Quantum-inspired algorithms for solving low-rank linear equation systems with logarithmic dependence on the dimension
We present two efficient classical analogues of the quantum matrix inversion algorithm [16] for low-rank matrices. Inspired by recent work of Tang [27], assuming length-square sampling access to input data, we implement the pseudoinverse of a low-rank matrix allowing us to sample from the solution t...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
2022-01-11T15:24:12Z.
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| Subjects: | |
| Online Access: | Get fulltext |