32 citations · 72 across the 12 of their papers we have counts for
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An Adaptive Weighted QITE-VQE Algorithm for Combinatorial Optimization Problems
Ningyi Xie, Xinwei Lee, Tiejin Chen +3
The variational quantum eigensolver (VQE) is an algorithm for finding the ground states of a given Hamiltonian. Its application to binary-formulated combinatorial optimization (CO)…
Performance Upper Bound of Grover-Mixer Quantum Alternating Operator Ansatz
Ningyi Xie, Jiahua Xu, Tiejin Chen +4
The Quantum Alternating Operator Ansatz (QAOA) represents a branch of quantum algorithms for solving combinatorial optimization problems. A specific variant, the Grover-Mixer Quant…
Feed-Forward Probabilistic Error Cancellation with Noisy Recovery Gates
Leo Kurosawa, Yoshiyuki Saito, Xinwei Lee +5
Probabilistic Error Cancellation (PEC) aims to improve the accuracy of expectation values for observables. This is accomplished using the probabilistic insertion of recovery gates,…
Light Cone Cancellation for Variational Quantum Eigensolver in Solving Noisy Max-Cut
Xinwei Lee, Xinjian Yan, Ningyi Xie +5
Variational Quantum Eigensolver (VQE) is a quantum-classical hybrid algorithm used to estimate the ground energy of a given Hamiltonian. It consists of a parameterized quantum circ…
Iterative Layerwise Training for Quantum Approximate Optimization Algorithm
Xinwei Lee, Xinjian Yan, Ningyi Xie +3
The capability of the quantum approximate optimization algorithm (QAOA) in solving the combinatorial optimization problems has been intensively studied in recent years due to its a…
A Feasibility-Preserved Quantum Approximate Solver for the Capacitated Vehicle Routing Problem
Ningyi Xie, Xinwei Lee, Dongsheng Cai +3
The Capacitated Vehicle Routing Problem (CVRP) is an NP-optimization problem (NPO) that arises in various fields including transportation and logistics. The CVRP extends from the V…
Quantum Multi-Resolution Measurement with application to Quantum Linear Solver
Yoshiyuki Saito, Xinwei Lee, Dongsheng Cai +1
Quantum computation consists of a quantum state corresponding to a solution, and measurements with some observables. To obtain a solution with an accuracy , measurements $O(n/ε^…
Quantum Approximate Optimization Algorithm Parameter Prediction Using a Convolutional Neural Network
Ningyi Xie, Xinwei Lee, Dongsheng Cai +2
The Quantum approximate optimization algorithm (QAOA) is a quantum-classical hybrid algorithm aiming to produce approximate solutions for combinatorial optimization problems. In th…
A Depth-Progressive Initialization Strategy for Quantum Approximate Optimization Algorithm
Xinwei Lee, Ningyi Xie, Yoshiyuki Saito +2
The quantum approximate optimization algorithm (QAOA) is known for its capability and universality in solving combinatorial optimization problems on near-term quantum devices. The…
An Iterative Improvement Method for HHL algorithm for Solving Linear System of Equations
Yoshiyuki Saito, Xinwei Lee, Dongsheng Cai +1
We propose an iterative improvement method for the Harrow-Hassidim-Lloyd (HHL) algorithm to solve a linear system of equations. This is a quantum-classical hybrid algorithm. The ac…
Parameters Fixing Strategy for Quantum Approximate Optimization Algorithm
Xinwei Lee, Yoshiyuki Saito, Dongsheng Cai +1
The quantum approximate optimization algorithm (QAOA) has numerous promising applications in solving the combinatorial optimization problems on near-term Noisy Intermediate Scalabl…