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COLLEGE PARK, Md.--(BUSINESS WIRE)--IonQ (NYSE: IONQ), an industry leader in quantum computing, today announced promising early results with its partner, GE Research, to explore the benefits of quantum computing for modeling multi-variable distributions in risk management.

Leveraging a Quantum Circuit Born Machine-based framework on standardized, historical indexes, IonQ and GE Research, the central innovation hub for the General Electric Company (NYSE: GE), were able to effectively train quantum circuits to learn correlations among three and four indexes. The prediction derived from the quantum framework outperformed those of classical modeling approaches in some cases, confirming that quantum copulas can potentially lead to smarter data-driven analysis and decision-making across commercial applications. A blog post further explaining the research methodology and results is available here.

Together with GE Research, IonQ is pushing the boundaries of what is currently possible to achieve with quantum computing, said Peter Chapman, CEO and President, IonQ. While classical techniques face inefficiencies when multiple variables have to be modeled together with high precision, our joint effort has identified a new training strategy that may optimize quantum computing results even as systems scale. Tested on our industry-leading IonQ Aria system, were excited to apply these new methodologies when tackling real world scenarios that were once deemed too complex to solve.

While classical techniques to form copulas using mathematical approximations are a great way to build multi-variate risk models, they face limitations when scaling. IonQ and GE Research successfully trained quantum copula models with up to four variables on IonQs trapped ion systems by using data from four representative stock indexes with easily accessible and variating market environments.

By studying the historical dependence structure among the returns of the four indexes during this timeframe, the research group trained its model to understand the underlying dynamics. Additionally, the newly presented methodology includes optimization techniques that potentially allow models to scale by mitigating local minima and vanishing gradient problems common in quantum machine learning practices. Such improvements demonstrate a promising way to perform multi-variable analysis faster and more accurately, which GE researchers hope lead to new and better ways to assess risk with major manufacturing processes such as product design, factory operations, and supply chain management.

As we have seen from recent global supply chain volatility, the world needs more effective methods and tools to manage risks where conditions can be so highly variable and interconnected to one another, said David Vernooy, a Senior Executive and Digital Technologies Leader at GE Research. The early results we achieved in the financial use case with IonQ show the high potential of quantum computing to better understand and reduce the risks associated with these types of highly variable scenarios.

Todays results follow IonQs recent announcement of the companys new IonQ Forte quantum computing system. The system features novel, cutting-edge optics technology that enables increased accuracy and further enhances IonQs industry leading system performance. Partnerships with the likes of GE Research and Hyundai Motors illustrate the growing interest in our industry-leading systems and feeds into the continued success seen in Q1 2022.

About IonQ

IonQ, Inc. is a leader in quantum computing, with a proven track record of innovation and deployment. IonQ's current generation quantum computer, IonQ Forte, is the latest in a line of cutting-edge systems, including IonQ Aria, a system that boasts industry-leading 20 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.

IonQ Forward-Looking Statements

This press release contains certain forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. Some of the forward-looking statements can be identified by the use of forward-looking words. Statements that are not historical in nature, including the words anticipate, expect, suggests, plan, believe, intend, estimates, targets, projects, should, could, would, may, will, forecast and other similar expressions are intended to identify forward-looking statements. These statements include those related to IonQs ability to further develop and advance its quantum computers and achieve scale; IonQs ability to optimize quantum computing results even as systems scale; the expected launch of IonQ Forte for access by select developers, partners, and researchers in 2022 with broader customer access expected in 2023; IonQs market opportunity and anticipated growth; and the commercial benefits to customers of using quantum computing solutions. Forward-looking statements are predictions, projections and other statements about future events that are based on current expectations and assumptions and, as a result, are subject to risks and uncertainties. Many factors could cause actual future events to differ materially from the forward-looking statements in this press release, including but not limited to: market adoption of quantum computing solutions and IonQs products, services and solutions; the ability of IonQ to protect its intellectual property; changes in the competitive industries in which IonQ operates; changes in laws and regulations affecting IonQs business; IonQs ability to implement its business plans, forecasts and other expectations, and identify and realize additional partnerships and opportunities; and the risk of downturns in the market and the technology industry including, but not limited to, as a result of the COVID-19 pandemic. The foregoing list of factors is not exhaustive. You should carefully consider the foregoing factors and the other risks and uncertainties described in the Risk Factors section of IonQs Quarterly Report on Form 10-Q for the quarter ended March 31, 2022 and other documents filed by IonQ from time to time with the Securities and Exchange Commission. 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 IonQ assumes no obligation and does not intend to update or revise these forward-looking statements, whether as a result of new information, future events, or otherwise. IonQ does not give any assurance that it will achieve its expectations.

