Staff information

PNNL Publications

2024

• Berry D.W., Y. Su, C. Gyurik, R. King, J. Basso, A. Del Toro Barba, and A. Rajput, et al. 2024. "Analyzing Prospects for Quantum Advantage in Topological Data Analysis." PRX Quantum 5, no. 1:Art. No. 010319. PNNL-SA-198939. doi:10.1103/PRXQuantum.5.010319

2023

• Stein S.A., N.O. Wiebe, Y. Ding, J.A. Ang, and A. Li. 2023. "Q-BEEP: Quantum Bayesian Error Mitigation Employing Poisson Modeling over the Hamming Spectrum." In Proceedings of the 50th Annual International Symposium on Computer Architecture (ISCA 2023), June 17-21, 2023, Orlando, FL, 1-13; Art. No. 8. New York, New York:Association for Computing Machinery. PNNL-SA-175133. doi:10.1145/3579371.3589043
• Zheng M., B. Peng, N.O. Wiebe, A. Li, X. Yang, and K. Kowalski. 2023. "Quantum algorithms for generator coordinate methods." Physical Review Research 5, no. 2:Art. No. 023200. PNNL-SA-180637. doi:10.1103/PhysRevResearch.5.023200

2022

• Flynn B., A.A. Gentile, N.O. Wiebe, R. Santagati, and A. Laing. 2022. "Quantum Model Learning Agent: Characterization of Quantum Systems Through Machine Learning." New Journal of Physics 24, no. 5:Art. No. 053034. PNNL-SA-179121. doi:10.1088/1367-2630/ac68ff
• Rajput A., A. Roggero, and N.O. Wiebe. 2022. "Hybridized Methods for Quantum Simulation in the Interactive Picture." Quantum 6. PNNL-SA-179363. doi:10.22331/q-2022-08-17-780
• Roggero A., J. Filipek, S. Chang, and N.O. Wiebe. 2022. "Quantum Machine Learning with SQUID." Quantum 6. PNNL-SA-179120. doi:10.22331/Q-2022-05-30-727
• Stavenger T.J., E. Crane, K.C. Smith, C.T. Kang, S.M. Girvin, and N.O. Wiebe. 2022. "C2QA - Bosonic Qiskit." In IEEE High Performance Extreme Computing Conference (HPEC 2022), September 19-23, 2022, Waltham, MA, 1-8. Piscataway, New Jersey:IEEE. PNNL-SA-174542. doi:10.1109/HPEC55821.2022.9926318
• Stein S.A., N.O. Wiebe, J.A. Ang, and A. Li. 2022. "Benchmarking Quantum Processor Performance through Quantum Distance Metrics Over An Algorithm Suite." In IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW 2022 ), May 30-June 3, 2022, Lyon, France, 618-624. Piscataway, New Jersey:IEEE. PNNL-SA-172019. doi:10.1109/IPDPSW55747.2022.00106
• Stein S.A., N.O. Wiebe, Y. Ding, B. Peng, K. Kowalski, N.A. Baker, and J.A. Ang, et al. 2022. "EQC: Ensembled Quantum Computing for Variational Quantum Algorithms." In Proceedings of the 49th Annual International Symposium on Computer Architecture (ISCA 2022), June 18-22, 2022, New York, NY, 59-71. New York, New York:Association for Computing Machinery. PNNL-SA-165576. doi:10.1145/3470496.3527434
• Stetina T.F., A. Ciavarella, X. Li, and N.O. Wiebe. 2022. "Simulating Effective QED on Quantum Computers." Quantum 6. PNNL-SA-165105. doi:10.22331/q-2022-01-18-622

2021

• Bauman N.P., H. Liu, E.J. Bylaska, S. Krishnamoorthy, G. Low, C.E. Granade, and N.O. Wiebe, et al. 2021. "Toward quantum computing for high-energy excited states in molecular systems: quantum phase estimations of core-level states." Journal of Chemical Theory and Computation 17, no. 1:201-210. PNNL-SA-154437. doi:10.1021/acs.jctc.0c00909
• Childs A.M., Y. Su, M. Tran, N.O. Wiebe, and S. Zhu. 2021. "Theory of Trotter Error with Commutator Scaling." Physical Review X 11, no. 1:Article No.011020. PNNL-SA-150114. doi:10.1103/PhysRevX.11.011020
• Lee J., D.W. Berry, C. Gidney, W.J. Huggins, J.R. McLean, N.O. Wiebe, and R. Babbush. 2021. "Even more efficient quantum computations of chemistry through tensor hypercontraction." PRX Quantum 2, no. 3:Art. No. 030305. PNNL-SA-157861. doi:10.1103/PRXQuantum.2.030305
• Ortiz Marrero C.M., N.O. Wiebe, and M. Kieferova. 2021. "Entanglement-Induced Barren Plateaus." PRX Quantum 2, no. 4:Art. No. 040316. PNNL-SA-157287. doi:10.1103/PRXQuantum.2.040316
• Tong Y., D. An, L. Lin, and N.O. Wiebe. 2021. "Fast inversion, preconditioned quantum linear system solvers, fast Green's-function computation, and fast evaluation of matrix functions." Physical Review A 104, no. 3:Article No.032422. PNNL-SA-155909. doi:10.1103/PhysRevA.104.032422

2020

• Darulova J., S.J. Pauka, N.O. Wiebe, K.W. Chan, G.C. Gardner, M.J. Manfra, and M.C. Cassidy, et al. 2020. "Autonomous Tuning and Charge-State Detection of Gate-Defined Quantum Dots." Physical Review Applied 13, no. 5:Article No. 054005. PNNL-SA-158016. doi:10.1103/PhysRevApplied.13.054005

2019

• Bauman N.P., E.J. Bylaska, S. Krishnamoorthy, G. Low, N.O. Wiebe, C.E. Granade, and M. Roetteler, et al. 2019. "Downfolding of many-body Hamiltonians using active-space models: extension of the sub-system embedding sub-algebras approach to unitary coupled cluster formalisms." Journal of Chemical Physics 151, no. 1:Article Number 014107. PNNL-SA-141041. doi:10.1063/1.5094643