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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 | 336 | 2017 |
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 | 327 | 2022 |
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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 | 128 | 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 | 103 | 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 | 96 | 2019 |
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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 |
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