Scalable Quantum Optimal Control
N. Anders Petersson | 20-ERD-028
To address one of the fundamental challenges in quantum computing, we will develop a massively parallel solver that will finally enable control over the quantum states of a device. Developing this technology will accelerate the realization of practical high-performance quantum computing technologies and will help position the United States as a world leader in the emerging fields of quantum sensing, control, and scientific quantum computing.
Publications, Presentations, and Patents
Günther, Stefanie, N. Anders Petersson, and Jonathan L. Dubois. 2021. “Quantum Optimal Control for Pure-State Preparation Using One Initial State,” AVS Quantum Science (accepted on Sept. 9, 2021), LLNL-JRNL-823510.
Wu, Xian, Spencer Tomarken, N. Anders Petersson, Luis A. Martinez, Yaniv J. Rosen, and Jonathan L. Dubois. 2020. “High-Fidelity Software-Defined Quantum Logic on a Superconducting Qudit,” Phys. Rev. Lett. 125, 170502. LLNL-JRNL-810657.
Petersson, N. Anders, S. Günther, and Jonathan L. Dubois. 2021. “Numerical Optimal Control of Open Quantum Systems.” American Physical Society March-meeting, LLNL-PRES-820605.
Garcia, Fortino M., N. Anders Petersson, and Jonathan L. Dubois. 2020. “JuQBox: A Quantum Optimal Control Toolbox in Julia.” First International Workshop on Quantum Computing Software, Supercomputing 2020, LLNL-PRES-816493.
Petersson, N. Anders, S. Günther, Xian Wu, Fortino Garcia, and Jonathan L. Dubois. 2020. “Constructing Parsimonious Control Functions Using B-splines with Carrier Waves.” American Physical Society--March meeting, LLNL-POST-805736.