Benchmarking the performance of variational quantum eigensolvers (VQE) applied to the HCN molecule.
ORAL
Abstract
[1] P. Lolur, et al, AIP Conf. Proc. 2362, 030005 (2021); [2] Qiskit: https://qiskit.org/; [3] EUMEN; https://cqcl.github.io/eumen/build/html/index.html; [4] D. A. Mazziotti, et al.; arXiv:2101.11607
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Publication: P. Lolur, M. Rahm, M. Skogh, L. García-Álvarez, and G. Wendin, AIP Conf. Proc. 2362, 030005 (2021)
Presenters
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Goran Wendin
Chalmers University of Technology, SE 41296 Gothenburg, Sweden
Authors
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Goran Wendin
Chalmers University of Technology, SE 41296 Gothenburg, Sweden
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Andrew Tranter
Cambridge Quantum Computing Ltd., Cambridge CB2 1UB, United Kingdom
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David Munoz Ramo
Cambridge Quantum Computing Ltd., Cambridge CB2 1UB, United Kingdom, Cambridge Quantum Computing
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Ross Duncan
Cambridge Quantum Computing Ltd., Cambridge CB2 1UB, United Kingdom
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Phalgun Lolur
a. Department of Chemistry and Chemical Engineering, Chalmers University of Technology, Gothenburg, Sweden, Chalmers University of Technology, SE-41296 Gothenburg, Sweden
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Mårten Skogh
a.Department of Chemistry and Chemical Engineering, Chalmers University of Technology, Gothenburg, Sweden b.Data Science & Modelling, Pharmaceutical Science, R&D, AstraZeneca, Data Science & Modelling, Pharmaceutical Science, R&D, AstraZeneca, Gothenburg, Sweden
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Martin Rahm
Chalmers University of Technology, SE-41296 Gothenburg, Sweden