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Learning models of quantum systems from experiments., , , , , , , , and . CoRR, (2020)Introduction to Quantum Computing., , and . SIGCSE, page 1389. ACM, (2020)SV-sim: scalable PGAS-based state vector simulation of quantum circuits., , , , , , and . SC, page 97. ACM, (2021)Bayesian ACRONYM Tuning., , and . TQC, volume 135 of LIPIcs, page 7:1-7:19. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2019)Q# and NWChem: Tools for Scalable Quantum Chemistry on Quantum Computers., , , , , , , , , and 2 other author(s). CoRR, (2019)Bayesian inference via rejection filtering., , , and . CoRR, (2015)Robust Online Hamiltonian Learning., , , and . TQC, volume 22 of LIPIcs, page 106-125. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2013)Characterization, Verification and Control for Large Quantum Systems.. University of Waterloo, Ontario, Canada, (2015)base-search.net (ftunivwaterloo:oai:uwspace.uwaterloo.ca:10012/9217).A Resource Estimation and Verification Workflow in Q# Special session paper., , , , and . DATE, page 1050-1055. IEEE, (2021)Q#: Enabling Scalable Quantum Computing and Development with a High-level DSL., , , , , , , , , and . RWDSL@CGO, page 7:1-7:10. ACM, (2018)