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Scott Aaronson is therecipient of the 2020 ACM Prize in Computing for his "groundbreaking contributions to quantum computing." Aaronson, who is Professor of Computer Science at the University of Texas, Austin, has also made fundamental contributions to classical complexity theory.

The award, which was established in 2007 to recognize "early to mid-career fundamental innovative contributions in computing" carries a prize of $250,000, with its financial support provided by Infosys Ltd.

In today's announcement,Pravin Rao, COO of Infosys states:

Infosys is proud to fund the ACM Prize in Computing and we congratulate Scott Aaronson on being this years recipient. When the effort to build quantum computation devices was first seriously explored in the 1990s, some labeled it as science fiction. While the realization of a fully functional quantum computer may still be in the future, this is certainly not science fiction. The successful quantum hardware experiments by Google and others have been a marvel to many who are following these developments. Scott Aaronson has been a leading figure in this area of research and his contributions will continue to focus and guide the field as it reaches its remarkable potential.

Explaining that the goal of quantum computing is:

"to harness the laws of quantum physics to build devices that can solve problems that classical computers either cannot solve, or not solve in any reasonable amount of time"

the ACM notes that Aaronson showed how results from computational complexity theory can provide new insights into the laws of quantum physics, and brought clarity to what quantum computers will, and will not, be able to do.

Aaronson helped develop the concept of quantum supremacy, something that would be achieved when a quantum device can solve a problem that no classical computer can solve in a reasonable amount of time and established many of the theoretical foundations of quantum supremacy experiments. He has also explored how quantum supremacy experiments could deliver a key application of quantum computing, namely the generation of cryptographically random bits.

Among his notable contribution are the 2011 paper The Computational Complexity of Linear Optics, in which, with co-author Alex Arkhipov, he put forward evidence that rudimentary quantum computers built entirely out of linear-optical elements cannot be efficiently simulated by classical computers.

Earlier, in his 2002 paper Quantum lower bound for the collision problem, Aaronson proved the quantum lower bound for the collision problem, which had been for years a major open problem. This work bounds the minimum time for a quantum computer to find collisions in many-to-one functions, giving evidence that a basic building block of cryptography will remain secure for quantum computers.

Aaronson is known for hiswork on algebrization, a technique he invented with Avi Wigderson to understand the limits of algebraic techniques for separating and collapsing complexity classes. Beyond his technical contributions, Aaronson is also credited with making quantum computing understandable to a wide audience, through his popular blog,Shtetl Optimized, where he explains timely and exciting topics in quantum computing in a simple and effective way, TED Talks to dispel misconceptions and provide the public with a more accurate overview of the field and his bookQuantum Computing Since Democritus, see side panel.

In his latest blog post, Aaronson recounts how he was toled about winning the prize and writes:

I dont know if Im worthy of such a prizebut I know that if I am, then its mainly for work I did between roughly 2001 and 2012. This honor inspires me to want to be more like I was back then, when I was driven, non-jaded, and obsessed with figuring out the contours of BQP and efficient computation in the physical universe. It makes me want to justify the ACMs faith in me.

ACM Prize Awarded to Pioneer in Quantum Computing

Dr. Scott J Aaronson

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Scott Aaronson Winner of 2020 ACM Prize In Computing - iProgrammer

Qiskit is an open-source framework for creating and running programs on quantum computers. The project was launched by IBM four years ago as an effort to introduce more programmers to quantum computing.

Since then, IBM has updated the SDK to better meet users needs and have provided pulse-level control to help programmers understand and work with qubits. Additionally, the company recently added the Qiskit Optimization model, which enables programmers to focus more on programs and less on how quantum systems work.

RELATED CONTENT: The climb to quantum supremacy

IBM recently announced plans to evolve the Qiskit and provide a runtime environment that better reflects the developer community needs.

Plans include:

These changes, and those to come, all work toward creating frictionless programming on our quantum computers. That makes it easier for programmers to find what theyre looking for and creates a lower barrier to entry for scientists, financial analysts and other domain expert non-programmers who care more about leveraging the power of quantum computing to solve specific problems than they do about quantum circuits or qubit coherence, the IBM Quantum team wrote in a post.

IBM also recently announced a Quantum Developer Certification program to help provide developers with quantum computing skills.

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SD Times Open-Source Project of the Week: Qiskit - SDTimes.com

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The top players including Overview, Financials, Product Portfolio, Business Strategy, and Recent Developments:Evolutionq Inc, Rigetti Computing, Quantum Circuits Inc, Hitachi Ltd, Nippon Telegraph And Telephone Corporation (NTT), Hewlett Packard Enterprise (HP), QC Ware Corp, International Business Machines Corporation (IBM), Northrop Grumman Corporation, Toshiba

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North America:U.S.Canada, Rest of North AmericaEurope:UK, Germany, France, Italy, Spain, Rest of EuropeAsia Pacific:China, Japan, India, Southeast Asia, Rest of Asia PacificLatin America:Brazil, Argentina, Rest of Latin AmericaThe Middle East and Africa:GCC Countries, South Africa, Rest of Middle East & Africa

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Quantum Computing Market Analysis: The transformative Impact Due To COVID-19 The Courier - The Courier

The cloud company published a new blueprint for a fault-tolerant quantum computer that describes a new way of controlling qubits to make sure that they carry out calculations as accurately as possible.

Amazon's cloud subsidiary AWS has released its first research paper detailing a new architecture for a future quantum computer, which, if realized, could set a new standard for error correction.

The cloud company published a new blueprint for a fault-tolerant quantum computer that, although still purely theoretical, describes a new way of controlling quantum bits (or qubits) to ensure that they carry out calculations as accurately as possible.

