activity
20142020
most citedOptimizing adiabatic quantum pathways via a learning algorithm

13 citations · 24 across the 5 of their papers we have counts for

collaborators

5 papers

quant-ph202013 cited

Optimizing adiabatic quantum pathways via a learning algorithm

Xiaodong Yang, Ran Liu, Jun Li +1

Designing proper time-dependent control fields for slowly varying the system to the ground state that encodes the problem solution is crucial for adiabatic quantum computation. How…

quant-ph20201 cited

Quantum Pure State Tomography via Variational Hybrid Quantum-Classical Method

Tao Xin, Xinfang Nie, Xiangyu Kong +3

To obtain a complete description of a quantum system, one usually employs standard quantum state tomography, which however requires exponential number of measurements to perform an…

quant-ph2019

Subsystem-based Approach to Scalable Quantum Optimal Control

Jun Li

The development of quantum control methods is an essential task for emerging quantum technologies. In general, the process of optimizing quantum controls scales very unfavorably in…

quant-ph201610 cited

Compilation of selective pulse network on liquid-state nuclear magnetic resonance system

Jun Li, Jiangyu Cui, Raymond Laflamme +1

In creating a large-scale quantum information processor, the ability to construct control pulses for implementing an arbitrary quantum circuit in a scalable manner is an important…

quant-ph2014

Probing the non-locality of Majorana fermions via quantum correlations

Jun Li, Ting Yu, Hai-Qing Lin +1

Majorana fermions (MFs) are exotic particles that are their own anti-particles. Recently, the search for the MFs occurring as quasi-particle excitations in solid-state systems has…