46 citations · 141 across the 13 of their papers we have counts for
4 papers · 1 filter
Simulating noisy variational quantum eigensolver with local noise models
Jinfeng Zeng, Zipeng Wu, Chenfeng Cao +4
Variational quantum eigensolver (VQE) is promising to show quantum advantage on near-term noisy-intermediate-scale quantum (NISQ) computers. One central problem of VQE is the effec…
Supervised learning in Hamiltonian reconstruction from local measurements on eigenstates
Chenfeng Cao, Shi-Yao Hou, Ningping Cao +1
Reconstructing a system Hamiltonian through measurements on its eigenstates is an important inverse problem in quantum physics. Recently, it was shown that generic many-body local…
Neural Networks for Quantum Inverse Problems
Ningping Cao, Jie Xie, Aonan Zhang +3
Quantum Inverse Problem (QIP) is the problem of estimating an unknown quantum system from a set of measurements, whereas the classical counterpart is the Inverse Problem of est…
Simulating Noisy Quantum Circuits with Matrix Product Density Operators
Song Cheng, Chenfeng Cao, Chao Zhang +4
Simulating quantum circuits with classical computers requires resources growing exponentially in terms of system size. Real quantum computer with noise, however, may be simulated p…