Fetching the paper…
Reading the bibliography…
The opportunities afforded by near-term quantum computers to calculate the ground-state properties of small molecules depend on the structure of the computational ansatz as well as the errors induced by device noise.
Nocedal, J.: Updating quasi-newton matrices with limited storage. Math. Comp. 35
1980
Earlier work this paper cites.
Szabo, A., Ostlund, N.S.: Modern Quantum Chemistry. Dover Publications, Mineola, New York (1984)
1984
Earlier work this paper cites.
Liu, D.C., Nocedal, J.: On the limited memory BFGS method for large scale optimization. Mathematical Programming 45
1989
Earlier work this paper cites.
Powell, M.J.D.: Direct search algorithms for optimization calculations 7
1998
Earlier work this paper cites.
Whitfield, J.D., Biamonte, J., Aspuru-Guzik, A.: Simulation of electronic structure hamiltonians using quantum computers. Molecular Physics 109
2011
Earlier work this paper cites.
McClean, J.R., Romero, J., Babbush, R., Aspuru-Guzik, A.: The theory of variational hybrid quantum-classical algorithms. New Journal of Physics 18
2016
Earlier work this paper cites.
O’Malley, P.J.J., Babbush, R., Kivlichan, I.D., Romero, J., McClean, J.R., Barends, R., Kelly, J., Roushan, P., Tranter, A., Ding, N., Campbell, B., Chen, Y., Chen, Z., Chiaro, B., Dunsworth, A., Fowler, A.G., Jeffrey, E., Lucero, E., Megrant, A., Mutus, J.Y., Neeley, M., Neill, C., Quintana, C., Sank, D., Vainsencher, A., Wenner, J., White, T.C., Coveney, P.V., Love, P.J., Neven, H., Aspuru-Guzik, A., Martinis, J.M.: Scalable quantum simulation of molecular energies. Phys. Rev. X 6
2016
Earlier work this paper cites.
Wallman, J.J., Emerson, J.: Noise tailoring for scalable quantum computation via randomized compiling. Phys. Rev. A 94
2016
Earlier work this paper cites.
Kandala, A., Mezzacapo, A., Temme, K., Takita, M., Brink, M., Chow, J.M., Gambetta, J.M.: Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets. Nature 549
2017
Earlier work this paper cites.
Temme, K., Bravyi, S., Gambetta, J.M.: Error mitigation for short-depth quantum circuits. Phys. Rev. Lett. 119
2017
Earlier work this paper cites.
Preskill, J.: Quantum computing in the nisq era and beyond. Quantum 2
2018
Earlier work this paper cites.
Romero, J., Babbush, R., McClean, J.R., Hempel, C., Love, P.J., Aspuru-Guzik, A.: Strategies for quantum computing molecular energies using the unitary coupled cluster ansatz. Quantum Science and Technology 4
2018
Earlier work this paper cites.
Barkoutsos, P.K., Gonthier, J.F., Sokolov, I., Moll, N., Salis, G., Fuhrer, A., Ganzhorn, M., Egger, D.J., Troyer, M., Mezzacapo, A., Filipp, S., Tavernelli, I.: Quantum algorithms for electronic structure calculations: Particle-hole hamiltonian and optimized wave-function expansions. Phys. Rev. A 98
2018
Earlier work this paper cites.
2018
Earlier work this paper cites.
Curtin, R.R., Edel, M., Lozhnikov, M., Mentekidis, Y., Ghaisas, S., Zhang, S.: mlpack 3: a fast, flexible C++ machine learning library. Journal of Open Source Software 3
2018
Earlier work this paper cites.
Sun, Q., Berkelbach, T.C., Blunt, N.S., Booth, G.H., Sheng Guo, Z.L., Junzi Liu, J.D.M., Sayfutyarova, E.R., Sharma, S., Wouters, S., Chan, G.K.-L.: Software focus pyscf: the python-based simulations of chemistry framework. WIREs Computational Molecular Science 8
2018
Cited alongside, same era.
Cao, Y., Romero, J., Olson, J.P., Degroote, M., Johnson, P.D., Kieferová, M., Kivlichan, I.D., Menke, T., Peropadre, B., Sawaya, N.P., et al
2019
Cited alongside, same era.
McCaskey, A.J., Parks, Z.P., Jakowski, J., Moore, S.V., Morris, T.D., Humble, T.S., Pooser, R.C.: Quantum chemistry as a benchmark for near-term quantum computers. npj Quantum Information 5
2019
Cited alongside, same era.
Grimsley, H.R., Claudino, D., Economou, S.E., Barnes, E., Mayhall, N.J.: Is the trotterized uccsd ansatz chemically well-defined? Journal of chemical theory and computation 16
2019
Cited alongside, same era.
Smart, S.E., Mazziotti, D.A.: Efficient two-electron ansatz for benchmarking quantum chemistry on a quantum computer. Phys. Rev. Research 2
2020
Later among the works it cites.
Claudino, D., Wright, J., McCaskey, A.J., Humble, T.S.: Benchmarking adaptive variational quantum eigensolvers. Frontiers in Chemistry 8
2020
Later among the works it cites.
