SQuInT 2022 Program

SESSION 7: NISQ toolbox (Islands Ballroom)

Chair: (Joshua Combes (CU Boulder))
10:45 am - 11:30 amVictor Albert , NIST (invited)
Modern quantum tools for bosonic systems
Abstract. I overview ongoing efforts to extend state-of-the-art discrete-variable (DV) tomographic, error-correction, and cryptographic protocols to bosonic systems, including: (1) a theory of appropriately defined CV state designs, and their applications to design-based CV shadow tomography; (2) a cryptographic protocol utilizing squeezed states whose proof of security is based on a CV extension of DV monogamy-of-entanglement games; (3) sample efficiency of homodyne and photon-number-resolving tomography obtained via recasting said protocols in terms of shadow tomography; and (4) a unified decoding framework for concatenated DV and CV error-correcting codes.
11:30am-12:00pmThomas O'Brien, Google
Error mitigation of correlated electronic structure simulations on a quantum device
Abstract. One of the main markers of progress in the development of useful quantum computing devices is the simulation of ever more challenging physical systems. As the complexity of the physical system grows the importance of robust and scalable error mitigation strategies increases as well --- especially for near term quantum devices. Herein we push towards the full complexity demanded for real-world electronic structure simulations on quantum hardware, by simulating ground states of systems projected into a pairing subspace known as seniority zero. Studying physical simulation within the seniority zero approximation affords a computational stepping stone to a fully correlated model to validate the scalablity of recent error mitigation strategies. We examine the performance of combined variational relaxation, accounting for coherent quantum device errors, and error mitigation based on doubling quantum resources in time (echo verification). We prepare ground states of correlated electronic systems on 10-qubit systems to a typical relative accuracy of 0.45%, and achieve an up to 300-fold reduction of error over simple post-selection. Our results frame the potential of near-term quantum processors to provide computational advantages for correlated electronic structure problems.

SQuInT Chief Organizer
Akimasa Miyake, Associate Professor
amiyake@unm.edu

SQuInT Co-Organizer
Hartmut Haeffner, Associate Professor, UC Berkeley
hhaeffner@berkeley.edu

SQuInT Administrator
Dwight Zier
d29zier@unm.edu
505 277-1850

SQuInT Program Committee
Alberto Alonso, Postdoc, UC Berkeley
Philip Blocher, Postdoc, UNM
Neha Yadav, Postdoc, UC Berkeley
Cunlu Zhou, Postdoc, UNM

SQuInT Founder
Ivan Deutsch, Regents' Professor, CQuIC Director
ideutsch@unm.edu

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