On Modifying the Variational Quantum Singular Value Decomposition Algorithm
Quantum Physics
2024-12-05 v2
Abstract
In this work, we discuss two modifications that can be made to a known variational quantum singular value decomposition algorithm popular in the literature. The first is a change to the objective function which hints at improved performance of the algorithm. The second modification introduces a new way of computing expectation values of general matrices, which is a key step in the algorithm. We then benchmark this modified algorithm and compare the performance of our new objective function with the existing one.
Cite
@article{arxiv.2310.19504,
title = {On Modifying the Variational Quantum Singular Value Decomposition Algorithm},
author = {Jezer Jojo and Ankit Khandelwal and M Girish Chandra},
journal= {arXiv preprint arXiv:2310.19504},
year = {2024}
}
Comments
8 pages, 10 figures, 2 tables