Accelerating Variational Quantum Eigensolver Convergence using Parameter Transfer
https://doi.org/10.5878/fvza-z272
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 files
Data files
Citation and access
Citation and access
Data access level:
Creator/Principal investigator(s):
Research principal:
Data contains personal data:
No
Citation:
Language:
Copyright:
Copyright 2023 Mårten Skogh & Oskar Leinonen
Method and outcome
Method and outcome
Data format/data structure:
Data collection - Simulation
Data collection - Simulation
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
Administrative information
Administrative information
Contributor(s):
Funding
Funding
Funding agency:
- Wallenberg Center for Quantum Technology (WACQT)
Topic and keywords
Topic and keywords
Standard för svensk indelning av forskningsämnen 2025:
Publications
Publications
Citation:
Accelerating Variational Quantum Eigensolver Convergence using Parameter Transfer
Metadata
Metadata
Version 1
