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Simon C. Benjamin
Researcher at University of Oxford
Publications - 205
Citations - 13429
Simon C. Benjamin is an academic researcher from University of Oxford. The author has contributed to research in topics: Quantum computer & Qubit. The author has an hindex of 51, co-authored 190 publications receiving 8948 citations. Previous affiliations of Simon C. Benjamin include University of Los Andes & University of Nottingham.
Papers
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Journal ArticleDOI
Quantum computational chemistry
TL;DR: This review presents strategies employed to construct quantum algorithms for quantum chemistry, with the goal that quantum computers will eventually answer presently inaccessible questions, for example, in transition metal catalysis or important biochemical reactions.
Journal ArticleDOI
Variational Quantum Algorithms
Marco Cerezo,Marco Cerezo,Andrew Arrasmith,Andrew Arrasmith,Ryan Babbush,Simon C. Benjamin,Suguru Endo,Keisuke Fujii,Jarrod R. McClean,Kosuke Mitarai,Kosuke Mitarai,Xiao Yuan,Xiao Yuan,Lukasz Cincio,Lukasz Cincio,Patrick J. Coles,Patrick J. Coles +16 more
TL;DR: An overview of the field of Variational Quantum Algorithms is presented and strategies to overcome their challenges as well as the exciting prospects for using them as a means to obtain quantum advantage are discussed.
Journal ArticleDOI
Efficient Variational Quantum Simulator Incorporating Active Error Minimization
Ying Li,Simon C. Benjamin +1 more
TL;DR: This work proposes a variational method involving closely integrated classical and quantum coprocessors and finds that it is efficient and appears to be fundamentally more robust against error accumulation than a more conventional optimised Trotterisation technique.
Journal ArticleDOI
Variational Quantum Algorithms
Marco Cerezo,Marco Cerezo,Andrew Arrasmith,Andrew Arrasmith,Ryan Babbush,Simon C. Benjamin,Suguru Endo,Keisuke Fujii,Jarrod R. McClean,Kosuke Mitarai,Kosuke Mitarai,Xiao Yuan,Xiao Yuan,Lukasz Cincio,Lukasz Cincio,Patrick J. Coles,Patrick J. Coles +16 more
TL;DR: Variational quantum algorithms (VQAs) as discussed by the authors use a classical optimizer to train a parameterized quantum circuit, which is a leading strategy to address the limitations of classical computers.
Journal ArticleDOI
Practical Quantum Error Mitigation for Near-Future Applications
TL;DR: A new analysis of quantum error mitigation, which attempts to limit the effects of errors in near-term quantum computers, shows that two proposed techniques can work in small systems without the need for extra qubits or peripheral devices.