activity
20172022
most citedVerifying Random Quantum Circuits with Arbitrary Geometry Using Tensor Network States Algorithm

30 citations · 69 across the 8 of their papers we have counts for

collaborators

28 papers

quant-ph2021

Population transfer under local dephasing

Wei Huang, Wentao Zhang, Chu Guo

Stimulated Raman adiabatic passage is a well-known technique for quantum population transfer due to its robustness again various sources of noises. Here we consider quantum populat…

quant-ph20214 cited

Fast Laser Cooling Using Optimal Quantum Control

Xie-Qian Li, Shuo Zhang, Jie Zhang +3

Cooling down a trapped ion into its motional ground state is a central step for trapped ions based quantum information processing. State of the art cooling schemes often work under…

quant-ph2021

Steady state phonon occupation of EIT cooling: higher order calculations

Shuo Zhang, Tian-Ci Tian, Zheng-Yang Wu +5

Electromagnetically induced transparency (EIT) cooling has established itself as one of the most widely used cooling schemes for trapped ions during the past twenty years. Compared…

quant-ph2020

Fast Cooling of Trapped Ion in Strong Sideband Coupling Regime

Shuo Zhang, Jian-Qi Zhang, Wei Wu +2

Trapped ion in the Lamb-Dicke regime with the Lamb-Dicke parameter can be cooled down to its motional ground state using sideband cooling. Standard sideband cooling works i…

hep-th20201 cited

Simulation of state evolutions in Gross-Neveu model by matrix product state representation

De-Sheng Li, Hao Wang, Chu Guo +2

A quantum algorithm to simulate the real time dynamics of two-flavor massive Gross-Neveu model is presented in Schrodinger picture. We implement the simulation on a classic compute…

quant-ph202030 cited

Verifying Random Quantum Circuits with Arbitrary Geometry Using Tensor Network States Algorithm

Chu Guo, Youwei Zhao, He-Liang Huang

The ability to efficiently simulate random quantum circuits using a classical computer is increasingly important for developing Noisy Intermediate-Scale Quantum devices. Here we pr…