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COLLEGE PARK, Md., May 12, 2023--(BUSINESS WIRE)--IonQ, Inc. (NYSE: IONQ), a leader in quantum computing, today announced that Thomas Kramer, Chief Financial Officer, and Jordan Shapiro, Vice President of FP&A and Head of Investor Relations, will participate in a fireside chat at the 18th Annual Needham Technology & Media Conference at the Intercontinental New York Times Square in New York City on Tuesday, May 16, 2023. The Companys discussion will begin at 10:15 AM ET and the webcast link will be available on our Companys website here, or directly here.

About IonQIonQ, Inc. is a leader in quantum computing, with a proven track record of innovation and deployment. IonQs current generation quantum computer, IonQ Forte, is the latest in a line of cutting-edge systems, boasting an industry-leading 29 algorithmic qubits. Along with record performance, IonQ has defined what it believes is the best path forward to scale.

IonQ is the only company with its quantum systems available through the cloud on Amazon Braket, Microsoft Azure and Google Cloud, as well as through direct API access. IonQ was founded in 2015 by Christopher Monroe and Jungsang Kim based on 25 years of pioneering research. To learn more, visit http://www.ionq.com.

View source version on businesswire.com: https://www.businesswire.com/news/home/20230512005006/en/

Contacts

IonQ Media:press@ionq.co

IonQ Investor:investors@ionq.co

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IonQ Announces Participation in 18th Annual Needham Technology & Media Conference - Yahoo Finance

Summary: For the first time, Google Quantum AI has observed the peculiar behavior of non-Abelian anyons, particles with the potential to revolutionize quantum computing by making operations more resistant to noise.

Non-Abelian anyons have the unique feature of retaining a sort of memory, allowing us to determine when they have been exchanged, even though they are identical.

The team successfully used these anyons to perform quantum computations, opening a new path towards topological quantum computation. This significant discovery could be instrumental in the future of fault-tolerant topological quantum computing.

Key Facts:

Source: Google Quantum AI

Our intuition tells us that it should be impossible to see whether two identical objects have been swapped back and forth, and for all particles observed to date, that has been the case. Until now.

Non-Abelian anyons the only particles that have been predicted to break this rule have been sought for their fascinating features and their potential to revolutionize quantum computing by making the operations more robust to noise.

Microsoft and others have chosen this approach for their quantum computing effort. But after decades of efforts by researchers in the field, observing non-Abelian anyons and their strange behavior has proven challenging, to say the least.

In apaperposted on the preprint server Arxiv.org last October andpublishedinNaturetoday, researchers at Google Quantum AI announced that they had used one of their superconducting quantum processors to observe the peculiar behavior of non-Abelian anyons for the first time ever.

They also demonstrated how this phenomenon could be used to perform quantum computations. Earlier this week the quantum computing company Quantinuum released another study on the topic, complementing Googles initial discovery.

These new results open a new path toward topological quantum computation, in which operations are achieved by winding non-Abelian anyons around each other like strings in a braid.

Google Quantum AI team member and first author of the manuscript, Trond I. Andersen says, Observing the bizarre behavior of non-Abelian anyons for the first time really highlights the type of exciting phenomena we can now access with quantum computers.

Imagine youre shown two identical objects and then asked to close your eyes. Open them again, and you see the same two objects. How can you determine if they have been swapped? Intuition says that if the objects are truly identical, there is no way to tell.

Quantum mechanics supports this intuition, but only in our familiar three-dimensional world. If the identical objects are restricted to only move in a two-dimensional plane, sometimes, our intuition can fail and quantum mechanics allows for something bizarre: non-Abelian anyons retain a sort of memory it is possible to tell when two of them have been exchanged, despite being completely identical.

This memory of the non-Abelian anyons can be thought of as a continuous line in space-time: the particles so-called world-line. When two non-Abelian anyons are exchanged, their world-lines wrap around one another. Wrap them in the right way, and the resulting knots and braids form the basic operations of a topological quantum computer.

