162 citations · 1.4k across the 47 of their papers we have counts for
23 papers · 1 filter
Neural network encoded variational quantum algorithms
Jiaqi Miao, Chang-Yu Hsieh, Shi-Xin Zhang
We introduce a general framework called neural network (NN) encoded variational quantum algorithms (VQAs), or NN-VQA for short, to address the challenges of implementing VQAs on no…
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…
Variational Quantum Simulations of Finite-Temperature Dynamical Properties via Thermofield Dynamics
Chee Kong Lee, Shi-Xin Zhang, Chang-Yu Hsieh +2
The recent advancement of quantum computer hardware offers the potential to simulate quantum many-body systems beyond the capability of its classical counterparts. However, most cu…
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…
Variational Quantum-Neural Hybrid Error Mitigation
Shi-Xin Zhang, Zhou-Quan Wan, Chang-Yu Hsieh +2
Quantum error mitigation (QEM) is crucial for obtaining reliable results on quantum computers by suppressing quantum noise with moderate resources. It is a key factor for successfu…
Probing many-body localization by excited-state VQE
Shuo Liu, Shi-Xin Zhang, Chang-Yu Hsieh +2
Non-equilibrium physics including many-body localization (MBL) has attracted increasing attentions, but theoretical approaches of reliably studying non-equilibrium properties remai…
Variational Quantum Simulation of Chemical Dynamics with Quantum Computers
Chee-Kong Lee, Chang-Yu Hsieh, Shengyu Zhang +1
Classical simulation of real-space quantum dynamics is challenging due to the exponential scaling of computational cost with system dimensions. Quantum computer offers the potentia…
Simulation of Condensed-Phase Spectroscopy with Near-term Digital Quantum Computer
Chee-Kong Lee, Chang-Yu Hsieh, Shengyu Zhang +1
Spectroscopy is an indispensable tool in understanding the structures and dynamics of molecular systems. However computational modelling of spectroscopy is challenging due to the e…
Variational Quantum-Neural Hybrid Eigensolver
Shi-Xin Zhang, Zhou-Quan Wan, Chee-Kong Lee +3
The variational quantum eigensolver (VQE) is one of the most representative quantum algorithms in the noisy intermediate-size quantum (NISQ) era, and is generally speculated to del…
The prospects of Monte Carlo antibody loop modelling on a fault-tolerant quantum computer
Jonathan Allcock, Anna Vangone, Agnes Meyder +4
Quantum computing for the biological sciences is an area of rapidly growing interest, but specific industrial applications remain elusive. Quantum Markov chain Monte Carlo has been…
Neural Predictor based Quantum Architecture Search
Shi-Xin Zhang, Chang-Yu Hsieh, Shengyu Zhang +1
Variational quantum algorithms (VQAs) are widely speculated to deliver quantum advantages for practical problems under the quantum-classical hybrid computational paradigm in the ne…
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…
Differentiable Quantum Architecture Search
Shi-Xin Zhang, Chang-Yu Hsieh, Shengyu Zhang +1
Quantum architecture search (QAS) is the process of automating architecture engineering of quantum circuits. It has been desired to construct a powerful and general QAS platform wh…
A Neural-Network Variational Quantum Algorithm for Many-Body Dynamics
Chee-Kong Lee, Pranay Patil, Shengyu Zhang +1
We propose a neural-network variational quantum algorithm to simulate the time evolution of quantum many-body systems. Based on a modified restricted Boltzmann machine (RBM) wavefu…
A quantum extension of SVM-perf for training nonlinear SVMs in almost linear time
Jonathan Allcock, Chang-Yu Hsieh
We propose a quantum algorithm for training nonlinear support vector machines (SVM) for feature space learning where classical input data is encoded in the amplitudes of quantum st…
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…
Unitary-Coupled Restricted Boltzmann Machine Ansatz for Quantum Simulations
Chang-yu Hsieh, Qiming Sun, Shengyu Zhang +1
Neural-Network Quantum State (NQS) has attracted significant interests as a powerful wave-function ansatz to model quantum phenomena. In particular, a variant of NQS based on the r…
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…
Quantum algorithms for feedforward neural networks
Jonathan Allcock, Chang-Yu Hsieh, Iordanis Kerenidis +1
Quantum machine learning has the potential for broad industrial applications, and the development of quantum algorithms for improving the performance of neural networks is of parti…
Efficiency at maximum power of a quantum Carnot engine with temperature tunable baths
Junjie Liu, Chang-Yu Hsieh, Jianshu Cao
We investigate the efficiency at maximum power (EMP) of irreversible quantum Carnot engines that perform finite-time cycles between two temperature tunable baths. The temperature f…
Optimizing Quantum Walk Search on a Reduced Uniform Complete Multi-Partite Graph
Chen-Fu Chiang, Chang-Yu Hsieh
In a recent work by Novo et al. (Sci. Rep. 5, 13304, 2015), the invariant subspace method was applied to the study of continuous-time quantum walk (CTQW). The method helps to reduc…
Analysis of geometric phase effects in the quantum-classical Liouville formalism
Ilya G. Ryabinkin, Chang-Yu Hsieh, Raymond Kapral +1
We analyze two approaches to the quantum-classical Liouville (QCL) formalism that differ in the order of two operations: Wigner transformation and projection onto adiabatic electro…