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IonQ and GE Research Demonstrate High Potential of Quantum Computing for Risk Aggregation - Business Wire

Israeli Team8 venture group officially opened this years Cyber Week with an event that took place in Tel Aviv on Sunday. The event, which included international guests and cybersecurity professionals, showcased the country and the industry as a powerhouse in relation to Startup Nation.

Opening remarks were made by Niv Sultan, star of Apple TVs Tehran, who also moderated the event. She then welcomed Gili Drob-Heinstein, Executive Director at the Blavatnik Interdisciplinary Cyber Research Center (ICRC) at Tel Aviv University, and Nadav Zafrir, Co-founder of Team8 and Managing Partner of Team8 Platform to the stage.

I would like to thank the 100 CSOs who came to stay with us, Zafrir said on stage. Guests from around the world had flown into Israel and spent time connecting with one another ahead of the official start of Cyber Week on Monday. Team8 was also celebrating its 8th year as a VC, highlighting the work it has done in the cybersecurity arena.

The stage was then filled with Admiral Mike Rogers and Nir Minerbi, Co-founder and CEO of Classiq, who together discussed The Quantum Opportunity in computing. Classical computers are great, but for some of the most complex challenges humanity is facing, they are not suitable, said Minerbi. Quantum computing will revolutionize every large industry.

Classiq develops software for quantum algorithms. Founded in 2020, it has raised a total of $51 million and is funded by Team8 among other VC players in the space. Admiral Mike Rogers is the Former Director of American agency the NSA and is an Operating Partner at Team8.

We are in a race, Rogers told the large crowd. This is a technology believed to have advantages for our daily lives and national security. I told both presidents I worked under why they should invest billions into quantum, citing the ability to look at multiple qubits simultaneously thus speeding up the ability to process information. According to Rogers, governments have already publicly announced $29 billion of funding to help develop quantum computing.

Final remarks were made by Renee Wynn, former CIO at NASA, who discussed the potential of cyber in space. Space may be the final frontier, and if we do not do anything else than what we are doing now, it will be chaos 100 miles above your head, she warned. On stage, she spoke to the audience about the threats in space and how satellites could be hijacked for nefarious reasons.

Cybersecurity and satellites are so important, she concluded. Lets bring the space teams together with the cybersecurity teams and help save lives.

After the remarks, the stage was then transformed to host the evenings entertainment. Israeli-American puppet band Red Band performed a variety of songs and was then joined by Marina Maximilian, an Israeli singer-songwriter and actress, who shared the stage with the colorful puppets.

The event was sponsored by Meitar, Delloitte, LeumiTech, Valley, Palo Alto, FinSec Innovation Lab, and SentinelOne. It marked the beginning of Cyber Week, a three-day conference hosted by Tel Aviv University that will welcome a variety of cybersecurity professionals for workshops, networking opportunities, and panel discussions. It is understood that this year will have 9,000 attendees, 400 speakers, and host people from 80 different countries.

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Red Band performing 'Seven Nation Army'.

(Photo: James Spiro)

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Quantum computing will revolutionize every large industry - CTech

Covina, June 22, 2022 (GLOBE NEWSWIRE) -- The discovery of potential COVID-19 therapeutics has a bright future due toquantum computing. New approaches to drug discovery are being investigated with funding from the Penn State Institute for Computational and Data Sciences, coordinated through the Penn State Huck Institutes of the Life Sciences. For businesses in the quantum computing market, these tendencies are turning into lucrative opportunities during forecast period. Research initiatives that are assisting in the screening of billions of chemical compounds to uncover suitable medication candidates have been made possible by the convergence of machine learning and quantum physics. Stakeholders in the quantum computing business are expanding the availability of supercomputers and growing R&D in artificial intelligence to support these studies (AI). The energy and electricity sector offers lucrative potential for businesses in the quantum computing market. As regard to whole assets, work overs, and infrastructure, this technology is assisting players in the energy and power sector in making crucial investment decisions. Budgetary considerations, resource constraints, and contractual commitments may all be factors in these issues that quantum computing can help to resolve.

