Quantum Algorithms for tensor-SVD
Fuente:
arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866916594199822336 |
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| author | Jojo, Jezer Khandelwal, Ankit Chandra, M Girish |
| author_facet | Jojo, Jezer Khandelwal, Ankit Chandra, M Girish |
| contents | A promising area of applications for quantum computing is in linear algebra problems. In this work, we introduce two new quantum t-SVD (tensor-SVD) algorithms. The first algorithm is largely based on previous work that proposed a quantum t-SVD algorithm for context-aware recommendation systems. The new algorithm however seeks to address and fix certain drawbacks to the original, and is fundamentally different in its approach compared to the existing work. The second algorithm proposed uses a hybrid variational approach largely based on a known variational quantum SVD algorithm. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_19485 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Quantum Algorithms for tensor-SVD Jojo, Jezer Khandelwal, Ankit Chandra, M Girish Quantum Physics A promising area of applications for quantum computing is in linear algebra problems. In this work, we introduce two new quantum t-SVD (tensor-SVD) algorithms. The first algorithm is largely based on previous work that proposed a quantum t-SVD algorithm for context-aware recommendation systems. The new algorithm however seeks to address and fix certain drawbacks to the original, and is fundamentally different in its approach compared to the existing work. The second algorithm proposed uses a hybrid variational approach largely based on a known variational quantum SVD algorithm. |
| title | Quantum Algorithms for tensor-SVD |
| topic | Quantum Physics |
| url | https://arxiv.org/abs/2405.19485 |