3 citations · 6 across the 9 of their papers we have counts for
10 papers · 1 filter
Approaches to Simultaneously Solving Variational Quantum Eigensolver Problems
Adam Hutchings, Eric Yarnot, Xinpeng Li +4
The variational quantum eigensolver (VQE), a type of variational quantum algorithm, is a hybrid quantum-classical algorithm to find the lowest-energy eigenstate of a particular Ham…
Efficient Circuit Wire Cutting Based on Commuting Groups
Xinpeng Li, Vinooth Kulkarni, Daniel T. Chen +5
Current quantum devices face challenges when dealing with large circuits due to error rates as circuit size and the number of qubits increase. The circuit wire-cutting technique ad…
QuantumEyes: Towards Better Interpretability of Quantum Circuits
Shaolun Ruan, Qiang Guan, Paul Griffin +2
Quantum computing offers significant speedup compared to classical computing, which has led to a growing interest among users in learning and applying quantum computing across vari…
MEMQSim: Highly Memory-Efficient and Modularized Quantum State-Vector Simulation
Boyuan Zhang, Bo Fang, Qiang Guan +2
In this extended abstract, we have introduced a highly memory-efficient state vector simulation of quantum circuits premised on data compression, harnessing the capabilities of bot…
Toward Consistent High-fidelity Quantum Learning on Unstable Devices via Efficient In-situ Calibration
Zhirui Hu, Robert Wolle, Mingzhen Tian +3
In the near-term noisy intermediate-scale quantum (NISQ) era, high noise will significantly reduce the fidelity of quantum computing. Besides, the noise on quantum devices is not s…
Online Detection of Golden Circuit Cutting Points
Daniel T. Chen, Ethan H. Hansen, Xinpeng Li +7
Quantum circuit cutting has emerged as a promising method for simulating large quantum circuits using a collection of small quantum machines. Running low-qubit "circuit fragments"…