An iterative semidefinite programming method maximizes quantum Fisher information over local Hamiltonians to optimize metrological performance of quantum states and solves related entanglement problems.
Quantum Fisher Information: Variational principle and simple iterative algorithm for its efficient computation
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abstract
We derive a new variational principle for the quantum Fisher information leading to a simple iterative alternating algorithm, the convergence of which is proved. The case of a fixed measurement, i.e. the classical Fisher information, is also discussed.
fields
quant-ph 1years
2022 1verdicts
UNVERDICTED 1representative citing papers
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Iterative optimization in quantum metrology and entanglement theory using semidefinite programming
An iterative semidefinite programming method maximizes quantum Fisher information over local Hamiltonians to optimize metrological performance of quantum states and solves related entanglement problems.