Implementation of quantum annealing: A systematic review

LP Yulianti, K Surendro - IEEE Access, 2022 - ieeexplore.ieee.org
Quantum annealing is a quantum computing approach widely used for optimization and
probabilistic sampling problems. It is an alternative approach designed due to the limitations …

Energetic perspective on rapid quenches in quantum annealing

A Callison, M Festenstein, J Chen, L Nita, V Kendon… - PRX Quantum, 2021 - APS
There are well-developed theoretical tools to analyze how quantum dynamics can solve
computational problems by varying Hamiltonian parameters slowly, near the adiabatic limit …

Domain wall encoding of discrete variables for quantum annealing and QAOA

N Chancellor - Quantum Science and Technology, 2019 - iopscience.iop.org
In this paper I propose a new method of encoding discrete variables into Ising model qubits
for quantum optimisation. The new method is based on the physics of domain walls in one …

Quark: A framework for quantum computing application benchmarking

JR Finžgar, P Ross, L Hölscher… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
Quantum computing (QC) is anticipated to provide a speedup over classical approaches for
specific problems in optimization, simulation, and machine learning. With the advances in …

Performance of domain-wall encoding for quantum annealing

J Chen, T Stollenwerk… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this article, we experimentally test the performance of the recently proposed domain-wall
encoding of discrete variables Chancellor, 2019, on Ising model flux qubit quantum …

Fundamental limits in Bayesian thermometry and attainability via adaptive strategies

M Mehboudi, MR Jørgensen, S Seah, JB Brask… - Physical Review Letters, 2022 - APS
We investigate the limits of thermometry using quantum probes at thermal equilibrium within
the Bayesian approach. We consider the possibility of engineering interactions between the …

Understanding domain-wall encoding theoretically and experimentally

J Berwald, N Chancellor… - … Transactions of the …, 2023 - royalsocietypublishing.org
We analyse the method of encoding pairwise interactions of higher-than-binary discrete
variables (these models are sometimes referred to as discrete quadratic models) into binary …

[HTML][HTML] Solving SAT (and MaxSAT) with a quantum annealer: Foundations, encodings, and preliminary results

Z Bian, F Chudak, W Macready, A Roy… - Information and …, 2020 - Elsevier
Quantum annealers (QAs) are specialized quantum computers that minimize objective
functions over discrete variables by physically exploiting quantum effects. Current QA …

Quadratization in discrete optimization and quantum mechanics

N Dattani - arxiv preprint arxiv:1901.04405, 2019 - arxiv.org
A book about turning high-degree optimization problems into quadratic optimization
problems that maintain the same global minimum (ground state). This book explores …

Improving quantum annealing of the ferromagnetic -spin model through pausing

G Passarelli, V Cataudella, P Lucignano - Physical Review B, 2019 - APS
The probability of success of quantum annealing can be improved significantly by pausing
the annealer during its dynamics, exploiting thermal relaxation in a controlled fashion. In this …