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Primeur weekly 2019-07-08

Quantum computing

Leading European institutions partner with IBM to accelerate joint research and educational opportunities in quantum computing ...

Puzzling on a quantum chessboard ...

Simulating quantum systems with neural networks ...

Quantum - widening the net ...

Sigma-i and D-Wave announce largest-ever quantum Cloud-access contract ...

Rigetti Computing awarded as Technology Pioneer by World Economic Forum ...

Accenture awarded second U.S. patent for quantum computing ...

Generation and sampling of quantum states of light in a silicon chip ...

Quantum technology R&D programme between Ben-Gurion University, IDF and US Defense Departments announced ...

Focus on Europe

Spring 2019 edition of the e-IRG Magazine available ...

Middleware

NEC server software enables advanced and secure login to websites in compliance with FIDO2 ...

Hardware

'Tsunami' on a silicon chip: a world first for light waves ...

Applications

Atos and GENCI announce winners of Atos Joseph Fourier Award 2019 ...

Baidu named development partner on Intel Nervana Neural Network Processor for Training ...

Using artificial intelligence to better predict severe weather ...

Using machine learning models to better predict bladder cancer stages ...

A data-driven journey to the center of the earth ...

Building a brain ...

Researchers cast neural nets to simulate molecular motion ...

Theoretical physicists unveil one of the most ubiquitous and elusive concepts in chemistry ...

The Cloud

Atos expands strategic partnership with Google Cloud to enable Oracle database customers to benefit from Google Cloud Platform ...

SDSC's Sherlock division debuts Innovation Accelerator Platforms ...

Simulating quantum systems with neural networks


An illustration of the neural network used to predict the state of an open quantum system. Credit: A. Nagy and A. Anelli, EPFL.
5 Jul 2019 Lausanne - Even on the scale of everyday life, nature is governed by the laws of quantum physics. These laws explain common phenomena like light, sound, heat, or even the trajectories of balls on a pool table. But when applied to a large number of interacting particles, the laws of quantum physics actually predict a variety of phenomena that defy intuition.

In order to study quantum systems made of many particles, physicists must first be able to simulate them. This can be done by solving the equations describing their inner workings on supercomputers. But while Moore's Law predicts that the processing power of computers doubles every couple of years, this is a far cry from the power needed to tackle the challenges of quantum physics.

The reason is that predicting the properties of a quantum system is enormously complex, demanding a computational power that grows exponentially with the size of the quantum system - an "intrinsically complex" task, according to Professor Vincenzo Savona, who directs the Laboratory of Theoretical Physics of Nanosystems at the Ecole Polytechnique Fédérale de Lausanne (EPFL).

"Things become even more complicated when the quantum system is open, meaning that it is subject to the disturbances of its surrounding environment", Vincenzo Savona added. And yet, tools to efficiently simulate open quantum systems are much needed, as most modern experimental platforms for quantum science and technology are open systems, and physicists are constantly in search of new ways to simulate and benchmark them.

But significant progress has been made thanks to a new computational method that simulates quantum systems with neural networks. The method was developed by Vincenzo Savona and his PhD student Alexandra Nagy at EPFL - and independently by scientists at Université Paris Diderot, the Heriot-Watt University in Edinburgh, and the Flatiron Institute in New York. The total body of work is being published across three papers inPhysical Review Letters.

"We basically combined advances in neural networks and machine-learning with quantum Monte Carlo tools", stated Vincenzo Savona, referring to a large toolkit of computational methods that physicists use to study complex quantum systems. The scientists trained a neural network to represent simultaneously the many quantum states in which a quantum system can be cast by the influence of its environment.

The neural-network approach allowed the physicists to predict the properties of quantum systems of considerable size and arbitrary geometry. "This is a novel computational approach that addresses the problem of open quantum systems with versatility and a lot of potential for scaling up", stated Vincenzo Savona. The method is set to become a tool of choice for the study of complex quantum systems, and, looking a bit more into the future, for assessing the effects of noise on quantum hardware.

Funding is granted through the Swiss National Science Foundation.

Alexandra Nagy and Vincenzo Savona are the authors of the paper titled " Variational quantum Monte Carlo with neural network ansatz for open quantum systems " published inPhysical Review Letters122, 250501 - 2019 - DOI: 10.1103/PhysRevLett.122.250501.
Source: Ecole Polytechnique Fédérale de Lausanne - EPFL

Back to Table of contents

Primeur weekly 2019-07-08

Quantum computing

Leading European institutions partner with IBM to accelerate joint research and educational opportunities in quantum computing ...

Puzzling on a quantum chessboard ...

Simulating quantum systems with neural networks ...

Quantum - widening the net ...

Sigma-i and D-Wave announce largest-ever quantum Cloud-access contract ...

Rigetti Computing awarded as Technology Pioneer by World Economic Forum ...

Accenture awarded second U.S. patent for quantum computing ...

Generation and sampling of quantum states of light in a silicon chip ...

Quantum technology R&D programme between Ben-Gurion University, IDF and US Defense Departments announced ...

Focus on Europe

Spring 2019 edition of the e-IRG Magazine available ...

Middleware

NEC server software enables advanced and secure login to websites in compliance with FIDO2 ...

Hardware

'Tsunami' on a silicon chip: a world first for light waves ...

Applications

Atos and GENCI announce winners of Atos Joseph Fourier Award 2019 ...

Baidu named development partner on Intel Nervana Neural Network Processor for Training ...

Using artificial intelligence to better predict severe weather ...

Using machine learning models to better predict bladder cancer stages ...

A data-driven journey to the center of the earth ...

Building a brain ...

Researchers cast neural nets to simulate molecular motion ...

Theoretical physicists unveil one of the most ubiquitous and elusive concepts in chemistry ...

The Cloud

Atos expands strategic partnership with Google Cloud to enable Oracle database customers to benefit from Google Cloud Platform ...

SDSC's Sherlock division debuts Innovation Accelerator Platforms ...