Ising machines as hardware solvers of combinatorial optimization problems
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 …
states of the Ising model. The Ising model is of fundamental computational interest because …
Quantum annealing for industry applications: Introduction and review
Quantum annealing (QA) is a heuristic quantum optimization algorithm that can be used to
solve combinatorial optimization problems. In recent years, advances in quantum …
solve combinatorial optimization problems. In recent years, advances in quantum …
Quantum optimization of maximum independent set using Rydberg atom arrays
Realizing quantum speedup for practically relevant, computationally hard problems is a
central challenge in quantum information science. Using Rydberg atom arrays with up to …
central challenge in quantum information science. Using Rydberg atom arrays with up to …
Perspectives of quantum annealing: Methods and implementations
Quantum annealing is a computing paradigm that has the ambitious goal of efficiently
solving large-scale combinatorial optimization problems of practical importance. However …
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 …
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 …
binary optimization (QUBO) problems. It is implemented on application-specific CMOS …
What is the computational value of finite-range tunneling?
Quantum annealing (QA) has been proposed as a quantum enhanced optimization heuristic
exploiting tunneling. Here, we demonstrate how finite-range tunneling can provide …
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 …
significant developments and new approaches in quantum computing. One such approach …
Demonstration of a scaling advantage for a quantum annealer over simulated annealing
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 …
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
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 …
hardware platforms that may soon be able to tackle certain tasks that cannot be performed or …