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Bibek Pokharel
Bibek Pokharel
IBM Quantum
在 ibm.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
1922018
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
372023
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
312022
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
232018
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
82021
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
52023
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
52021
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
52021
Empirical learning of dynamical decoupling on quantum processors
C Tong, H Zhang, B Pokharel
arXiv preprint arXiv:2403.02294, 2024
42024
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
32024
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
32021
Efficiently Computing the Jones Polynomial on a Quantum Computer
B Pokharel, R Jennings, K Schiller
2015
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