Minisymposium organizer, SIAM CSE

Session 1

9:45-10:00 Calibrating Quantum Hardware with Online Optimal Control abstract
Jonathan L. Dubois, Lawrence Livermore National Laboratory, U.S.
10:05-10:20 Bilinear Dynamic Mode Decomposition for Quantum Control abstract
Andy Goldschmidt and Eurika Kaiser, University of Washington, U.S.; Jonathan L. Dubois, Lawrence Livermore National Laboratory, U.S.; Steve Brunton, University of Washington, U.S.; J. Nathan Kutz, University of Washington, Seattle, U.S.
10:25-10:40 Designing High-Fidelity Controls on Real Quantum Systems using System Identification and Reinforcement Learning abstract
Michael J. Biercuk, University of Sydney, Australia; Harrison Ball, Q-CTRL, Australia; Yuval Baum, California Institute of Technology, U.S.; Andre Carvalho, Griffith University, Brisbane, Australia; Leonardo de Castro, Sean Howell, Michael Hush, and Per Liebermann, Q-CTRL, Australia; Pranav Mundada, Princeton University, U.S.; Felix Thomsen, Q-CTRL, Australia
10:45-11:00 Quantum System Compression: A Hamiltonian Guided Walk through Hilbert Space abstract
Robert L. Kosut, SC Solutions, U.S.; Herschel Rabitz and Tak-San Ho, Princeton University, U.S.
11:05-11:20 Learning the States of Quantum Dot Systems: A Ray-Based Framework abstract
Justyna Zwolak, National Institute of Standards and Technology, U.S.

Session 2

2:15-2:30 A General Theory of Randomized Benchmarking abstract
Jens Eisert, Freie Universität Berlin, Germany; Jonas Helsen, University of Amsterdam, Netherlands; Ingo Roth, Freie Universität Berlin, Germany; Emilio Onorati, University College London, United Kingdom; Albert H. Werner, University of Copenhagen, Denmark
2:35-2:50 Operational, Gauge-Free Quantum Tomography abstract
Olivia Di Matteo, TRIUMF, Canada; John Gamble and Chris Granade, Microsoft Research, U.S.; Kenneth Rudinger, Sandia National Laboratories, U.S.; Nathan O. Wiebe, University of Washington, U.S.
2:55-3:10 Linear Preservers on Infinitely Divisible Matrices through Separability abstract
Indu L and Jill K Mathew, Mar Ivanios College, Trivandrum, Kerala, India
3:15-3:30 Machine Learning for Quantum States abstract
Giuseppe Carleo, EPFL, Switzerland
3:35-3:50 Learning Models of Quantum Systems from Experiments abstract
Antonio Gentile and Brian Flynn, University of Bristol, United Kingdom; Sebastian Knauer, University of Vienna, Austria; Nathan O. Wiebe, University of Washington, U.S.; Stefano Paesani, University of Bristol, United Kingdom; Chris Granade, Microsoft Research, U.S.; John Rarity, Raffaele Santagati, and Anthony Laing, University of Bristol, United Kingdom
Andy J. Goldschmidt
Andy J. Goldschmidt
Ph.D. student in Physics