| Neural-network quantum state tomography G Torlai, G Mazzola, J Carrasquilla, M Troyer, R Melko, G Carleo Nature Physics 14, 447–450, 2018 | 927 | 2018 |
| Evidence for supercritical behaviour of high-pressure liquid hydrogen B Cheng, G Mazzola, CJ Pickard, M Ceriotti Nature 585 (7824), 217-220, 2020 | 138 | 2020 |
| A threshold for quantum advantage in derivative pricing S Chakrabarti, R Krishnakumar, G Mazzola, N Stamatopoulos, S Woerner, ... Quantum 5, 463, 2021 | 134 | 2021 |
| NetKet: A machine learning toolkit for many-body quantum systems G Carleo, K Choo, D Hofmann, JET Smith, T Westerhout, F Alet, EJ Davis, ... SoftwareX 10, 100311, 2019 | 133 | 2019 |
| Understanding Quantum Tunneling through Quantum Monte Carlo Simulations SV Isakov, G Mazzola, VN Smelyanskiy, Z Jiang, S Boixo, H Neven, ... Physical Review Letters 117, 180402, 2016 | 117 | 2016 |
| Phase diagram of hydrogen and a hydrogen-helium mixture at planetary conditions by Quantum Monte Carlo simulations G Mazzola, R Helled, S Sorella Physical review letters 120 (2), 025701, 2018 | 98 | 2018 |
| Learning to measure: Adaptive informationally complete generalized measurements for quantum algorithms G García-Pérez, MAC Rossi, B Sokolov, F Tacchino, PK Barkoutsos, ... Prx quantum 2 (4), 040342, 2021 | 89 | 2021 |
| Precise measurement of quantum observables with neural-network estimators G Torlai, G Mazzola, G Carleo, A Mezzacapo Physical Review Research 2 (2), 022060, 2020 | 85 | 2020 |
| Unexpectedly high pressure for molecular dissociation in liquid hydrogen by electronic simulation G Mazzola, S Yunoki, S Sorella Nature Communications 5 (3487), 3487, 2014 | 85 | 2014 |
| Nonadiabatic molecular quantum dynamics with quantum computers PJ Ollitrault, G Mazzola, I Tavernelli Physical Review Letters 125 (26), 260511, 2020 | 78 | 2020 |
| Ab-initio molecular dynamics simulation of liquid water by Quantum Monte Carlo A Zen, Y Luo, G Mazzola, L Guidoni, S Sorella The Journal of Chemical Physics 142, 144111, 2015 | 78 | 2015 |
| Toward scalable simulations of lattice gauge theories on quantum computers SV Mathis, G Mazzola, I Tavernelli Physical Review D 102 (9), 094501, 2020 | 69 | 2020 |
| Scaling analysis and instantons for thermally assisted tunneling and quantum Monte Carlo simulations Z Jiang, VN Smelyanskiy, SV Isakov, S Boixo, G Mazzola, M Troyer, ... Physical Review A 95 (1), 012322, 2017 | 64 | 2017 |
| TurboRVB: A many-body toolkit for ab initio electronic simulations by quantum Monte Carlo K Nakano, C Attaccalite, M Barborini, L Capriotti, M Casula, E Coccia, ... The Journal of Chemical Physics 152 (20), 2020 | 62 | 2020 |
| Quantum optimization: Potential, challenges, and the path forward A Abbas, A Ambainis, B Augustino, A Bärtschi, H Buhrman, C Coffrin, ... arXiv preprint arXiv:2312.02279, 2023 | 55 | 2023 |
| Understanding dense hydrogen at planetary conditions R Helled, G Mazzola, R Redmer Nature Reviews Physics 2 (10), 562-574, 2020 | 52 | 2020 |
| Distinct Metallization and Atomization Transitions in Dense Liquid Hydrogen G Mazzola, S Sorella Physical Review Letters 114, 105701, 2015 | 51 | 2015 |
| Quantum-enhanced markov chain monte carlo D Layden, G Mazzola, RV Mishmash, M Motta, P Wocjan, JS Kim, ... Nature 619 (7969), 282-287, 2023 | 47 | 2023 |
| Uncertain fate of fair sampling in quantum annealing MS Könz, G Mazzola, AJ Ochoa, HG Katzgraber, M Troyer Physical Review A 100 (3), 030303, 2019 | 46 | 2019 |
| Microcanonical and finite-temperature ab initio molecular dynamics simulations on quantum computers IO Sokolov, PK Barkoutsos, L Moeller, P Suchsland, G Mazzola, ... Physical Review Research 3 (1), 013125, 2021 | 43 | 2021 |
Matthias TroyerMicrosoft QuantumVerified email at microsoft.com
