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On Modifying the Variational Quantum Singular Value Decomposition Algorithm

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arxiv 2310.19504 v2 pith:LVQ2NI6H submitted 2023-10-30 quant-ph

classification quant-ph
keywords algorithmdecompositionfunctionobjectiveperformancequantumsingularvalue
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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.

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