| Tensorflow quantum: A software framework for quantum machine learning M Broughton, G Verdon, T McCourt, AJ Martinez, JH Yoo, SV Isakov, ... arXiv preprint arXiv:2003.02989, 2020 | 378 | 2020 |
| Calibration of Flux Crosstalk in Large-Scale Flux-Tunable Superconducting Quantum Circuits X Dai, DM Tennant, R Trappen, AJ Martinez, D Melanson, MA Yurtalan, ... PRX Quantum 2, 040313, 2021 | 33 | 2021 |
| Tunable three-body coupler for superconducting flux qubits D Melanson, AJ Martinez, S Bedkihal, A Lupascu arXiv preprint arXiv:1909.02091, 2019 | 10 | 2019 |
| Provably efficient variational generative modeling of quantum many-body systems via quantum-probabilistic information geometry FM Sbahi, AJ Martinez, S Patel, D Saberi, JH Yoo, G Roeder, G Verdon arXiv preprint arXiv:2206.04663, 2022 | 7 | 2022 |
| Quantum mean-value approximator for hard integer-value problems D Joseph, AJ Martinez, C Ling, F Mintert Physical Review A 105 (5), 052419, 2022 | 6 | 2022 |
| Demonstration of long-range correlations via susceptibility measurements in a one-dimensional superconducting Josephson spin chain DM Tennant, X Dai, AJ Martinez, R Trappen, D Melanson, MA Yurtalan, ... npj Quantum Information 8 (1), 85, 2022 | 5 | 2022 |
| Parity measurement via ancillary RF-SQUIDs for superconducting flux qubit quantum annealers A Martinez, D Melanson, D Tennant, Y Tang, S Novikov, S Disseler, ... APS March Meeting Abstracts 2019, P42. 012, 2019 | | 2019 |
| Analyzing Mis-Specification and Noise in Superconducting Flux-Qubit Quantum Annealers A Martinez, D Melanson, H Sun, MA Yurtalan, YC Tang, A Lupascu APS March Meeting Abstracts 2018, C26. 010, 2018 | | 2018 |
