Results of quantum computer simulations, using the Variational Quantum Eigensolver (VQE). The dataset contains data calculated using various parameters and settings. The goal of the data is to see how these parameters and settings affect the potential reduction of VQE optimization iterations.

Data contains personal data

Language

English

Method and outcome

Data format / data structure

Numeric

Data collection

Mode of collection: Simulation
Description of the mode of collection: Simulation of quantum computer with and without simulated sampling of quantum state
Time period(s) for data collection: 2022 – 2023

Geographic coverage

Administrative information

Contributor(s)

Phalgun Lolur - National Quantum Computing Centre, UK Research and Innovation

Oskar Leinonen - University of Oslo

Martin Rahm - Chalmers University of Technology, Department of Chemistry and Chemical Engineering

Mårten Skogh - AstraZeneca, Data Science and Modelling, Pharmaceutical Sciences, R&D, Gothenburg

Funding

Funding agency: Wallenberg Center for Quantum Technology (WACQT)

Topic and keywords

Research area

Theoretical chemistry (Standard för svensk indelning av forskningsämnen 2011)

Atom and molecular physics and optics (Standard för svensk indelning av forskningsämnen 2011)

Other physics topics (Standard för svensk indelning av forskningsämnen 2011)

Physical chemistry (Standard för svensk indelning av forskningsämnen 2011)

Keywords

Electronic structure, Optimization, Quantum computing

Publications

Accelerating Variational Quantum Eigensolver Convergence using Parameter Transfer
: [Under review]

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