hours.
According to roadmaps laid out by major players in the field, we will have a quantum computer capable of doing this within the next decade.
Mapping the vulnerabilities
Banks and financial institutions use a range of cryptographic algorithms to ensure the security of transactions, including symmetric key cryptography (e.g. 3DES) and public key cryptography. Although public key cryptography is most exposed to the quantum threat, some types of symmetric key cryptography are also vulnerable to attack.
Core to these operations are hardware security modules (HSMs). These form a key part of the physical infrastructure that stores and generates secure keys using cryptographic asymmetric algorithms to authenticate and validate transaction information.
A chain is only as strong as its weakest link, so unless up-to-date, quantum-secure HSMs are in place, theres a risk of quantum attackers exploiting a single vulnerability to expose all data within the payments ecosystem.
What complicates the issue is that quantum decryption can be applied retrospectively.
Bad actors could begin collecting encrypted data from institutions today, with the intent to harvest now, decrypt later. Financial services companies could unknowingly be victim to an attack today, and only suffer the consequences in the future when quantum computers become available.
Thankfully, some institutions are already paying attention, with early movers likeScotiabank,JP Morgan and Visaall taking the threat seriously.
Beginning the fight back
The world began to take note of the quantum threat when, in 2016, the US National Security Agency issued an officialwarning to industry. Shortly thereafter, the US National Institute of Standards and Technology (NIST) launched a post-quantum cryptography standardisation project to lay out the path to a quantum-secure future.
NIST is running the process as a competition. The project is now in its final stages, with seven finalist algorithms left after 80 submissions from six continents. The final algorithms will be chosen in 2021, with draft standards to be published thereafter.
Its anticipated that the US government will require contractors to incorporate the new NIST standards in order to conduct business with its agencies. As critical infrastructure, financial institutions are also likely to find that quantum-secure cryptography soon becomes a technical necessity.
The path to quantum security
The migration to new cryptography standards will be a massive undertaking - one of the biggest cybersecurity shifts in decades.
The transition will be complicated for banks, too. Each institution will be starting from its own unique position, with its own legacy systems and infrastructure, and each will be vulnerable to the quantum threat in a different way.
Financial institutions can save time in the long-run by taking steps to plan their own transition before NISTs new standards are even announced.
The first step is to conduct an audit, pinpointing each and every place where encryption is being used within the organisation. This will help to identify weak spots, find areas in need of rationalisation, and so on.
NISTagrees that companies should start preparing for the transition today: 'Itis critical to begin planning for the replacement of hardware, software, and services that use public-key algorithmsnow, so the information is protected from future attacks'.
Looking ahead
Institutions have invested huge amounts of time and effort building customer trust in digital banking, and cryptography was the main mathematical tool that allowed this to happen.
Now that quantum computers threaten to break it, its time for the sector to fight back.
The security of all sensitive data, past and present, relies on it.
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Why it's time to wake up to the quantum threat - Finextra - Finextra - Finextra
Quantum Computing Market 2021-2025Top Trends, Business Opportunity, and Growth Strategy The Manomet Current – The Manomet Current
Quantum Computing Market by Component, Application, Services, and Region- Forecast to 2025
The Global Quantum Computing Market Research Report 2021-2025 is a significant source of keen information for business specialists. A report published by Market Insights Reports is an overall investigation and thorough information in regards to the market size and market elements of the Quantum Computing. It furnishes the business outline with development, historical and futuristic cost analysis, income, demand, and supply information (upcoming identifiers). The research analysts give a detailed depiction of the worth chain and its wholesaler examination. The Quantum Computing market study gives extensive information which upgrades the agreement, degree, and use of this report. This is a latest report, covering the COVID-19impact on the market.
The Quantum Computing market is expected to grow from USD 472 million in 2021 to USD 1,765 million by 2025, at a CAGR of 30.2%.
