A theory of quantum subspace diagonalization
Quantum subspace diagonalization methods are an exciting new class of algorithms for solving large-scale eigenvalue problems using quantum computers. Unfortunately, these methods require the solution of an ill-conditioned generalized eigenvalue problem, with a matrix pencil corrupted by a nonnegligi...
Автори: | , , |
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Формат: | Journal article |
Мова: | English |
Опубліковано: |
Society for Industrial and Applied Mathematics
2022
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