The paper is likely to grab the attention of many experts who are working to improve quantum error correction (QEC), a field that's growing in parallel with quantum computing that seeks to resolve one of the key barriers standing in the way of realising useful, large-scale quantum computers.

Quantum systems, which are expected to generate breakthroughs in industries ranging from finance to drug discovery thanks to exponentially greater compute capabilities, are effectively still riddled with imperfections, or errors, that can spoil the results of calculations.

SEE: Hiring Kit: Computer Hardware Engineer (TechRepublic Premium)

The building blocks of quantum computers, qubits, exist in a special, quantum state: instead of representing either a one or a zero, like the bits found in classical devices, quantum bits can exist in both states at the same time. While this enables a quantum computer to carry out many calculations at once, qubits are also highly unstable, and at risk of collapsing from their quantum state as soon as they are exposed to the outside environment. Consequently, the calculations performed by qubits in quantum gates cannot always be relied upon -- and scientists are now exploring ways to discover when a qubit has made an error, and to correct the mistake.

"The quantum algorithms that are known to be useful -- those that are likely to have an overwhelming advantage over classical algorithms -- may require millions or billions of quantum gates. Unfortunately, quantum gates, the building blocks of quantum algorithms, are prone to errors," said AWS Center for Quantum Computing research scientists Patricio Arrangoiz-Arriola and Earl Campbellin a blog post.

"These error rates have decreased over time, but are still many orders of magnitude larger than what is needed to run high-fidelity algorithms. To reduce error rates further, researchers need to supplement approaches that lower gate error rates at the physical level with other methods such as QEC."

There are different ways to carry out quantum error correction. The conventional approach, known as active QEC, uses many imperfect qubits (called 'physical qubits') to correct one qubit that has been identified as faulty, to restore the particle to a state of precision. The controllable qubit created in this way is called a 'logical qubit'.

Active QEC, however, creates a large hardware overhead in that many physical qubits are required to encode every logical qubit, which makes it even harder to build a universal quantum computer comprising large-scale qubit circuits.

Another approach, passive QEC, focuses on engineering a physical computing system that has an inherent stability against errors. Although much of the work around passive QEC is still experimental, the method aims to create intrinsic fault-tolerance that could accelerate the construction of a quantum computer with a large number of qubits.

In the new blueprint, AWS's researchers combine both active and passive QEC to create a quantum computer that, in principle, could achieve higher levels of precision. The architecture presents a system based on 'cat states' -- a form of passive QEC where qubits are kept in a state of superposition within an oscillator, while pairs of photons are injected and extracted to ensure that the quantum state remains stable.

This design, according to the scientists, has been shown to reduce bit-flip error, which occurs when a qubit's state flips from one to zero or vice versa. But to further protect qubits from other types of error that might arise, the researchers propose coupling passive QEC with known active QEC techniques.

Repetition code, for example, is a well-established approach to detect and correct error in quantum devices, which Arrangoiz-Arriola and Campbell used together with cat states to improve fault tolerance in their theoretical quantum computer.

The results seem promising: the combination of cat states and repetition code produced an architecture in which just over 2,000 superconducting components used for stabilization could produce a hundred logical qubits capable of executing a thousand gates.

"This may fit in a single dilution refrigerator using current or near-term technology and would go far beyond what we can simulate on a classical computer," said Arrangoiz-Arriola and Campbell.

Before the theoretical architecture proposed by the researchers takes shape as a physical device, however, several challenges remain. For example, cat states have already been demonstrated in the lab in previous proof-of-concept experiments, but they are yet to be produced at a useful scale.

The paper nevertheless suggests that AWS is gearing up for quantum computing, as major tech players increasingly enter what appears to be a race for quantum.

IBM recentlyunveiled a roadmapthat eyes a 1,121-qubit system for 2023, and is currently working on a 127-qubit processor. Google's 54-qubit Sycamore chip made headlines in 2019for achieving quantum supremacy; and Microsoft recently made itscloud-based quantum ecosystem, Azure Quantum, available for public preview.

Amazon, for its part, launched an AWS-managed service called Amazon Braket, which allows scientists, researchers and developers toexperiment with computers from quantum hardware providers, such as D-Wave, IonQ and Rigetti. However, the company is yet to build its own quantum computer.

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AWS reveals a new method to build a more accurate quantum computer - ZDNet

[Courtesty of LG Electronics]

Multiphysics is the coupled processes or systems involving more than one simultaneously occurring physical field and the studies of and knowledge about these processes and systems. Multiphysics simulations are used to analyze and validate them.

LG Electronics said the joint study would increase the competitiveness of future technologies by utilizing quantum computing that uses quantum bits or qubits, based on the principles of quantum theory, which explains the nature and behavior of energy and matter on the quantum level. Theoretically, a quantum computer would gain enormous processing power and perform tasks using all possible permutations simultaneously.

"Quantum computing is an innovative technology that goes beyond existing technologies and has considerable potential," said LG Electronics chief technology officer Park Il-pyung."Based on open innovation strategies, we will strengthen technological competitiveness with potential companies like Qu&Co and promote a high-level application study."

Qu&Co CTO Vincent Elfving said his company would cooperate with LG Electronics to introduce a new technology that effectively solves non-linear problems by utilizing quantum algorithms. The Amsterdam-based company develops quantum-computing algorithms, software and services running on currently available quantum hardware.

South Korea has joined an international race to develop quantum computing technology and hardware. The Ministry of Science and ICT aims to develop a practical five-qubit quantum computer by 2023.

More here:
LG Electronics works with Dutch firm to develop quantum computing technology for multiphysics simulation - Aju Business Daily