The team started by preparing their superconducting qubits in an entangled quantumstate that is well represented as a checkerboard a familiar configuration for the Google team, who recentlydemonstrated a milestone in quantum error correctionusing this setup. In the checkerboard arrangement, related but less useful particles called Abelian anyons can emerge.

To realize non-Abelian anyons, the researchers stretched and squashed the quantum state of their qubits to transform the checkered pattern into oddly shaped polygons. Particular vertices in these polygons hosted the non-Abelian anyons.

Using aprotocoldeveloped by Eun-Ah Kim at Cornell University and former postdoc Yuri Lensky, the team could then move the non-Abelian anyons around by continuing to deform the lattice and shifting the locations of the non-Abelian vertices.

In a series of experiments, the researchers at Google observed the behavior of these non-Abelian anyons and how they interacted with the more mundane Abelian anyons.

Weaving the two types of particles around one another yielded bizarre phenomena particles mysteriously disappeared, reappeared and shapeshifted from one type to another as they wound around one another and collided.

Most importantly, the team observed the hallmark of non-Abelian anyons: when two of them were swapped, it caused a measurable change in the quantum state of their system a striking phenomenon that had never been observed before.

Finally, the team demonstrated how braiding of non-Abelian anyons might be used in quantum computations. By braiding several non-Abelian anyons together, they were able to create a well-known quantum entangled state called the Greenberger-Horne-Zeilinger (GHZ) state.

The physics of non-Abelian particles is also at the core of the approach that Microsoft has chosen for their quantum computing effort. While they are attempting to engineer material systems that intrinsically host these anyons, the Google team has now shown that the same type of physics can be realized on their superconducting processors.

This week the quantum computing company Quantinuum released an impressive complementary study that also demonstrated non-Abelian braiding, in this case using a trapped-ion quantum processor. Andersen is excited to see other quantum computing groups observing non-Abelian braiding as well.

He says, It will be very interesting to see how non-Abelian anyons are employed in quantum computing in the future, and whether their peculiar behavior can hold the key to fault-tolerant topological quantum computing.

Author: Katie McCormickSource: Google Quantum AIContact: Katie McCormick Google Quantum AIImage: The image is credited to Neuroscience News

Original Research: Open access.Non-Abelian braiding of graph vertices in a superconducting processor by Trond I. Andersen et al. Nature

Abstract

Non-Abelian braiding of graph vertices in a superconducting processor

Indistinguishability of particles is a fundamental principle of quantum mechanics. For all elementary and quasiparticles observed to dateincluding fermions, bosons and Abelian anyonsthis principle guarantees that the braiding of identical particles leaves the system unchanged.

However, in two spatial dimensions, an intriguing possibility exists: braiding of non-Abelian anyons causes rotations in a space of topologically degenerate wavefunctions. Hence, it can change the observables of the system without violating the principle of indistinguishability.

Despite the well-developed mathematical description of non-Abelian anyons and numerous theoretical proposals, the experimental observation of their exchange statistics has remained elusive for decades. Controllable many-body quantum states generated on quantum processors offer another path for exploring these fundamental phenomena.

Whereas efforts on conventional solid-state platforms typically involve Hamiltonian dynamics of quasiparticles, superconducting quantum processors allow for directly manipulating the many-body wavefunction by means of unitary gates.

Building on predictions that stabilizer codes can host projective non-Abelian Ising anyons, we implement a generalized stabilizer code and unitary protocolto create and braid them.

This allows us to experimentally verify the fusion rules of the anyons and braid them to realize their statistics. We then study the prospect of using the anyons for quantum computation and use braiding to create an entangled state of anyons encoding three logical qubits.

Our work provides new insights about non-Abelian braiding and, through the future inclusion of error correction to achieve topological protection, could open a path towards fault-tolerant quantum computing.

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Google Quantum AI Breaks Ground: Unraveling the Mystery of Non-Abelian Anyons - Neuroscience News

Rigetti Computing, Inc.