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Top Companies in the Global Quantum Computing Market are Sterimar, LABORATOIRE DE LA MER, Gerolymatos InternationaL, Humer (Laboratoire URGO), Gifrer, GSK, Nacur Healthcare
Quantum computing is gaining traction in the banking and finance services industry, which is focusing on increasing the speed of trade activities, transactions, and data processing manifolds. One of the significant potential applications of quantum computing is the simulation. Quantum computing helps in the identification of an improved and efficient way to manage financial risks. The processing time and the costs of high-quality solutions can increase exponentially if classical computers are used in financial institutions, while quantum computers can carry out speedy operations at optimized costs, resulting in cost savings and new opportunities for revenue generation
Rise in investments in quantum computing technology-
Various government agencies related to the global space and defense sector are investing increasingly in the development of quantum computing technology so that different optimization and simulation strategies can be implemented with quantum computers. Governments of various countries across the world are making significant investments to support their research institutes for the development of quantum computing technology. China is investing significantly in research and development activities related to quantum computing technology. Governments of the US and Australia, as well as of the countries of the European Union, are forging ahead with quantum computing initiatives. For instance, in August 2017, the Commonwealth Bank (CBA) joined telco firm Telstra, the Federal Government, the New South Wales Government, and the University of New South Wales (UNSW) in a USD 83 million venture to establish the first quantum computing company of Australia.
Quantum Computing Market Segmentation:
This report fragments the Global Quantum Computing Market based on Types are-
Simulation
Optimization
Sampling
Based on Application, the Global Quantum Computing Market are divided into-
Defense
Banking & Finance
Energy & Power
Chemicals
Healthcare & Pharmaceuticals
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The Quantum Computing report contains detailed country-level analysis, market revenue, market value and forecast analysis of Quantum Computing Market (2016-2027) of these regions are covered:
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Superconductivity Research: Researchers Develop New Material that Enables Quantum Information-Based Technology – Science Times
After receiving a cash grant of $25 million back in 2019 to establish the first-ever National Science Foundation, Quantum Foundry, UC Santa Barbara researchers have begun developing a new material that would enable quantum information-based technologies like quantum computing, sensing, communications, and simulations.
Today, researchers have succeeded in designing a new superconductive material, a breakthrough in materials science.
(Photo: iStock by Pexel)
In a study published in the journal Nature Materialstitled "Unconventional Chiral Charge Order in Kagome Superconductor KV3Sb5" Stephen Wilson, Foundry co-director and UCSB materials professor, highlights how the new material was developed into a prime candidate as a superconductor. A superconductor is a material in which electrical resistant fades and magnetic fields are expelled. It can also be indispensable in future quantum physics applications.
Previously, a study described a new material known as cesium vanadium antimonide (CsVSb) that was observed to exhibit a mixture of characteristics involving a patterning of self-organized charges intertwined with superconducting state. As it turns out, the unique characteristics discovered in the study were exhibited by similar materials, including KVSb and RbVSb, being the subject of the recent paper, as reported by the Current.
ALSO READ: Quantum Tech One Step Closer With New Single-Photon Switch
Wilson noted that the materials from the group of compounds are expected to host a wide variety of charge densities and wave physics since its peculiar nature is self-organized patterning of electrons and is the focus of their recent work.
The predicted charge density wave state discussed along with other exotic physics are due to the network of vanadium ions in the new material, as reported by Phys.Org. Theyform a corner-sharing network of triangles that are known as kagome lattices. KG SB was discovered as a rare metal built from these kagome lattice planes, and surprisingly, also superconducts. Some of the material's other properties have led the researchers to speculate that the charges may form small loops of currents, creating a localized magnetic field.
For years, materials scientists and physicists have predicted that a material would one day be made to exhibit the form of charge density wave that breaks the time-reversal symmetry.
Wison explains that this means that the magnetic moment is broken by certain patterns on the kagome lattice, where the charge moves around a tiny loop. The loop is similar to a current loop, which will render a magnetic field. This state would be a new electronic state of matter that would have significant consequences on underlying unconventional superconductivity.
This is the kind of scientific work for which the Quantum Foundry was established for. It plays a lead role in developing new materials, with its researchers discovering new superconductivity and finding signatures that indicate the repossession of charge density waves in newly developed materials. Now, the materials are studied worldwide due to the numerous aspects of interests of various communities.
If KVSb becomes what is suspected of being, it could be utilized to create a topological qubit that is useful and necessary in quantum information applications, such as quantum computing and sensing.
RELATED ARTICLE: Quantum Error Computing Source Identified Thanks to Sydney University Machine Learning
Check out more news and information on Quantum Physicsin Science Times.
