On Modifying the Variational Quantum Singular Value Decomposition Algorithm
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2023
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| _version_ | 1866917856068763648 |
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| author | Jojo, Jezer Khandelwal, Ankit Chandra, M Girish |
| author_facet | Jojo, Jezer Khandelwal, Ankit Chandra, M Girish |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2310_19504 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | On Modifying the Variational Quantum Singular Value Decomposition Algorithm Jojo, Jezer Khandelwal, Ankit Chandra, M Girish Quantum Physics 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. |
| title | On Modifying the Variational Quantum Singular Value Decomposition Algorithm |
| topic | Quantum Physics |
| url | https://arxiv.org/abs/2310.19504 |