Abstracts

Reproducing the performance enhancement of adiabatic reverse annealing

Presenting Author: Matthew Kowalsky, University of Southern California
Contributing Author(s): Tameem Albash

We propose a conventional (forward) quantum annealing protocol with a diagonal catalyst of programmable strength λ. By adjusting λ we demonstrate an exponential improvement in the efficiency of quantum annealing for solving the p-spin model, reproducing the performance improvements of adiabatic reverse annealing(1). Our protocol allows us to identify the enhancement mechanism of such approaches: balancing Hamiltonian terms in a way that mitigates discontinuous shifts in the global minimum of the semiclassical potential. This observation allows us to identify and solve other problems amenable to such protocols. 1.Ohkuwa, M., Nishimori, H. & Lidar, D. A. Reverse annealing for the fully connected $p$-spin model. Phys. Rev. A 98, 022314 (2018).

(Session 5 : Saturday from 5:00pm - 7:00pm)

 

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

SQuInT Co-Organizer
Brian Smith, Associate Professor UO
bjsmith@uoregon.edu

SQuInT Program Committee
Postdoctoral Fellows:
Markus Allgaier (UO OMQ)
Sayonee Ray (UNM CQuIC)
Pablo Poggi (UNM CQuIC)
Valerian Thiel (UO OMQ)

SQuInT Event Co-Organizers (Oregon)
Jorjie Arden
jarden@uoregon.edu
Holly Lynn
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SQuInT Event Administrator (Oregon)
Brandy Todd

SQuInT Administrator (CQuIC)
Gloria Cordova
gjcordo1@unm.edu
505 277-1850

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

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