Ising machines as hardware solvers of combinatorial optimization problems

N Mohseni, PL McMahon, T Byrnes - Nature Reviews Physics, 2022 - nature.com
Ising machines are hardware solvers that aim to find the absolute or approximate ground
states of the Ising model. The Ising model is of fundamental computational interest because …

Quantum annealing for industry applications: Introduction and review

S Yarkoni, E Raponi, T Bäck… - Reports on Progress in …, 2022 - iopscience.iop.org
Quantum annealing (QA) is a heuristic quantum optimization algorithm that can be used to
solve combinatorial optimization problems. In recent years, advances in quantum …

Quantum optimization of maximum independent set using Rydberg atom arrays

S Ebadi, A Keesling, M Cain, TT Wang, H Levine… - Science, 2022 - science.org
Realizing quantum speedup for practically relevant, computationally hard problems is a
central challenge in quantum information science. Using Rydberg atom arrays with up to …

Perspectives of quantum annealing: Methods and implementations

P Hauke, HG Katzgraber, W Lechner… - Reports on Progress …, 2020 - iopscience.iop.org
Quantum annealing is a computing paradigm that has the ambitious goal of efficiently
solving large-scale combinatorial optimization problems of practical importance. However …

Quantum information processing with superconducting circuits: a review

G Wendin - Reports on Progress in Physics, 2017 - iopscience.iop.org
During the last ten years, superconducting circuits have passed from being interesting
physical devices to becoming contenders for near-future useful and scalable quantum …

Physics-inspired optimization for quadratic unconstrained problems using a digital annealer

M Aramon, G Rosenberg, E Valiante, T Miyazawa… - Frontiers in …, 2019 - frontiersin.org
The Fujitsu Digital Annealer is designed to solve fully connected quadratic unconstrained
binary optimization (QUBO) problems. It is implemented on application-specific CMOS …

What is the computational value of finite-range tunneling?

VS Denchev, S Boixo, SV Isakov, N Ding, R Babbush… - Physical Review X, 2016 - APS
Quantum annealing (QA) has been proposed as a quantum enhanced optimization heuristic
exploiting tunneling. Here, we demonstrate how finite-range tunneling can provide …

Prospects for quantum enhancement with diabatic quantum annealing

EJ Crosson, DA Lidar - Nature Reviews Physics, 2021 - nature.com
Optimization, sampling and machine learning are topics of broad interest that have inspired
significant developments and new approaches in quantum computing. One such approach …

Demonstration of a scaling advantage for a quantum annealer over simulated annealing

T Albash, DA Lidar - Physical Review X, 2018 - APS
The observation of an unequivocal quantum speedup remains an elusive objective for
quantum computing. A more modest goal is to demonstrate a scaling advantage over a class …

Co-designing a scalable quantum computer with trapped atomic ions

KR Brown, J Kim, C Monroe - npj Quantum Information, 2016 - nature.com
The first generation of quantum computers are on the horizon, fabricated from quantum
hardware platforms that may soon be able to tackle certain tasks that cannot be performed or …