Analog nature of quantum adiabatic unstructured search

Abstract

The quantum adiabatic unstructured search algorithm is one of only a handful of quantum adiabatic optimization algorithms to exhibit provable speedups over their classical counterparts. With no fault tolerance theorems to guarantee the resilience of such algorithms against errors, understanding the impact of imperfections on their performance is of both scientific and practical significance. We study the robustness of the algorithm against various types of imperfections: limited control over the interpolating schedule, Hamiltonian misspecification, and interactions with a thermal environment. We find that the unstructured search algorithm’s quadratic speedup is generally not robust to the presence of any one of the above non-idealities, and in some cases we find that it imposes unrealistic conditions on how the strength of these noise sources must scale to maintain the quadratic speedup.

Document Details

Document Type
Pub Defense Publication
Publication Date
Nov 01, 2019
Source ID
10.1088/1367-2630/ab51f9

Entities

People

  • Itay Hen
  • Lev Barash
  • Mikhail Slutskii
  • Tameem Albash

Organizations

  • Intelligence Advanced Research Projects Activity

Tags

Readers

  • Distributed Systems and Data Platform Development
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Theoretical Analysis.

Technology Areas

  • Quantum Computing