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 …
Machine learning in the quantum realm: The state-of-the-art, challenges, and future vision
Abstract Machine learning has become a ubiquitous and effective technique for data
processing and classification. Furthermore, due to the superiority and progress of quantum …
processing and classification. Furthermore, due to the superiority and progress of quantum …
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 …
From the quantum approximate optimization algorithm to a quantum alternating operator ansatz
The next few years will be exciting as prototype universal quantum processors emerge,
enabling the implementation of a wider variety of algorithms. Of particular interest are …
enabling the implementation of a wider variety of algorithms. Of particular interest are …
A fully programmable 100-spin coherent Ising machine with all-to-all connections
Unconventional, special-purpose machines may aid in accelerating the solution of some of
the hardest problems in computing, such as large-scale combinatorial optimizations, by …
the hardest problems in computing, such as large-scale combinatorial optimizations, by …
Traffic flow optimization using a quantum annealer
Quantum annealing algorithms belong to the class of metaheuristic tools, applicable for
solving binary optimization problems. Hardware implementations of quantum annealing …
solving binary optimization problems. Hardware implementations of quantum annealing …
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 …
Experimental investigation of performance differences between coherent Ising machines and a quantum annealer
Physical annealing systems provide heuristic approaches to solving combinatorial
optimization problems. Here, we benchmark two types of annealing machines—a quantum …
optimization problems. Here, we benchmark two types of annealing machines—a quantum …
Quantum computing based hybrid solution strategies for large-scale discrete-continuous optimization problems
Quantum computing (QC) has gained popularity due to its unique capabilities that are quite
different from that of classical computers in terms of speed and methods of operations. This …
different from that of classical computers in terms of speed and methods of operations. This …
A hybrid solution method for the capacitated vehicle routing problem using a quantum annealer
The Capacitated Vehicle Routing Problem (CVRP) is an NP-optimization problem (NPO)
that has been of great interest for decades for both, science and industry. The CVRP is a …
that has been of great interest for decades for both, science and industry. The CVRP is a …