activity
20172020
collaborators

7 papers

quant-ph2020

Maximal entropy approach for quantum state tomography

Rishabh Gupta, Rongxin Xia, Raphael D. Levine +1

Quantum computation has been growing rapidly in both theory and experiments. In particular, quantum computing devices with a large number of qubits have been developed by IBM, Goog…

quant-ph2020

Qubit coupled cluster singles and doubles variational quantum eigensolver ansatz for electronic structure calculations

Rongxin Xia, Sabre Kais

Variational quantum eigensolver (VQE) for electronic structure calculations is believed to be one major potential application of near term quantum computing. Among all proposed VQE…

quant-ph2019

Hybrid quantum-classical neural network for calculating ground state energies of molecules

Rongxin Xia, Sabre Kais

We present a hybrid quantum classical neural network that can be trained to perform electronic structure calculation and generate potential energy curves of simple molecules. The m…

quant-ph2019

Context aware quantum simulation of a matrix stored in quantum memory

Ammar Daskin, Teng Bian, Rongxin Xia +1

In this paper a storage method and a context-aware circuit simulation idea are presented for the sum of block diagonal matrices. Using the design technique for a generalized circui…

quant-ph2018

Quantum computing methods for electronic states of the water molecule

Teng Bian, Daniel Murphy, Rongxin Xia +2

We compare recently proposed methods to compute the electronic state energies of the water molecule on a quantum computer. The methods include the phase estimation algorithm based…

quant-ph2018

Quantum Machine Learning for Electronic Structure Calculations

Rongxin Xia, Sabre Kais

Considering recent advancements and successes in the development of efficient quantum algorithms for electronic structure calculations --- alongside impressive results using machin…