Fourth Generation Ankaa-1 Chip Demonstrates Median 2-Qubit Gate Fidelity and Gate Speed Improvements Superior to Aspen M-3

BERKELEY, Calif., May 11, 2023 (GLOBE NEWSWIRE) -- Rigetti Computing, Inc. (Nasdaq: RGTI) (Rigetti or the Company), a pioneer in full-stack quantum-classical computing, today announced its financial results for the first quarter ended March 31, 2023.

First Quarter 2023 Financial Highlights

Total revenues for the three months ended March 31, 2023 were $2.2 million, compared to $2.1 million in the same period of 2022.

Total operating expenses for the three months ended March 31, 2023 were $23.7 million, compared to $27.0 million in the same period of 2022.

Operating loss for the three months ended March 31, 2023 was $22.0 million, compared to $25.3 million in the same period of 2022.

Net loss for the three months ended March 31, 2023 was $23.4 million or $0.19 per share, compared to $17.6 million or $0.33 per share in the same period of 2022.

As of March 31, 2023, cash, cash equivalents and available-for-sale securities totaled $122.0 million.

Im pleased to report that we believe we are on track and progressing toward the nearer-term strategic priorities and technology roadmap we announced in February 2023. Following the implementation of our updated business strategy we announced in February 2023, which is designed to improve our focus, operating efficiency and preserve cash resources, we are starting to see positive impacts, said Dr. Subodh Kulkarni, Rigetti Chief Executive Officer.

Technology Highlights

The Companys next generation 84-qubit (Ankaa-1) system, which is built using new architecture of a square lattice and tunable couplers was deployed internally within the Company for testing in March 2023, is achieving 96-97% median 2-qubit fidelity and 65-70 nanosecond gate speeds based on the Companys internal testing. The Companys prior generation 80-qubit Aspen M-3 system achieved 94-95% median 2-qubit fidelity and 185-190 nanosecond gate speeds.

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We believe these metrics demonstrate the superior performance of Ankaa-1 as compared to Aspen M-3 and confirm our belief that the chip used in the Ankaa-1 system is a leap forward in architectural design, said Dr. Kulkarni.

As previously disclosed, the Company currently anticipates launching Ankaa-1 to select customers in mid-2023, as we continue to work to improve Ankaa-1 performance with the goal of reaching median 2-qubit fidelity of 98% to support the anticipated Ankaa-2 84-qubit system. The Companys Ankaa-2 84-qubit system, with anticipated improvements in design and performance, is expected to be deployed and made available to external customers in the fourth quarter of 2023. The Company remains committed to working to achieve 2-qubit fidelity of 99% with the anticipated Ankaa-2, which we expect to be achieved in 2024, and development of the 336-qubit Lyra system thereafter.

Rigetti recently released the results of application and development work that demonstrates the progress the Company is making towards improving its hardware and software capabilities, which we believe reflects advancement towards potentially achieving narrow quantum advantage. Using quantum-inspired classical simulations, we were able to demonstrate the computational power of quantum methods compared to the classic alternatives.

Recession forecasting with Moodys and Imperial College London: At the Quantum Tech conference in April, Rigetti presented the results of new application work undertaken by Rigetti that illustrates a novel approach to addressing the problem of forecasting recessions using cutting edge machine learning techniques that combine classical signature kernel methods with quantum-enhanced data transformations. By using noiseless quantum simulation, we demonstrate that the quantum-enhanced version of our model outperforms the classical version as well as standard models used for this class of problems in accurately predicting a recession.

A new quantum algorithm for solving optimization problems with NASA: As part of Rigettis ongoing DARPA project we released a manuscript that presents a new quantum algorithm that provides performance assurances even with noise and outperforms several classical and quantum approaches for solving the same problems.

Outlook

At our current stage of development, we believe that executing toward our roadmap and achieving our technology milestones are key to fueling our goal of achieving quantum advantage. We remain focused on meeting our objectives, said Dr. Kulkarni.