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Superconductivity Research: Researchers Develop New Material that Enables Quantum Information-Based Technology - Science Times
AI, quantum computing and other technologies poised to transform healthcare – Healthcare Finance News
Photo: Al David Sacks/Getty Images
The COVID-19 pandemic has created numerous challenges in healthcare, but challenges can sometimes breed innovation. Technological innovation in particular is poised to change the way care is delivered, driving efficiency in the process. Efficiency will be key as hospitals and health systems look to recover from the initial, devastating wave of the pandemic.
Ryan Hodgin, chief technology officer for IBM Global Healthcare, and Kate Huey, partner at IBM Healthcare, will speak about some of these technological innovations in their digital HIMSS21 session, "Innovation Driven Resiliency: Redefining What's Possible."
The technology in question can encompass telehealth, artificial intelligence, automation, blockchain, chatbots, apps and other elements that have become mainstays of healthcare during the course of the pandemic.
In a way, science fiction is becoming science fact: Technologies that were once in the experimental phase are now coming to life and driving innovation, particularly quantum computing. The power of quantum computing has the potential to transform healthcare just by sheer force of its impressive computational power.
One of the big factors accelerating technological innovation is the healthcare workforce, which has been placed under enormous stress over the past 18 months, with many doctors and clinicians reporting burnout or feelings of being overwhelmed. These technologies promise to reduce the burden being felt by providers.
Importantly, they also promise to more actively engage healthcare consumers, who increasingly expect healthcare to be as user friendly and experience driven as their favorite apps or online shopping portals.
Hodgin and Huey will speak more on the topic when their digital session debuts on Tuesday, August 10, from 11:45 a.m. to12:15 p.m.
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AI, quantum computing and other technologies poised to transform healthcare - Healthcare Finance News
Data Analytica Just Released Their New Quantum Computing Simulation Software – PR.com
Austin, TX, August 04, 2021 --(PR.com)--The Data Analytica quantum simulator is available now. By following the source code, the actual implementation of the Hadamard, Pauli, or CNOT (to name a few) gates can be studied. The same holds true for the quantum wave and how a measurement is applied. The simulator allows tracking every quantum state and is able to visualize the developed quantum circuit diagrams. Data Analytica has already used the simulator to study quantum neural networks and quantum random walks (for quantum robotics related projects).
Data Analytica focuses on quantum & classical data projects. The company's core business is in AI related ventures in robotics, physics, chemistry, finance and research. Quantum computing and AI are both transformational technologies, and some classical AI algorithms do require quantum computing to achieve significant improvements in time and quality.
Data Analytica has been working in quantum mechanics since the late 1980s, and as a company, has a combined experience of over 150 years in AI, classical computing, as well as quantum computing. The firm has its roots in IBM research, CERN, and MIT and balances its workload between actual hardware & software design/development and research.
It is paramount that companies educate themselves now on what quantum computing implies and how it will change their business landscape. To aid in this journey, Data Analytica offers next to quantum consulting, classical as well as quantum computing classes that are offered either on-site or over the Internet.
Please contact Data Analytica with any questions. All the classes can be custom-tailored, and all of Data Analytica's hardware & software is designed and developed in the US & the UK.
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Data Analytica Just Released Their New Quantum Computing Simulation Software - PR.com
Q-CTRL, University of Sydney Devise Machine Learning Technique Used to Pinpoint Quantum Errors – HPCwire
July 29, 2021 Researchers at the University of Sydney and quantum control startup Q-CTRL today announced a way to identify sources of error in quantum computers through machine learning, providing hardware developers the ability to pinpoint performance degradation with unprecedented accuracy and accelerate paths to useful quantum computers.
A joint scientific paper detailing the research, titled Quantum Oscillator Noise Spectroscopy via Displaced Cat States, has been published in the Physical Review Letters, the worlds premier physical science research journal and flagship publication of the American Physical Society (APS Physics).
Focused on reducing errors caused by environmental noisethe Achilles heel of quantum computingthe University of Sydney team developed a technique to detect the tiniest deviations from the precise conditions needed to execute quantum algorithms using trapped ion and superconducting quantum computing hardware. These are the core technologies used by world-leading industrial quantum computing efforts at IBM, Google, Honeywell, IonQ, and others.
To pinpoint the source of the measured deviations, Q-CTRL scientists developed a new way to process the measurement results using custom machine-learning algorithms. In combination with Q-CTRLs existing quantum control techniques, the researchers were also able to minimize the impact of background interference in the process. This allowed easy discrimination between real noise sources that could be fixed and phantom artifacts of the measurements themselves.
