Proposes hybrid quantum-classical circuits to realize PPT and CCNR criteria for entanglement detection via SWAP-based operations and variational trace norm estimation.
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quant-ph 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
A matrix-encoding variational quantum algorithm computes eigenvalues and generalized eigenvalues by measuring an ancilla to extract a loss function and its derivatives for classical gradient optimization, with circuit depth O(N squared log N).
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Quantum Circuit Realization of the PPT and CCNR Criteria
Proposes hybrid quantum-classical circuits to realize PPT and CCNR criteria for entanglement detection via SWAP-based operations and variational trace norm estimation.
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Matrix encoding method in variational algorithm of calculating eigenvalues and generalized eigenvalues
A matrix-encoding variational quantum algorithm computes eigenvalues and generalized eigenvalues by measuring an ancilla to extract a loss function and its derivatives for classical gradient optimization, with circuit depth O(N squared log N).