Zhang Jiang
Zhang Jiang
Verified email at google.com
Cited by
Cited by
Quantum supremacy using a programmable superconducting processor
F Arute, K Arya, R Babbush, D Bacon, JC Bardin, R Barends, R Biswas, ...
Nature 574 (7779), 505-510, 2019
Characterizing quantum supremacy in near-term devices
S Boixo, SV Isakov, VN Smelyanskiy, R Babbush, N Ding, Z Jiang, ...
Nature Physics 14 (6), 595-600, 2018
Hartree-Fock on a superconducting qubit quantum computer
F Arute, K Arya, R Babbush, D Bacon, JC Bardin, R Barends, S Boixo, ...
Science 369 (6507), 1084-1089, 2020
OpenFermion: the electronic structure package for quantum computers
JR McClean, NC Rubin, KJ Sung, ID Kivlichan, X Bonet-Monroig, Y Cao, ...
Quantum Science and Technology 5 (3), 034014, 2020
Quantum approximate optimization algorithm for maxcut: A fermionic view
Z Wang, S Hadfield, Z Jiang, EG Rieffel
Physical Review A 97 (2), 022304, 2018
Quantum approximate optimization of non-planar graph problems on a planar superconducting processor
MP Harrigan, KJ Sung, M Neeley, KJ Satzinger, F Arute, K Arya, J Atalaya, ...
Nature Physics 17 (3), 332-336, 2021
Quantum limits on phase-preserving linear amplifiers
CM Caves, J Combes, Z Jiang, S Pandey
Phys. Rev. A 86 (6), 063802, 2012
Demonstrating a continuous set of two-qubit gates for near-term quantum algorithms
B Foxen, C Neill, A Dunsworth, P Roushan, B Chiaro, A Megrant, J Kelly, ...
Physical Review Letters 125 (12), 120504, 2020
Quantum Fisher information for states in exponential form
Z Jiang
Phys. Rev. A 89 (3), 032128, 2014
Quantum algorithms to simulate many-body physics of correlated fermions
Z Jiang, KJ Sung, K Kechedzhi, VN Smelyanskiy, S Boixo
Physical Review Applied 9 (4), 044036, 2018
Understanding Quantum Tunneling through Quantum Monte Carlo Simulations
SV Isakov, G Mazzola, VN Smelyanskiy, Z Jiang, S Boixo, H Neven, ...
Phys. Rev. Lett 117, 180402, 2016
Quantum limits on postselected, probabilistic quantum metrology
J Combes, C Ferrie, Z Jiang, CM Caves
Phys. Rev. A 89 (5), 052117, 2014
Learning to learn with quantum neural networks via classical neural networks
G Verdon, M Broughton, JR McClean, KJ Sung, R Babbush, Z Jiang, ...
arXiv preprint arXiv:1907.05415, 2019
Near-optimal quantum circuit for Grover's unstructured search using a transverse field
Z Jiang, EG Rieffel, Z Wang
Phys. Rev. A 95, 062317, 2017
Increasing the representation accuracy of quantum simulations of chemistry without extra quantum resources
T Takeshita, NC Rubin, Z Jiang, E Lee, R Babbush, JR McClean
Physical Review X 10 (1), 011004, 2020
Quantum limits on probabilistic amplifiers
S Pandey, Z Jiang, J Combes, CM Caves
Phys. Rev. A 88 (3), 033852, 2013
Efficient and noise resilient measurements for quantum chemistry on near-term quantum computers
WJ Huggins, JR McClean, NC Rubin, Z Jiang, N Wiebe, KB Whaley, ...
npj Quantum Information 7 (1), 1-9, 2021
Improved fault-tolerant quantum simulation of condensed-phase correlated electrons via Trotterization
ID Kivlichan, C Gidney, DW Berry, N Wiebe, J McClean, W Sun, Z Jiang, ...
Quantum 4, 296, 2020
A NASA perspective on quantum computing: Opportunities and challenges
R Biswas, Z Jiang, K Kechezhi, S Knysh, S Mandra, B O’Gorman, ...
Parallel Computing 64, 81-98, 2017
Decoding quantum errors with subspace expansions
JR McClean, Z Jiang, NC Rubin, R Babbush, H Neven
Nature communications 11 (1), 1-9, 2020
The system can't perform the operation now. Try again later.
Articles 1–20