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

11/18/2020
by   András Gilyén, et al.
0

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. This strengthens the superpolynomial separation recently proved by Hastings. The Hamiltonian that exhibits this speed-up comes from the adjacency matrix of an undirected graph, 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.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
11/22/2022

Quantum algorithms and the power of forgetting

The so-called welded tree problem provides an example of a black-box pro...
research
04/18/2020

Effective gaps are not effective: quasipolynomial classical simulation of obstructed stoquastic Hamiltonians

All known examples confirming the possibility of an exponential separati...
research
10/10/2018

Quantum adiabatic optimization without heuristics

Quantum adiabatic optimization (QAO) is performed using a time-dependent...
research
03/06/2023

Quantum Algorithm for Path-Edge Sampling

We present a quantum algorithm for sampling an edge on a path between tw...
research
10/05/2020

A Query-Efficient Quantum Algorithm for Maximum Matching on General Graphs

We design quantum algorithms for maximum matching. Working in the query ...
research
08/06/2021

On the Exponential Sample Complexity of the Quantum State Sign Estimation Problem

We demonstrate that the ability to estimate the relative sign of an arbi...
research
06/08/2023

Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian

We consider the prediction of the Hamiltonian matrix, which finds use in...

Please sign up or login with your details

Forgot password? Click here to reset