Based on its current operating plan, Rigetti expects to have cash, cash equivalents, and available-for-sale securities of between $65-$75 million at the end of 2023. At this time, based on its current operating plan, Rigetti anticipates that it will need to raise additional funding by late 2024 or early 2025 to continue its research and development efforts and achieve its business objectives. This estimate reflects Rigettis current business plan that is based on assumptions that may prove to be wrong, and Rigetti could use its available capital resources sooner than it currently expects.

Conference Call and Webcast

Rigetti will host a conference call later today at 5:00 p.m. ET, or 2:00 p.m. PT, to discuss its first quarter 2023 financial results.

You can listen to a live audio webcast of the conference call at https://edge.media-server.com/mmc/p/tuef4569or the "Events & Presentations" section of the Company's Investor Relations website athttps://investors.rigetti.com/. A replay of the conference call will be available at the same locations following the conclusion of the call for one year.

To participate in the live call, you must register using the following link: https://register.vevent.com/register/BIdb44624a57824563b38c0a1afe3736a1.Once registered, you will receive dial-in numbers and a unique PIN number. When you dial in, you will input your PIN and be routed into the call. If you register and forget your PIN, or lose the registration confirmation email, simply re-register to receive a new PIN.

About Rigetti

Rigetti is a pioneer in full-stack quantum computing. The Company has operated quantum computers over the cloud since 2017 and serves global enterprise, government, and research clients through its Rigetti Quantum Cloud Services platform. The Companys proprietary quantum-classical infrastructure provides high performance integration with public and private clouds for practical quantum computing. Rigetti has developed the industrys first multi-chip quantum processor for scalable quantum computing systems. The Company designs and manufactures its chips in-house at Fab-1, the industrys first dedicated and integrated quantum device manufacturing facility. Learn more atwww.rigetti.com.

Cautionary Language Concerning Forward-Looking Statements

This press release includes forward-looking statements within the meaning of Section 27A of the Securities Act of 1933 and Section 21E of the Securities Exchange Act of 1934 relating to the Companys updated business plan, including with respect to its objectives and its technology roadmap, including its ability to achieve milestones including with respect to the Ankaa 84-qubit system and the achievement of target gate fidelities, including at least median 2-qubit fidelity of 98% on Ankaa-1 and at least 99% median 2-qubit gate fidelity on the anticipated Ankaa-2 on the anticipated timing or at all; the Companys expectations with respect to the timing of next generation systems; the Companys ability to scale to develop the Lyra 336-qubit system and develop practical applications on the anticipated timing or at all; the Companys expectations with respect to the anticipated stages of quantum technology maturation, including its ability to develop a quantum computer that is able to solve a practical, operationally relevant problem significantly better, faster, or cheaper than a current classical solution and achieve narrow quantum advantage on the anticipated timing or at all; the Company's expectations with respect to the reduction in force, including anticipated benefits including anticipated reduction of operating expenses, anticipated preservation of available cash resources and anticipated expenses and charges associated with the reduction in force; the Companys development activities and the ability of technology to solve problems; expectations regarding cash, cash equivalents and available-for-sale securities at December 31, 2023 and the time by which the Company expects it will need to raise additional funding, including expectations with respect to capital expenditures; expectations with respect to management transitions; expectations with respect to the potential of the Company, including the potential for the Company to contribute value; and the potential of quantum computing. These forward-looking statements are based upon estimates and assumptions that, while considered reasonable by the Company and its management, are inherently uncertain. Factors that may cause actual results to differ materially from current expectations include, but are not limited to: the Companys ability to achieve milestones, technological advancements, including with respect to its technology roadmap, help unlock quantum computing, and develop practical applications; the ability of the Company to obtain government contractors successfully and in a timely manner; the potential of quantum computing; the ability of the Company to obtain government contracts and the availability of government funding; the ability of the Company to expand its QCaaS business; the success of the Companys partnerships and collaborations; the Companys ability to accelerate its development of multiple generations of quantum processors; the outcome of any legal proceedings that may be instituted against the Company or others; the ability to meet stock exchange listing standards; the ability to recognize the anticipated benefits of the business combination with Supernova, which may be affected by, among other things, competition, the ability of the Company to grow and manage growth profitably, maintain relationships with customers and suppliers and attract and retain management and key employees; costs related to operating as a public company; changes in applicable laws or regulations; the possibility that the Company may be adversely affected by other economic, business, or competitive factors; the Companys estimates of expenses and profitability; the evolution of the markets in whichthe Company competes; the ability of the Company to execute on its technology roadmap; the ability of the Company to implement its strategic initiatives, expansion plans and continue to innovate its existing services; the expected use of proceeds from the Companys past and future financings or other capital; the sufficiency of the Companys cash resources; macroeconomic conditions, including unfavorable conditions in the Companys industry, the global economy or global supply chain, including financial and credit market fluctuations and uncertainty, rising inflation and interest rates, impacts of the COVID-19 pandemic, disruptions in banking systems, increased costs, international trade relations, political turmoil, natural catastrophes, warfare (such as the ongoing military conflict between Russia and Ukraine and related sanctions against Russia), and terrorist attacks; and other risks and uncertainties set forth in the section entitled Risk Factors and Cautionary Note Regarding Forward-Looking Statements in the Companys Annual Report on Form 10-K for the year ended December 31, 2022, the Companys future filings with the SEC, including the Companys Quarterly Report on Form 10-Q for the three months ended March 31, 2023, and other documents filed by the Company from time to time with the SEC. These filings identify and address other important risks and uncertainties that could cause actual events and results to differ materially from those contained in the forward-looking statements. Forward-looking statements speak only as of the date they are made. Readers are cautioned not to put undue reliance on forward-looking statements, and the Company assumes no obligation and does not intend to update or revise these forward-looking statements other than as required by applicable law. The Company does not give any assurance that it will achieve its expectations.

