3 papers
quant-ph2024
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,…
quant-ph2024
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…
quant-ph2023
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…