| Machine learning phase transitions with a quantum processor AV Uvarov, AS Kardashin, JD Biamonte Physical Review A 102 (1), 012415, 2020 | 73 | 2020 |
| Quantum Machine Learning Tensor Network States A Kardashin, A Uvarov, J Biamonte Frontiers in Physics 8, 644, 2021 | 25 | 2021 |
| Numerical hardware-efficient variational quantum simulation of a soliton solution A Kardashin, A Pervishko, J Biamonte, D Yudin Physical Review A 104 (2), L020402, 2021 | 21* | 2021 |
| Variational simulation of Schwinger's Hamiltonian with polarization qubits OV Borzenkova, GI Struchalin, AS Kardashin, VV Krasnikov, NN Skryabin, ... Applied Physics Letters 118 (14), 2021 | 18 | 2021 |
| Certified variational quantum algorithms for eigenstate preparation A Kardashin, A Uvarov, D Yudin, J Biamonte Physical Review A 102 (5), 052610, 2020 | 16 | 2020 |
| Quantum-machine-learning channel discrimination A Kardashin, A Vlasova, A Pervishko, D Yudin, J Biamonte Physical Review A 106 (3), 032409, 2022 | 11 | 2022 |
| Predicting properties of quantum systems by regression on a quantum computer A Kardashin, Y Balkybek, K Antipin, VV Palyulin arXiv preprint arXiv:2407.08847, 2024 | | 2024 |
| ON APPLICATIONS OF VARIATIONAL QUANTUM CIRCUITS A KARDASHIN | | 2023 |
Jacob BiamonteNASA Ames Research Center, USRA在 nasa.gov 的电子邮件经过验证