Region Analysis:

North America is predicted to hold a large market share for quantum computing due to its early adoption of cutting-edge technology. Additionally, the existence of a competitive market and end-user acceptance of cutting-edge technology may promote market growth. Sales are anticipated to increase throughout Europe as a result of the rise of multiple startups, favourable legislative conditions, and the growing use of cloud technology. In addition, it is anticipated that leading companies' company expansion will accelerate market growth. The market is anticipated to grow in Asia Pacific as a result of the growing need for quantum computing solutions for simulation, optimization, and machine learning.

Key Highlights:

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Key Market Insights from the report:

Global Quantum Computing Market size accounted for US$ 387.3 billion in 2020 and is estimated to be US$ 4531.04 billion by 2030 and is anticipated to register a CAGR of 28.2%.The Global Quantum Computing Market is segmented based on component, application, end-user industry and region.

Competitive Landscape & their strategies of Quantum Computing Market:

Key players in the global quantum computing market include Wave Systems Corp, 1QB Information Technologies Inc, QC Ware, Corp, Google Inc, QxBranch LLC, Microsoft Corporation, International Business Machines Corporation, Huawei Technologies Co., Ltd, ID Quantique SA, and Atos SE.

Scope of the Report:

Global Quantum Computing Market, By Component, 2019 2029, (US$ Mn)

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Some Important Points Answered in this Market Report Are Given Below:

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Global Quantum Computing Market is estimated to be US$ 4531.04 billion by 2030 with a CAGR of 28.2% during the forecast period - By PMI -...

An enigma machine on display outside the Alan Turing Institute entrance inside the British Library, London.

Credit: Shutterstock/William Barton

Suppose someone asked you to devise the most powerful computer possible. Alan Turing, whose reputation as a central figure in computer science and artificial intelligence has only grown since his untimely death in 1954, applied his genius to problems such as this one in an age before computers as we know them existed. His theoretical work on this problem and others remains a foundation of computing, AI and modern cryptographic standards, including those NIST recommends.

The road from devising the most powerful computer possible to cryptographic standards has a few twists and turns, as does Turings brief life.

Alan Turing

Credit: National Portrait Gallery, London

In Turings time, mathematicians debated whether it was possible to build a single, all-purpose machine that could solve all problems that are computable. For example, we can compute a cars most energy-efficient route to a destination, and (in principle) the most likely way in which a string of amino acids will fold into a three-dimensional protein. Another example of a computable problem, important to modern encryption, is whether or not bigger numbers can be expressed as the product of two smaller numbers. For example, 6 can be expressed as the product of 2 and 3, but 7 cannot be factored into smaller integers and is therefore a prime number.

Some prominent mathematicians proposed elaborate designs for universal computers that would operate by following very complicated mathematical rules. It seemed overwhelmingly difficult to build such machines. It took the genius of Turing to show that a very simple machine could in fact compute all that is computable.

His hypothetical device is now known as a Turing machine. The centerpiece of the machine is a strip of tape, divided into individual boxes. Each box contains a symbol (such as A,C,T, G for the letters of genetic code) or a blank space. The strip of tape is analogous to todays hard drives that store bits of data. Initially, the string of symbols on the tape corresponds to the input, containing the data for the problem to be solved. The string also serves as the memory of the computer. The Turing machine writes onto the tape data that it needs to access later in the computation.

Credit: NIST

The device reads an individual symbol on the tape and follows instructions on whether to change the symbol or leave it alone before moving to another symbol. The instructions depend on the current state of the machine. For example, if the machine needs to decide whether the tape contains the text string TC it can scan the tape in the forward direction while switching among the states previous letter was T and previous letter was not C. If while in state previous letter was T it reads a C, it goes to a state found it and halts. If it encounters the blank symbol at the end of the input, it goes to the state did not find it and halts. Nowadays we would recognize the set of instructions as the machines program.

It took some time, but eventually it became clear to everyone that Turing was right: The Turing machine could indeed compute all that seemed computable. No number of additions or extensions to this machine could extend its computing capability.

To understand what can be computed it is helpful to identify what cannot be computed. Ina previous life as a university professor I had to teach programming a few times. Students often encounter the following problem: My program has been running for a long time; is it stuck? This is called the Halting Problem, and students often wondered why we simply couldnt detect infinite loops without actually getting stuck in them. It turns out a program to do this is an impossibility. Turing showed that there does not exist a machine that detects whether or not another machine halts. From this seminal result followed many other impossibility results. For example, logicians and philosophers had to abandon the dream of an automated way of detecting whether an assertion (such as whether there are infinitely many prime numbers) is true or false, as that is uncomputable. If you could do this, then you could solve the Halting Problem simply by asking whether the statement this machine halts is true or false.

