Demonstration of fidelity improvement using dynamical decoupling with superconducting qubits B Pokharel, N Anand, B Fortman, DA Lidar Physical review letters 121 (22), 220502, 2018 | 192 | 2018 |
Dynamical decoupling for superconducting qubits: a performance survey N Ezzell, B Pokharel, L Tewala, G Quiroz, DA Lidar Physical Review Applied 20 (6), 064027, 2023 | 60* | 2023 |
Demonstration of algorithmic quantum speedup B Pokharel, DA Lidar Physical Review Letters 130 (21), 210602, 2023 | 37 | 2023 |
Predicting non-Markovian superconducting-qubit dynamics from tomographic reconstruction H Zhang, B Pokharel, EM Levenson-Falk, D Lidar Physical Review Applied 17 (5), 054018, 2022 | 31 | 2022 |
Chaos and dynamical complexity in the quantum to classical transition B Pokharel, MZR Misplon, W Lynn, P Duggins, K Hallman, D Anderson, ... Scientific Reports 8 (1), 2108, 2018 | 23 | 2018 |
Pulse variational quantum eigensolver on cross-resonance-based hardware DJ Egger, C Capecci, B Pokharel, PK Barkoutsos, LE Fischer, L Guidoni, ... Physical Review Research 5 (3), 033159, 2023 | 19* | 2023 |
Better-than-classical Grover search via quantum error detection and suppression B Pokharel, DA Lidar npj Quantum Information 10 (1), 23, 2024 | 12* | 2024 |
Investigating the Chinese postman problem on a quantum annealer I Siloi, V Carnevali, B Pokharel, M Fornari, R Di Felice Quantum Machine Intelligence 3 (1), 3, 2021 | 8 | 2021 |
Scalable measurement error mitigation via iterative bayesian unfolding B Pokharel, S Srinivasan, G Quiroz, B Boots Physical Review Research 6 (1), 013187, 2024 | 7* | 2024 |
Inter-generational comparison of quantum annealers in solving hard scheduling problems B Pokharel, ZG Izquierdo, PA Lott, E Strbac, K Osiewalski, ... Quantum Information Processing 22 (10), 364, 2023 | 5 | 2023 |
Phase transitions in the frustrated Ising ladder with stoquastic and nonstoquastic catalysts K Takada, S Sota, S Yunoki, B Pokharel, H Nishimori, DA Lidar Physical Review Research 3 (4), 043013, 2021 | 5 | 2021 |
Towards a trace-preserving tensor network representation of quantum channels S Srinivasan, S Adhikary, J Miller, B Pokharel, G Rabusseau, B Boots Second Workshop on Quantum Tensor Networks in Machine Learning, 35th …, 2021 | 5 | 2021 |
Empirical learning of dynamical decoupling on quantum processors C Tong, H Zhang, B Pokharel arXiv preprint arXiv:2403.02294, 2024 | 4 | 2024 |
Dynamically Generated Decoherence-Free Subspaces and Subsystems on Superconducting Qubits G Quiroz, B Pokharel, J Boen, L Tewala, V Tripathi, D Williams, LA Wu, ... arXiv preprint arXiv:2402.07278, 2024 | 3 | 2024 |
Chaos in the quantum Duffing oscillator in the semiclassical regime under parametrized dissipation AD Maris, B Pokharel, SG Seshachallam, MZR Misplon, AK Pattanayak Physical Review E 104 (2), 024206, 2021 | 3 | 2021 |
Efficiently Computing the Jones Polynomial on a Quantum Computer B Pokharel, R Jennings, K Schiller | | 2015 |