Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published June 15, 2021 | Submitted + Published
Book Section - Chapter Open

(Sub)Exponential advantage of adiabatic Quantum computation with no sign problem

Abstract

We demonstrate the possibility of (sub)exponential quantum speedup via a quantum algorithm that follows an adiabatic path of a gapped Hamiltonian with no sign problem. The Hamiltonian that exhibits this speed-up comes from the adjacency matrix of an undirected graph whose vertices are labeled by n-bit strings, and we can view the adiabatic evolution as an efficient O(poly(n))-time quantum algorithm for finding a specific "EXIT" vertex in the graph given the "ENTRANCE" vertex. On the other hand we show that if the graph is given via an adjacency-list oracle, there is no classical algorithm that finds the "EXIT" with probability greater than exp(−n^δ) using at most exp(n^δ) queries for δ= 1/5 − o(1). Our construction of the graph is somewhat similar to the "welded-trees" construction of Childs et al., but uses additional ideas of Hastings for achieving a spectral gap and a short adiabatic path.

Additional Information

© 2021 Copyright held by the owner/author(s). Attribution 4.0 International (CC BY 4.0) Part of this work was done while visiting the Simons Institute for the Theory of Computing; we gratefully acknowledge its hospitality. A.G. acknowledges funding provided by Samsung Electronics Co., Ltd., for the project "The Computational Power of Sampling on Quantum Computers", and additional support by the Institute for Quantum Information and Matter, an NSF Physics Frontiers Center (NSF Grant PHY-1733907). U.V. was supported by the Vannevar Bush faculty fellowship N00014-17-1-3025, and US DOE National Quantum Initiative Science Research Centers, Quantum Systems Accelerator (QSA).

Attached Files

Published - 3406325.3451060.pdf

Submitted - 2011.09495.pdf

Files

2011.09495.pdf
Files (1.6 MB)
Name Size Download all
md5:491354b7c4c2cb178032ee3fc8c92449
752.0 kB Preview Download
md5:af99c41b19a08c1e0690f5425528a97a
848.2 kB Preview Download

Additional details

Created:
August 20, 2023
Modified:
October 24, 2023