134 citations · 209 across the 11 of their papers we have counts for
11 papers
Efficient and Robust Parameter Optimization of the Unitary Coupled-Cluster Ansatz
Weitang Li, Yufei Ge, Shixin Zhang +2
The variational quantum eigensolver (VQE) framework has been instrumental in advancing near-term quantum algorithms. However, parameter optimization remains a significant bottlenec…
Non-Markovianity Benefits Quantum Dynamics Simulation
Yu-Qin Chen, Shi-Xin Zhang, Shengyu Zhang
Quantum dynamics simulation on analog quantum simulators and digital quantum computer platforms has emerged as a powerful and promising tool for understanding complex non-equilibri…
Quantum approximate optimization via learning-based adaptive optimization
Lixue Cheng, Yu-Qin Chen, Shi-Xin Zhang +1
Combinatorial optimization problems are ubiquitous and computationally hard to solve in general. Quantum approximate optimization algorithm (QAOA), one of the most representative q…
TenCirChem: An Efficient Quantum Computational Chemistry Package for the NISQ Era
Weitang Li, Jonathan Allcock, Lixue Cheng +5
TenCirChem is an open-source Python library for simulating variational quantum algorithms for quantum computational chemistry. TenCirChem shows high performance on the simulation o…
A non-Hermitian Ground State Searching Algorithm Enhanced by Variational Toolbox
Yu-Qin Chen, Shi-Xin Zhang, Chang-Yu Hsieh +1
Ground-state preparation for a given Hamiltonian is a common quantum-computing task of great importance and has relevant applications in quantum chemistry, computational material m…
TensorCircuit: a Quantum Software Framework for the NISQ Era
Shi-Xin Zhang, Jonathan Allcock, Zhou-Quan Wan +13
TensorCircuit is an open source quantum circuit simulator based on tensor network contraction, designed for speed, flexibility and code efficiency. Written purely in Python, and bu…
Variational quantum simulation of the imaginary-time Lyapunov control for accelerating the ground-state preparation
Yu-Cheng Chen, Yu-Qin Chen, Alice Hu +2
Quantum computers have been widely speculated to offer significant advantages in obtaining the ground state of difficult Hamiltonian in chemistry and physics. In this work, we firs…
Spectral Transfer Tensor Method for Non-Markovian Noise Characterization
Yu-Qin Chen, Yi-Cong Zheng, Shengyu Zhang +1
With continuing improvements on the quality of fabricated quantum devices, it becomes increasingly crucial to analyze noisy quantum process in greater details such as characterizin…
Optimizing Quantum Annealing Schedules with Monte Carlo Tree Search enhanced with neural networks
Yu-Qin Chen, Yu Chen, Chee-Kong Lee +2
Quantum annealing is a practical approach to approximately implement the adiabatic quantum computational model under a real-world setting. The goal of an adiabatic algorithm is to…
Non-Markovian Noise Characterization with the Transfer Tensor Method
Yu-Qin Chen, Kai-Li Ma, Yi-Cong Zheng +3
We propose simple protocols for performing quantum noise spectroscopy based on the method of transfer tensor maps (TTM), [Phys. Rev. Lett. 112, 110401 (2014)]. The TTM approach is…
Symmetry Reduction and Boundary Modes for Fe-Chains on an s-wave Superconductor
Yu-Qin Chen, Yi-Ming Wu, Xiong-Jun Liu
We investigate the superconducting phase diagram and boundary modes for a quasi-1D system formed by three Fe-Chains on an s-wave superconductor, motivated by the recent Princeton e…