ContactsRigetti Computing Investor Contact:IR@Rigetti.com

Rigetti Computing Media Contact:press@rigetti.com

INTERIM CONDENSED CONSOLIDATED BALANCE SHEETSRIGETTI COMPUTING, INC. (Unaudited)

March 31,

December 31,

(In thousands, except share information)

2023

2022

ASSETS

Cash and cash equivalents

$

26,117

$

57,888

Available-for-sale investments

95,849

84,923

Accounts receivable

5,320

6,235

Prepaid expenses and other current assets

1,756

2,450

Forward contract - assets

1,129

2,229

Deferred offering costs

94

742

Total current assets

130,265

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Rigetti Computing Reports First Quarter 2023 Results - Yahoo Finance

An IBM quantum computer that uses superconducting qubits

IBM

For the first time, asuperconducting circuit has passed a Bell test, the premier test in physics to confirm a systems quantum behaviour. These circuits are used in quantum computers, and this test proves that their quantum bits are truly entangled.

When two particles are entangled, measuring the characteristics of one instantly affects the measured characteristics of the other in what is called a non-local correlation. When this happens, it means the effects of the entanglement must travel faster than light. The test for this strange quantum effect is called Bells inequality, which sets a limit on how often particles can end up in the same state by chance without the presence of actual entanglement. Violating Bells inequality is proof that a pair of particles are, in fact, entangled.

Bell tests have been performed in many systems, but never on a superconducting circuit. For the test, the two entangled systems have to be far enough apart that a signal could not have travelled between them at the speed of light in the time it takes to measure both systems. This is difficult to test in a superconducting circuit, because the whole thing has to be kept at temperatures close to absolute zero. For the first time, Simon Storz at the Swiss Federal Institute of Technology in Zurich and his colleagues have managed to perform a Bell test on such a circuit.

They connected the two entangled parts of the circuit, called quantum bits or qubits, using microwaves sent through a chilled 30-metre-long aluminium tube, while keeping each qubit in its own individual refrigerator. They then used a random number generator to decide what sort of measurement to make on the qubits to avoid any human bias.

