activity
20172019
most citedFeedback Ansatz for Adaptive-Feedback Quantum Metrology Training with Machine Learning

20 citations · 22 across the 3 of their papers we have counts for

collaborators

5 papers

quant-ph201920 cited

Feedback Ansatz for Adaptive-Feedback Quantum Metrology Training with Machine Learning

Yi Peng, Heng Fan

It is challenging to construct metrology schemes which harness quantum features such as entanglement and coherence to surpass the standard quantum limit. We propose an ansatz for d…

quant-ph2018

Observation of dynamical quantum phase transition by a superconducting qubit simulation

Xue-Yi Guo, Chao Yang, Yu Zeng +7

A dynamical quantum phase transition can occur during time evolution of sudden quenched quantum systems across a phase transition. It corresponds to the nonanalytic behavior at a c…

quant-ph2018

A Universal Quantum Computing Virtual Machine

Qian-Tan Hong, Zi-Yong Ge, Wen Wang +8

A medium-scale quantum computer with full universal quantum computing capability is necessary for various practical aims and testing applications. Here we report a 34-qubit quantum…

quant-ph20172 cited

Demonstration of irreversibility and dissipation relation of thermodynamics with a superconducting qubit

Xue-Yi Guo, Yi Peng, Changnan Peng +6

We investigate experimentally the relation between thermodynamical irreversibility and dissipation on a superconducting Xmon qubit. This relation also implies the second law and th…

cond-mat.stat-mech2017

Perturbative analysis of quantum fluctuation theorems in a driven open system

Yi Peng, Heng Fan

We give a perturbative analysis of Crooks relation and Jarzynski equality in an arbitrary driven quantum system weakly coupled to a heat bath. Invoking no efficient Hamiltonian nor…