A roadmap for the future direction of quantum simulation is laid out in a paper he co-authored at the University of Strathclyde.
Quantum computers are extremely powerful devices with a capacity for speed and computation that is beyond the reach of classical or binary computing. Instead of a binary system of zeros and ones, it works through superpositions, which may be zeros, ones, or both at the same time.
The continuous development of quantum computing has reached the point of having an advantage over classical computers for an artificial problem. It could have future applications in a wide range of fields. One promising class of problems includes simulation Quantum systems, with potential applications such as developing materials for batteries, industrial catalysis, and nitrogen fixation.
The paper published in temper natureexplores the near and medium term possibilities for quantum simulation on analog and digital platforms To help assess the potential of this area. It was co-written by researchers from Strathclyde, the Max Planck Institute for Quantum Optics, the Ludwig Maximilians University of Munich, the Munich Center for Quantum Science and Technology, the University of Innsbruck and the Institute for Quantum Optics and Quantum Information of the Austrian Academy. Science, Inc. Microsoft.
Professor Andrew Daly, from the Department of Physics at Strathclyde, is the paper’s lead author. He says that “there have been a great deal of exciting progress in analog and digital quantum simulations in recent years, and quantum simulation is one of the most promising areas of quantum information processing. It is already quite mature, both in terms of algorithm development, and in the availability of well-advanced analog quantum simulation experiments. notable at the international level.
“In the history of computing, classical analog and digital computing have coexisted for more than half a century, with a gradual transition towards digital computing, and we expect the same will happen with the advent of quantum simulation.”
“As a next step along the development of this technology, it is now important to discuss the ‘practical quantum advantage’, the point at which quantum devices will solve problems of practical importance that cannot be traced to conventional supercomputers.”
“Many promising short-term applications of quantum computers fall under the umbrella of quantum simulation: modeling the quantum properties of microscopic particles that is of direct relevance to the understanding of modern materials science, high energy physics and quantum chemistry.”
“Quantum simulations should be possible in the future on fault-tolerant digital quantum computers with greater flexibility and accuracy, but today they can also be performed for specific models through special-purpose analog quantum simulators. This occurs in a similar way to the study of aerodynamics, which can be done either In a wind tunnel or through simulations on a digital computer. Where aerodynamics often uses a smaller model to understand something big, analog quantum simulators often take a larger model to understand something smaller.”
“Analog quantum simulators are now moving from providing qualitative demonstrations of physical phenomena to providing quantum solutions to original problems. A particularly exciting way forward in the near term is to develop a set of programmable quantum simulators that hybridizes digital and analog technologies. Potential because they combine the best advantages of both sides by taking advantage of native analog processes to produce highly entangled states.”
Andrew J. Daly et al., Practical quantum advantage in quantum simulation, temper nature (2022). DOI: 10.1038 / s41586-022-04940-6
University of Strathclyde, Glasgow
the quote: Roadmap for the Future of Quantum Simulation (2022, July 29) Retrieved on July 29, 2022 from https://phys.org/news/2022-07-roadmap-future-quantum-simulation.html
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