Sokolov, I.O., Barkoutsos, P.K., Ollitrault, P.J., Greenberg, D., Rice, J., Pistoia, M., Tavernelli, I.: Quantum orbital-optimized unitary coupled cluster methods in the strongly correlated regime: Can quantum algorithms outperform their classical equivalents? The Journal of chemical physics 152
2020
Later among the works it cites.
McCaskey, A.J., Lyakh, D.I., Dumitrescu, E.F., Powers, S.S., Humble, T.S.: XACC: a system-level software infrastructure for heterogeneous quantum–classical computing. Quantum Science and Technology 5
2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Bauman, N.P., Low, G.H., Kowalski, K.: Quantum simulations of excited states with active-space downfolded hamiltonians. The Journal of chemical physics 151
2019
Cited alongside, same era.
Grimsley, H.R., Economou, S.E., Barnes, E., Mayhall, N.J.: An adaptive variational algorithm for exact molecular simulations on a quantum computer. Nature communications 10
2019
Cited alongside, same era.
Sagastizabal, R., Bonet-Monroig, X., Singh, M., Rol, M.A., Bultink, C.C., Fu, X., Price, C.H., Ostroukh, V.P., Muthusubramanian, N., Bruno, A., Beekman, M., Haider, N., O’Brien, T.E., DiCarlo, L.: Experimental error mitigation via symmetry verification in a variational quantum eigensolver. Phys. Rev. A 100
2019
Cited alongside, same era.
McArdle, S., Endo, S., Aspuru-Guzik, A., Benjamin, S.C., Yuan, X.: Quantum computational chemistry. Rev. Mod. Phys. 92
2020
Cited alongside, same era.
Bauer, B., Bravyi, S., Motta, M., Chan, G.K.-L.: Quantum algorithms for quantum chemistry and quantum materials science. Chemical Reviews 120
2020
Cited alongside, same era.
Sokolov, I.O., Barkoutsos, P.K., Ollitrault, P.J., Greenberg, D., Rice, J., Pistoia, M., Tavernelli, I.: Quantum orbital-optimized unitary coupled cluster methods in the strongly correlated regime: Can quantum algorithms outperform their classical equivalents? The Journal of Chemical Physics 152
2020
Cited alongside, same era.
Arute, F., Arya, K., Babbush, R., Bacon, D., Bardin, J.C., Barends, R., Boixo, S., Broughton, M., Buckley, B.B., Buell, D.A., et al
2020
Cited alongside, same era.
Xia, R., Kais, S.: Qubit coupled cluster singles and doubles variational quantum eigensolver ansatz for electronic structure calculations. Quantum Science and Technology 6
2020
Cited alongside, same era.
Beale, S.J., Carignan-Dugas, A., Dahlen, D., Emerson, J., Hincks, I., Iyer, P., Jain, A., Hufnagel, D., Ospadov, E., Saunders, J., Stasiuk, A., Wallman, J.J., Winick, A.: True-Q. Zenodo (2020). doi: 10.5281/zenodo.3945250
2020
Later among the works it cites.
2021
Closest in time.
Yeter-Aydeniz, K., Gard, B.T., Jakowski, J., Majumder, S., Barron, G.S., Siopsis, G., Humble, T.S., Pooser, R.C.: Benchmarking quantum chemistry computations with variational, imaginary time evolution, and krylov space solver algorithms. Advanced Quantum Technologies, 2100012 (2021)
2021
Closest in time.
Elfving, V.E., Millaruelo, M., Gámez, J.A., Gogolin, C.: Simulating quantum chemistry in the seniority-zero space on qubit-based quantum computers. Physical Review A 103
2021
Closest in time.
Tkachenko, N.V., Sud, J., Zhang, Y., Tretiak, S., Anisimov, P.M., Arrasmith, A.T., Coles, P.J., Cincio, L., Dub, P.A.: Correlation-informed permutation of qubits for reducing ansatz depth in the variational quantum eigensolver. PRX Quantum 2
2021
Closest in time.
Tang, H.L., Shkolnikov, V., Barron, G.S., Grimsley, H.R., Mayhall, N.J., Barnes, E., Economou, S.E.: qubit-adapt-vqe: An adaptive algorithm for constructing hardware-efficient ansätze on a quantum processor. PRX Quantum 2
2021
Closest in time.
Hashim, A., Naik, R.K., Morvan, A., Ville, J.-L., Mitchell, B., Kreikebaum, J.M., Davis, M., Smith, E., Iancu, C., O’Brien, K.P., Hincks, I., Wallman, J.J., Emerson, J., Siddiqi, I.: Randomized compiling for scalable quantum computing on a noisy superconducting quantum processor. Phys. Rev. X (accepted, 2021)
2021
Closest in time.
Dahlhauser, M.L., Humble, T.S.: Modeling noisy quantum circuits using experimental characterization. Physical Review A 103
2021
Closest in time.
2021
Closest in time.
Gowrishankar, M., Wright, J., Claudino, D., Nguyen, T., McCaskey, A., Humble, T.: Numerical simulations of noisy variational quantum eigensolver ansatz circuits. 2021 IEEE Intl. Conf. on Quantum Computing and Engineering (2021)
2021
Closest in time.