Combining cutting-edge experimental techniques with machine learning has demonstrated huge advantages in the development of quantum computers, said Dr. Cornelius Hempel of ETH Zurich who conducted the research while at the University of Sydney. The Q-CTRL team was able to rapidly develop a professionally engineered machine learning solution that allowed us to make sense of our data and provide a new way to see the problems in the hardware and address them.
Q-CTRL CEO and University of Sydney professor Michael J. Biercuk said, The ability to identify and suppress sources of performance degradation in quantum hardware is critical to both basic research and industrial efforts building quantum sensors and quantum computers.
Quantum control, augmented by machine learning, has shown a pathway to make these systems practically useful and dramatically accelerate R&D timelines, he said.
The published results in a prestigious, peer-reviewed journal validate the benefit of ongoing cooperation between foundational scientific research in a university laboratory and deep-tech startups. Were thrilled to be pushing the field forward through our collaboration.
More information:
Alistair R. Milne et al, Quantum Oscillator Noise Spectroscopy via Displaced Cat States,Physical Review Letters(2021).DOI: 10.1103/PhysRevLett.126.250506
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Source: University of Sydney
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Q-CTRL, University of Sydney Devise Machine Learning Technique Used to Pinpoint Quantum Errors - HPCwire
Q-CTRL: machine learning technique to pinpoint quantum errors – News – The University of Sydney
Professor Michael Biercuk is CEO of quantum tech startup Q-CTRL.
Researchers at the University of Sydney and quantum control startup Q-CTRL have announced a way to identify sources of error in quantum computers through machine learning, providing hardware developers the ability to pinpoint performance degradation with unprecedented accuracy and accelerate paths to useful quantum computers.
A joint scientific paper detailing the research, titled Quantum Oscillator Noise Spectroscopy via Displaced Cat States, has been published inPhysical Review Letters, the worlds premier physical science research journal and flagship publication of the American Physical Society (APS Physics).
Focused on reducing errors caused by environmental noise - the Achilles heel of quantum computing - the University of Sydney team developed a technique to detect the tiniest deviations from the precise conditions needed to execute quantum algorithms using trapped ion and superconducting quantum computing hardware. These are the core technologies used by world-leading industrial quantum computing efforts at IBM, Google, Honeywell, IonQ, and others.
The University team is based at the Quantum Control Laboratory led by Professor Michael Biercukin the Sydney Nanoscience Hub.
Topinpoint the source of the measured deviations, Q-CTRL scientists developed a new way to process the measurement results using custom machine-learning algorithms. In combination with Q-CTRLs existing quantum control techniques, the researchers were also able to minimise the impact of background interference in the process. This allowed easy discrimination between real noise sources that could be fixed and phantom artefacts of the measurements themselves.
Combining cutting-edge experimental techniques with machine learning has demonstrated huge advantages in the development of quantum computers, said Dr Cornelius Hempel of ETH Zurich who conducted the research while at the University of Sydney. The Q-CTRL team was able to rapidly develop a professionally engineered machine learning solution that allowed us to make sense of our data and provide a new way to see the problems in the hardware and address them.
Q-CTRL CEO Professor Biercuk said: The ability to identify and suppress sources of performance degradation in quantum hardware is critical to both basic research and industrial efforts building quantum sensors and quantum computers.
Quantum control, augmented by machine learning, has shown a pathway to make these systems practically useful and dramatically accelerate R&D timelines, he said.
The published results in a prestigious, peer-reviewed journal validate the benefit of ongoing cooperation between foundational scientific research in a university laboratory and deep-tech startups. Were thrilled to be pushing the field forward through our collaboration.
Q-CTRL was spun-out of the University of Sydney by Professor Michael Biercuk from the School of Physics. The startup builds quantum control infrastructure software for quantum technology end-users and R&D professionals across all applications.
Q-CTRL has assembled the worlds foremost team of expert quantum-control engineers, providing solutions to many of the most advanced quantum computing and sensing teams globally. Q-CTRL is funded by SquarePeg Capital, Sierra Ventures, Sequoia Capital China, Data Collective, Horizons Ventures, Main Sequence Ventures and In-Q-Tel. Q-CTRL has international headquarters in Sydney, Los Angeles, and Berlin.
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Q-CTRL: machine learning technique to pinpoint quantum errors - News - The University of Sydney