Archive for the ‘Quantum Computing’ Category

Quantum computing will revolutionize every large industry – CTech

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'.

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Quantum computing will revolutionize every large industry - CTech

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 -…

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 -...

Alan Turing’s Everlasting Contributions to Computing, AI and Cryptography – NIST

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

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

Image: Wacomka/Shutterstock

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

Chicago Quantum Exchange takes first steps toward a future that could revolutionize computing, medicine and cybersecurity – Chicago Tribune

Flashes of what may become a transformative new technology are coursing through a network of optic fibers under Chicago.

Researchers have created one of the worlds largest networks for sharing quantum information a field of science that depends on paradoxes so strange that Albert Einstein didnt believe them.

The network, which connects the University of Chicago with Argonne National Laboratory in Lemont, is a rudimentary version of what scientists hope someday to become the internet of the future. For now, its opened up to businesses and researchers to test fundamentals of quantum information sharing.

The network was announced this week by the Chicago Quantum Exchange which also involves Fermi National Accelerator Laboratory, Northwestern University, the University of Illinois and the University of Wisconsin.

People work in the Pritzker Nanofabrication Facility, June 15, 2022, inside the William Eckhardt Research Center at the University of Chicago. The Chicago Quantum Exchange is expanding its quantum network to make it available to more researchers and companies. Quantum computing is a pioneering, secure format said to be hacker-proof and of possible use by banks, the health care industry, and others for secure communications. (Erin Hooley / Chicago Tribune)

With a $500 million federal investment in recent years and $200 million from the state, Chicago, Urbana-Champaign, and Madison form a leading region for quantum information research.

Why does this matter to the average person? Because quantum information has the potential to help crack currently unsolvable problems, both threaten and protect private information, and lead to breakthroughs in agriculture, medicine and climate change.

While classical computing uses bits of information containing either a 1 or zero, quantum bits, or qubits, are like a coin flipped in the air they contain both a 1 and zero, to be determined once its observed.

That quality of being in two or more states at once, called superposition, is one of the many paradoxes of quantum mechanics how particles behave at the atomic and subatomic level. Its also a potentially crucial advantage, because it can handle exponentially more complex problems.

Another key aspect is the property of entanglement, in which qubits separated by great distances can still be correlated, so a measurement in one place reveals a measurement far away.

The newly expanded Chicago network, created in collaboration with Toshiba, distributes particles of light, called photons. Trying to intercept the photons destroys them and the information they contain making it far more difficult to hack.

The new network allows researchers to push the boundaries of what is currently possible, said University of Chicago professor David Awschalom, director of the Chicago Quantum Exchange.

Fourth-year graduate student Cyrus Zeledon, left, and postdoctoral student Leah Weiss, right, show senior undergraduate Tiarna Wise around one of the quantum science laboratories, June 15, 2022, inside the William Eckhardt Research Center at the University of Chicago. (Erin Hooley / Chicago Tribune)

However, researchers must solve many practical problems before large-scale quantum computing and networking are possible.

For instance, researchers at Argonne are working on creating a foundry where dependable qubits could be forged. One example is a diamond membrane with tiny pockets to hold and process qubits of information. Researchers at Argonne also have created a qubit by freezing neon to hold a single electron.

Because quantum phenomena are extremely sensitive to any disturbance, they might also be used as tiny sensors for medical or other applications but theyd also have to be made more durable.

The quantum network was launched at Argonne in 2020, but has now expanded to Hyde Park and opened for use by businesses and researchers to test new communication devices, security protocols and algorithms. Any venture that depends on secure information, such as banks financial records of hospital medical records, would potentially use such a system.

Quantum computers, while in development now, may someday be able to perform far more complex calculations than current computers, such as folding proteins, which could be useful in developing drugs to treat diseases such as Alzheimers.

In addition to driving research, the quantum field is stimulating economic development in the region. A hardware company, EeroQ, announced in January that its moving its headquarters to Chicago. Another local software company, Super.tech, was recently acquired, and several others are starting up in the region.

Because quantum computing could be used to hack into traditional encryption, it has also attracted the bipartisan attention of federal lawmakers. The National Quantum Initiative Act was signed into law by President Donald Trump in 2018 to accelerate quantum development for national security purposes.

In May, President Joe Biden directed federal agency to migrate to quantum-resistant cryptography on its most critical defense and intelligence systems.

Ironically, basic mathematical problems, such as 5+5=10, are somewhat difficult through quantum computing. Quantum information is likely to be used for high-end applications, while classical computing will likely continue to be practical for many daily uses.

Renowned physicist Einstein famously scoffed at the paradoxes and uncertainties of quantum mechanics, saying that God does not play dice with the universe. But quantum theories have been proven correct in applications from nuclear energy to MRIs.

Stephen Gray, senior scientist at Argonne, who works on algorithms to run on quantum computers, said quantum work is very difficult, and that no one understands it fully.

But there have been significant developments in the field over the past 30 years, leading to what some scientists jokingly called Quantum 2.0, with practical advances expected over the next decade.

Were betting in the next five to 10 years therell be a true quantum advantage (over classical computing), Gray said. Were not there yet. Some naysayers shake their canes and say its never going to happen. But were positive.

Just as early work on conventional computers eventually led to cellphones, its hard to predict where quantum research will lead, said Brian DeMarco, professor of physics at the University of Illinois at Urbana-Champaign, who works with the Chicago Quantum Exchange.

Thats why its an exciting time, he said. The most important applications are yet to be discovered.

rmccoppin@chicagotribune.com

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Chicago Quantum Exchange takes first steps toward a future that could revolutionize computing, medicine and cybersecurity - Chicago Tribune