10 citations · 14 across the 7 of their papers we have counts for
7 papers
Quantum Topological Analysis on Digraphs
Yunpeng Zi, Muchun Yang, D. L. Zhou
Quantum algorithms for topological data analysis provide significant advantages over the best known classical algorithms. Unlike previous work on simplicial complexes built from po…
Tangent Space Excitation Ansatz for Quantum Circuits
Ji-Yao Chen, Bochen Huang, D. L. Zhou +3
Computing excitation spectra of quantum many-body systems is a promising avenue to demonstrate the practical utility of current noisy quantum devices, especially as we move toward…
Measuring Incompatible Observables with Quantum Neural Networks
Muchun Yang, Yibin Huang, D. L. Zhou
The Heisenberg uncertainty principle imposes a fundamental restriction in quantum mechanics, stipulating that measuring one observable completely erases the information on its conj…
Active Quantum Distillation
Muchun Yang, D. L. Zhou
Quantum distillation is a modern technology to decrease the von Neumann entropy of a subsystem by coherent system dynamics. Here we propose an active quantum distillation protocol,…
Optimized Quantum Autoencoder
Yibin Huang, Muchun Yang, D. L. Zhou
Quantum autoencoder (QAE) compresses a bipartite quantum state into its subsystem by a self-checking mechanism. How to characterize the lost information in this process is essentia…
Quantum mutual information redistribution by Number Partitioning algorithm
Muchun Yang, Cheng-Qian Xu, D. L. Zhou
Quantum information distribution in a tripartite state plays a fundamental role in quantum information processes. Here we investigate how a bipartite unitary transformation $U_{AB}…
Unified Quantum State Tomography and Hamiltonian Learning Using Transformer Models: A Language-Translation-Like Approach for Quantum Systems
Zheng An, Jiahui Wu, Muchun Yang +2
Schrödinger's equation serves as a fundamental component in characterizing quantum systems, wherein both quantum state tomography and Hamiltonian learning are instrumental in compr…