Practical quantum advantage in quantum simulation
Daley, Andrew J. and Bloch, Immanuel and Kokail, Christian and Flannigan, Stuart and Pearson, Natalie and Troyer, Matthias and Zoller, Peter (2022) Practical quantum advantage in quantum simulation. Nature, 607 (7920). pp. 667-676. ISSN 0028-0836 (https://doi.org/10.1038/s41586-022-04940-6)
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Abstract
The development of quantum computing across several technologies and platforms has reached the point of having an advantage over classical computers for an artificial problem, a point known as 'quantum advantage'. As a next step along the development of this technology, it is now important to discuss 'practical quantum advantage', the point at which quantum devices will solve problems of practical interest that are not tractable for traditional supercomputers. Many of the most promising short-term applications of quantum computers fall under the umbrella of quantum simulation: modelling the quantum properties of microscopic particles that are directly relevant to modern materials science, high-energy physics and quantum chemistry. This would impact several important real-world applications, such as developing materials for batteries, industrial catalysis or nitrogen fixing. Much as aerodynamics can be studied either through simulations on a digital computer or in a wind tunnel, quantum simulation can be performed not only on future fault-tolerant digital quantum computers but also already today through special-purpose analogue quantum simulators. Here we overview the state of the art and future perspectives for quantum simulation, arguing that a first practical quantum advantage already exists in the case of specialized applications of analogue devices, and that fully digital devices open a full range of applications but require further development of fault-tolerant hardware. Hybrid digital-analogue devices that exist today already promise substantial flexibility in near-term applications.
ORCID iDs
Daley, Andrew J. ORCID: https://orcid.org/0000-0001-9005-7761, Bloch, Immanuel, Kokail, Christian, Flannigan, Stuart, Pearson, Natalie, Troyer, Matthias and Zoller, Peter;-
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Item type: Article ID code: 82197 Dates: DateEvent28 July 2022Published27 July 2022Published Online7 June 2022Accepted1 July 2021SubmittedSubjects: Science > Physics
Science > Mathematics > Electronic computers. Computer scienceDepartment: Faculty of Science > Physics Depositing user: Pure Administrator Date deposited: 05 Sep 2022 08:23 Last modified: 18 Dec 2024 14:55 URI: https://strathprints.strath.ac.uk/id/eprint/82197