most citedFinding the optimal probe state for multiparameter quantum metrology using conic programming

10 citations · 10 across the 4 of their papers we have counts for

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quant-ph2026

Multiparameter quantum metrology for general and adaptive strategies

Masahito Hayashi, Yingkai Ouyang

We develop a conic-programming framework for multiparameter estimation of quantum processes under different classes of sensing strategies. Estimation precision depends on the choic…

quant-ph2026

Finite-Sample Selected Covariance Spectra in Classical Shadows

Masahito Hayashi

Classical shadows use a single measurement snapshot to estimate many observables. These estimates are jointly distributed, and their covariance is not determined by their expectati…

quant-ph2026

Causal-Order Identification of Memoryless Sequential Quantum Processes from Restricted Projective Data

Masahito Hayashi

Identifying causal order from restricted projective data is generally nontrivial. When two quantum players interact only through an unobserved environment, the available local meas…

quant-ph2024

The Cramér-Rao approach and global quantum estimation of bosonic states

Masahito Hayashi, Yingkai Ouyang

Quantum state estimation is a fundamental task in quantum information theory, where one estimates real parameters continuously embedded in a family of quantum states. In the theory…

quant-ph2024★ 10 cited

Finding the optimal probe state for multiparameter quantum metrology using conic programming

Masahito Hayashi, Yingkai Ouyang

The aim of the channel estimation is to estimate the parameters encoded in a quantum channel. For this aim, it is allowed to choose the input state as well as the measurement to ge…