scispace - formally typeset
Open AccessJournal ArticleDOI

Experimental test of search range in quantum annealing

Nicholas Chancellor, +1 more
- 15 Jul 2021 - 
- Vol. 104, Iss: 1, pp 012604
Reads0
Chats0
TLDR
In this article, the authors construct an Ising Hamiltonian with an engineered energy landscape such that it has a local energy minimum which is near the true global minimum solution and further away from a false minimum.
Abstract
We construct an Ising Hamiltonian with an engineered energy landscape such that it has a local energy minimum which is near the true global minimum solution and further away from a false minimum. Using a technique established in previous experiments, we design our experiment such that (at least on timescales relevant to our study) the false minimum is reached preferentially in forward annealing due to high levels of quantum fluctuations. This allows us to demonstrate the key principle of reverse annealing, that the solution space can be searched locally, preferentially finding nearby solutions, even in the presence of a false minimum. The techniques used here are distinct from previously used experimental techniques and allow us to probe the fundamental search range of the device in an alternative way. We perform these experiments on two flux qubit quantum annealers, one with higher noise levels than the other. We find evidence that the lower noise device is more likely to find the more distant energy minimum (the false minimum in this case), suggesting that reducing noise fundamentally increases the range over which flux qubit quantum annealers are able to search. Our work explains why reducing the noise leads to improved performance on these quantum annealers. This supports the idea that these devices may be able to search over broad regions of the solution space quickly, one of the core reasons why quantum annealers are viewed as a potential avenue for a quantum computational advantage.

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

Hybrid quantum-classical algorithms in the noisy intermediate-scale quantum era and beyond

- 08 Jul 2022 - 
TL;DR: Hybrid quantum-classical algorithms are central to much of the current research in quantum computing, particularly when considering the noisy intermediate-scale quantum (NISQ) era, with a number of experimental demonstrations having already been performed as mentioned in this paper .
Journal ArticleDOI

Fluctuation-guided search in quantum annealing

TL;DR: In this article, the uneven sampling of ground-state manifolds due to quantum fluctuations is exploited to trade optimality of the solution for flexibility, where some variables can be changed at little or no cost.
Posted Content

Performance benefits of increased qubit connectivity in quantum annealing 3-dimensional spin glasses

TL;DR: In this article, the authors demonstrate the benefit of this progress in the problem of minimizing the energy of three-dimensional spin glasses by comparing the previous generation D-Wave 2000Q system to the new Advantage system, and observe improved scaling of solution time and improved consistency over multiple graph embeddings.
Journal ArticleDOI

Standard quantum annealing outperforms adiabatic reverse annealing with decoherence

- 18 Mar 2022 - 
TL;DR: In this paper , the authors show that the performance of ARA is far less sensitive to the choice of the initial state than its unitary counterpart, and that open system ARA by and large loses its time to solution advantage compared to standard quantum annealing.
Journal ArticleDOI

Understanding domain-wall encoding theoretically and experimentally

TL;DR: In this article , the authors show that for problems of practical interest for quantum computing and assuming only quadratic interactions are available between the binary variables, it is not possible to have a more efficient general encoding in terms of number of binary variables per discrete variable.
References
More filters
Journal ArticleDOI

Matplotlib: A 2D Graphics Environment

TL;DR: Matplotlib is a 2D graphics package used for Python for application development, interactive scripting, and publication-quality image generation across user interfaces and operating systems.
Journal ArticleDOI

SciPy 1.0: fundamental algorithms for scientific computing in Python.

TL;DR: SciPy as discussed by the authors is an open-source scientific computing library for the Python programming language, which has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories and millions of downloads per year.