Turing went on to make fundamental contributions to AI, theoretical biology and cryptography. His involvement with this last subject brought him honor and fame during World War II, when he played a very important role in adapting and extending cryptanalytic techniques invented by Polish mathematicians. This work broke the German Enigma machine encryption, making a significant contribution to the war effort.

Turing was gay. After the war, in 1952, the British government convicted him for having sex with a man. He stayed out of jail only by submitting to what is now called chemical castration. He died in 1954 at age 41 by cyanide poisoning, which was initially ruled a suicide but may have been an accident according to subsequent analysis. More than 50 years would pass before the British government apologized and pardoned him (after years of campaigning by scientists around the world). Today, the highest honor in computer sciences is called the Turing Award.

Turings computability work provided the foundation for modern complexity theory. This theory tries to answer the question Among those problems that can be solved by a computer, which ones can be solved efficiently? Here, efficiently means not in billions of years but in milliseconds, seconds, hours or days, depending on the computational problem.

For example, much of the cryptography that currently safeguards our data and communications relies on the belief that certain problems, such as decomposing an integer number into its prime factors, cannot be solved before the Sun turns into a red giant and consumes the Earth (currently forecast for 4 billion to 5 billion years). NIST is responsible for cryptographic standards that are used throughout the world. We could not do this work without complexity theory.

Technology sometimes throws us a curve, such as the discovery that if a sufficiently big and reliable quantum computer is built it would be able to factor integers, thus breaking some of our cryptography. In this situation, NIST scientists must rely on the worlds experts (many of them in-house) in order to update our standards. There are deep reasons to believe that quantum computers will not be able to break the cryptography that NIST is about to roll out. Among these reasons is that Turings machine can simulate quantum computers. This implies that complexity theory gives us limits on what a powerful quantum computer can do.

But that is a topic for another day. For now, we can celebrate how Turing provided the keys to much of todays computing technology and even gave us hints on how to solve looming technological problems.

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Alan Turing's Everlasting Contributions to Computing, AI and Cryptography - NIST

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Quantum-computing outfit D-Wave has announced commercial access to an "experimental prototype" of its Advantage2 quantum annealing computer.

D-Wave is beating its own path to qubit processors with its quantum annealing approach. According to D-Wave, the Advantage2 prototype available today features over 500 qubits. It's a preview of a much larger Advantage2 it hopes to be available by 2024 with 7,000 qubits.

Access to the Advantage2 prototype is restricted to customers who have a D-Wave's Leap cloud service subscription, but developers interested in trying D-Wave's quantum cloud can sign up to get "one minute of free use of the actual quantum processing units (QPUs) and quantum hybrid solvers" that run on its earlier Advantage QPU.

The Advantage2 prototype is built with D-Wave's Zephyr connection technology that it claims offers higher connectivity between qubits than its predecessor topology called Pegasus, which is used in its Advantage QPU.

D-Wave says the Zephyr design enables shorter chains in its Advantage2 quantum chips, which can make them friendlier for calculations that require extra precision.

SEE:What is quantum computing? Everything you need to know about the strange world of quantum computers

"The Advantage2 prototype is designed to share what we're learning and gain feedback from the community as we continue to build towards the full Advantage2 system," says Emile Hoskinson, director of quantum annealing products at D-Wave.

"With Advantage2, we're pushing that envelope again demonstrating that connectivity and reduction in noise can be a delivery vehicle for even greater performance once the full system is available. The Advantage2 prototype is an opportunity for us to share our excitement and give a sneak peek into the future for customers bringing quantum into their applications."

While quantum computing is still experimental, senior execs are priming up for it as a business disruptor by 2030, according to a survey by consultancy EY. The firm found found that 81% of senior UK executives expect quantum computing to play a significant role in their industry by 2030.

Fellow consultancy McKinsey this month noted funding for quantum technology startups doubled in the past two years, from $700 million in 2020 to $1.4 billion in 2021. McKinsey sees quantum computing shaking up pharmaceuticals, chemicals, automotive, and finance industries, enabling players to "capture nearly $700 billion in value as early as 2035" through improved simulation and better machine learning. It expects revenues from quantum computing to exceed $90 billion by 2040.

D-Wave's investors include PSP Investments, Goldman Sachs, BDC Capital, NEC Corp, Aegis Group Partners, and the CIA's VC firm, In-Q-Tel.

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Quantum computing: D-Wave shows off prototype of its next quantum annealing computer - ZDNet