The researchers made more than 4 million measurements at a rate of 12,500 measurements per second a speed necessary to make sure each pair of measurements occurred faster than light could travel down the tube between the two qubits. Analysing all of those data points together, they found with high certainty that Bells inequality was violated and the qubits were truly undergoing what Albert Einstein termed spooky action at a distance, as was expected.

The test confirms the platforms ability to exploit these unique quantum features for technological applications, says Storz. The success of connecting the qubits across 30 metres is particularly promising for quantum computing and encryption, he says. This is a potential path towards scaling up superconducting circuit-based quantum computers, for instance in future quantum supercomputer-like centres.

Topics:

Originally posted here:
Superconducting qubits have passed a key quantum test - New Scientist

by MidJourney v5

Quantum computing and artificial intelligence (AI) are two of the most exciting and cutting-edge fields in science and technology today. But what happens when they meet? How will they transform our world and our lives? As an enthusiast of quantum computing and artificial intelligence, I have been pondering these questions.

Quantum computing, the hardware, is based on the principles of quantum mechanics, which describe the behaviour of subatomic particles. Unlike classical computers, which use bits that can only be in one of two states (0 or 1), quantum computers use qubits that can be in a superposition of both states at the same time. This allows them to perform multiple calculations simultaneously and solve problems intractable for conventional computers.

Artificial intelligence, the software, is the branch of computer science that aims to create systems that can perform tasks that typically require human intelligence, such as reasoning, learning, decision-making, and natural language processing. AI has made tremendous progress in recent years, thanks to advances in algorithms, data, and hardware. AI applications are now ubiquitous in our society, from personal assistants to self-driving cars to facial recognition.

The convergence of these two domains could lead to unprecedented breakthroughs. A particularly intriguing possibility is the advent of superintelligence, which refers to an agent that possesses intelligence far surpassing that of the brightest and most gifted human minds. Quantum machine learning, a fusion of quantum computing and AI, could potentially accelerate the learning process of AI systems, allowing them to assimilate and process information at a rate far beyond whats possible today. This could be the key to unlocking superintelligence.

In practical terms, quantum machine learning could enable faster and more accurate analysis of large and complex datasets, such as genomic or social media data. Another fascinating area where superintelligence could make a substantial difference is climate modelling. Accurate climate prediction requires the analysis of vast amounts of data and the modelling of complex systems, tasks that are computationally demanding for classical computers. But super-intelligent quantum computers could significantly improve the accuracy and timeliness of climate models.

Quantum optimisation, aided by superintelligence, could help find optimal solutions for complex problems, such as logistics, scheduling, or drug discovery. Traditionally, discovering and developing new drugs is a long and expensive process. Scientists must synthesise thousands of compounds and test them on biological targets to see if they have the desired effect. However, with quantum AI superintelligence, we could simulate the interactions of molecules at a quantum level, accelerating the drug discovery process and reducing its cost.

Yet, many challenges and risks are associated with the pursuit of superintelligence through quantum computing and artificial intelligence. Quantum computers are still very difficult to build and operate, and require extremely low temperatures and high precision to function properly. They are also prone to errors and noise, which can affect their performance and reliability.

Moreover, the potential for superintelligence also comes with significant ethical and social issues. As these systems would surpass human intelligence, ensuring they act in alignment with human values and interests becomes paramount and presents a huge ethical challenge.

These two fields will revolutionise our world but also require careful consideration and regulation. As we navigate the path forward, we must foster an open dialogue between scientists, policymakers, ethicists, and the public, to ensure that the benefits of quantum AI and superintelligence are maximised and its risks are minimised. To avoid becoming irrelevant, we must invest in education and training to prepare our workforce for the quantum future. Only then can we truly harness the power of quantum AI to transform our world for the better.

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Quantum Computing Meets AI: Harnessing Their Convergence for a ... - Medium