5 papers
Perturbative Variational Quantum Eigensolver via Reduced Density Matrices
Yuhan Zheng, Yibin Guo, Huili Zhang +5
Current noisy intermediate-scale quantum (NISQ) devices remain limited in their ability to perform accurate quantum chemistry simulations due to restricted numbers of high-fidelity…
False Positives Raised by Quantum Readout Error Mitigation
Yibin Guo, Yi Fan, Pei Liu +7
Quantum readout error mitigation is essential for noisy intermediate-scale quantum devices to achieve reliable data. The conventional approaches, conflating initialization errors w…
Simultaneous determination of multiple low-lying energy levels on a superconducting quantum processor
Huili Zhang, Yibin Guo, Guanglei Xu +4
Determining the ground and low-lying excited states is critical in numerous scenarios. Recent work has proposed the ancilla-entangled variational quantum eigensolver (AEVQE) that u…
Robust and Efficient Quantum Reservoir Computing with Discrete Time Crystal
Da Zhang, Xin Li, Yibin Guo +3
The rapid development of machine learning and quantum computing has placed quantum machine learning at the forefront of research. However, existing quantum machine learning algorit…
Simultaneous determination of multiple low-energy eigenstates of many-body systems on a superconducting quantum processor
Huili Zhang, Yibin Guo, Guanglei Xu +4
The determination of the ground and low-lying excited states is critical in many studies of quantum chemistry and condensed-matter physics. Recent theoretical work proposes a varia…