activity
20182020
most citedUnboxing Quantum Black Box Models: Learning Non-Markovian Dynamics

8 citations · 13 across the 2 of their papers we have counts for

collaborators

8 papers

quant-ph20208 cited

Unboxing Quantum Black Box Models: Learning Non-Markovian Dynamics

Stefan Krastanov, Kade Head-Marsden, Sisi Zhou +3

Characterizing the memory properties of the environment has become critical for the high-fidelity control of qubits and other advanced quantum systems. However, current non-Markovi…

quant-ph2020

Asymptotic theory of quantum channel estimation

Sisi Zhou, Liang Jiang

The quantum Fisher information (QFI), as a function of quantum states, measures the amount of information that a quantum state carries about an unknown parameter. The (entanglement…

quant-ph20195 cited

An exact correspondence between the quantum Fisher information and the Bures metric

Sisi Zhou, Liang Jiang

The quantum information and the Bures metric are equivalent to each other, except at points where the rank of the density matrix changes. Here we show that by slightly modifying th…

quant-ph2019

Optimal approximate quantum error correction for quantum metrology

Sisi Zhou, Liang Jiang

For a generic set of Markovian noise models, the estimation precision of a parameter associated with the Hamiltonian is limited by the scaling where is the total p…

quant-ph2019

Optimal probes and error-correction schemes in multi-parameter quantum metrology

Wojciech Gorecki, Sisi Zhou, Liang Jiang +1

We derive a necessary and sufficient condition for the possibility of achieving the Heisenberg scaling in general adaptive multi-parameter estimation schemes in presence of Markovi…

quant-ph2018

Stochastic Estimation of Dynamical Variables

Stefan Krastanov, Sisi Zhou, Steven T. Flammia +1

Estimating the parameters governing the dynamics of a system is a prerequisite for its optimal control. We present a simple but powerful method that we call STEADY, for STochastic…