Peer Reviewed
1. Predicting Non-Markovian Superconducting-Qubit Dynamics from Tomographic Reconstruction
H. Zhang, BP, E. M. Levenson-Falk, and D. A. Lidar
[PRApplied (2022)]
2. Phase transitions in the frustrated Ising ladder with stoquastic and nonstoquastic catalysts
K. Takada, S. Sota, S. Yunoki, BP, H. Nishimori, and D. A. Lidar
[PRResearch (2021)]
3. Chaos in the quantum Duļ¬ing oscillator in the semiclassical regime under parametrized dissipation
A. D. Maris1, BP1 , S. G. Seshachallam, M. Z. Misplon, and A. K. Pattanayak
[PRE (2021)]
4. Towards a Trace-Preserving Tensor Network Representation of Quantum Channels
S. Srinivasan, S. Adhikary, J. Miller, BP, G. Rabusseau, and B. Boots
[NeurIPS 2021]
5. Investigating the Chinese postman problem on a quantum annealer
I. Siloi, V. Carnevali, BP, M. Fornari, and R. Di Felice
[Quantum Machine Intelligence (2021)]
6. Demonstration of fidelity improvement using dynamical decoupling with superconducting qubits
BP, N. Anand, B. Fortman, and D. A. Lidar
[PRL (2018)]
7. Chaos and dynamical complexity in the quantum to classical transition
BP1, M. Z. Misplon1, P. Duggins, K. Hallman. D. Anderson, A. Kapulkin, and A. K. Pattanayak
[Sci.Rep. (2018)]
Preprints
8. Better-than-classical Grover search via error detection and error suppression
BP, and D. A. Lidar
[arXiv (2022)]
9. Scalable Measurement Error Mitigation via Iterative Bayesian Unfolding
S. Srinivasan1 , BP1 , G. Quiroz, and B. Boots
[arXiv (2022)]
10. Demonstration of algorithmic quantum speedup
BP, and D. A. Lidar
[arXiv (2022)]
11. Dynamical decoupling for superconducting qubits: a performance survey
N. Ezzell, BP, L. Tewala, G. Quiroz, and D. A. Lidar
[arXiv (2022)]
12. Inter-generational comparison of quantum annealers in solving hard scheduling problems
BP, Z. G. Izquierdo, P. A. Lott, E. Strbac, K. Osiewalski, E. Papathanasiou, A. Kondratyev, D. Venturelli, and E. Rieffel
[arXiv (2022)]
1 co-first author