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| Evaluating large language models trained on code M Chen, J Tworek, H Jun, Q Yuan, H Ponde de Oliveira Pinto, J Kaplan, ... arXiv preprint arXiv:2107.03374, 2021 | 2952 | 2021 |
| Solving rubik's cube with a robot hand I Akkaya, M Andrychowicz, M Chociej, M Litwin, B McGrew, A Petron, ... arXiv preprint arXiv:1910.07113, 2019 | 1176 | 2019 |
| Text and code embeddings by contrastive pre-training A Neelakantan, T Xu, R Puri, A Radford, JM Han, J Tworek, Q Yuan, ... arXiv preprint arXiv:2201.10005, 2022 | 363 | 2022 |
| Unsupervised machine learning on a hybrid quantum computer JS Otterbach, R Manenti, N Alidoust, A Bestwick, M Block, B Bloom, ... arXiv preprint arXiv:1712.05771, 2017 | 342 | 2017 |
| Demonstration of universal parametric entangling gates on a multi-qubit lattice M Reagor, CB Osborn, N Tezak, A Staley, G Prawiroatmodjo, M Scheer, ... Science advances 4 (2), eaao3603, 2018 | 256 | 2018 |
| Parametrically activated entangling gates using transmon qubits SA Caldwell, N Didier, CA Ryan, EA Sete, A Hudson, P Karalekas, ... Physical Review Applied 10 (3), 034050, 2018 | 177 | 2018 |
| A quantum-classical cloud platform optimized for variational hybrid algorithms PJ Karalekas, NA Tezak, EC Peterson, CA Ryan, MP Da Silva, RS Smith Quantum Science and Technology 5 (2), 024003, 2020 | 129 | 2020 |
| Efficient training of language models to fill in the middle M Bavarian, H Jun, N Tezak, J Schulman, C McLeavey, J Tworek, M Chen arXiv preprint arXiv:2207.14255, 2022 | 117 | 2022 |
| Performing a calibration process in a quantum computing system BJ Bloom, SA Caldwell, MJ Curtis, MJ Reagor, CT Rigetti, EA Sete, ... US Patent 10,282,675, 2019 | 99 | 2019 |
| Parametrically activated quantum logic gates EA Sete, N Didier, MP Da Silva, CT Rigetti, MJ Reagor, SA Caldwell, ... US Patent 10,483,980, 2019 | 81 | 2019 |
| Specification of photonic circuits using quantum hardware description language N Tezak, A Niederberger, DS Pavlichin, G Sarma, H Mabuchi Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2012 | 79 | 2012 |
| Modular control in a quantum computing system MJ Reagor, WJ Zeng, MJG Scheer, BJ Bloom, NA Tezak, N Didier, ... US Patent 11,200,508, 2021 | 71 | 2021 |
| Squeezed light in an optical parametric oscillator network with coherent feedback quantum control O Crisafulli, N Tezak, DBS Soh, MA Armen, H Mabuchi Optics Express 21 (15), 18371-18386, 2013 | 64 | 2013 |
| Quantum noise in large-scale coherent nonlinear photonic circuits C Santori, JS Pelc, RG Beausoleil, N Tezak, R Hamerly, H Mabuchi Physical Review Applied 1 (5), 054005, 2014 | 55 | 2014 |
| Quantum kitchen sinks: An algorithm for machine learning on near-term quantum computers CM Wilson, JS Otterbach, N Tezak, RS Smith, AM Polloreno, ... arXiv preprint arXiv:1806.08321, 2018 | 51 | 2018 |
| Evaluating large language models trained on code. arXiv 2021 M Chen, J Tworek, H Jun, Q Yuan, HPO Pinto, J Kaplan, H Edwards, ... arXiv preprint arXiv:2107.03374 10, 2021 | 47 | 2021 |
| Integrated coherent Ising machines based on self-phase modulation in microring resonators N Tezak, T Van Vaerenbergh, JS Pelc, GJ Mendoza, D Kielpinski, ... IEEE Journal of Selected Topics in Quantum Electronics 26 (1), 1-15, 2019 | 37 | 2019 |
| A coherent perceptron for all-optical learning N Tezak, H Mabuchi EPJ Quantum Technology 2 (1), 1-22, 2015 | 30 | 2015 |
| Low-Latency, High-Performance Hybrid Computing PJ Karalekas, RS Smith, EC Peterson, NA Tezak, AD Lynch, CB Osborn, ... US Patent App. 17/184,702, 2021 | 20 | 2021 |
Matt ReagorYale UniversityVerified email at yale.edu
