Models in quantum computing: a systematic review
Quantum computing is computing beyond classical computing based on quantum
phenomena such as superposition and entanglement. While quantum computing is still …
phenomena such as superposition and entanglement. While quantum computing is still …
Physics-inspired optimization for quadratic unconstrained problems using a digital annealer
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 …
[PDF][PDF] A history of metaheuristics
A History of Metaheuristics arxiv:1704.00853v1 [cs.AI] 4 Apr 2017 Page 1 A History of
Metaheuristics ∗ Kenneth Sörensen Marc Sevaux Fred Glover Abstract This chapter …
Metaheuristics ∗ Kenneth Sörensen Marc Sevaux Fred Glover Abstract This chapter …
Efficient partition of integer optimization problems with one-hot encoding
Quantum annealing is a heuristic algorithm for solving combinatorial optimization problems,
and hardware for implementing this algorithm has been developed by D-Wave Systems Inc …
and hardware for implementing this algorithm has been developed by D-Wave Systems Inc …
A QUBO model for the traveling salesman problem with time windows
This work focuses on expressing the TSP with Time Windows (TSPTW for short) as a
quadratic unconstrained binary optimization (QUBO) problem. The time windows impose …
quadratic unconstrained binary optimization (QUBO) problem. The time windows impose …
Improving solutions by embedding larger subproblems in a D-Wave quantum annealer
Quantum annealing is a heuristic algorithm that solves combinatorial optimization problems,
and D-Wave Systems Inc. has developed hardware implementation of this algorithm …
and D-Wave Systems Inc. has developed hardware implementation of this algorithm …
Practical annealing-based quantum computing
An overview of quantum computers based on the annealing paradigm and manufactured by
D-Wave is given. An introductory survey of this approach to quantum computing (QC) …
D-Wave is given. An introductory survey of this approach to quantum computing (QC) …
A hybrid approach for solving optimization problems on small quantum computers
Solving larger-sized problems is an important area of research in quantum computing.
Designing hybrid quantumclassical algorithms is a promising approach to solving this. We …
Designing hybrid quantumclassical algorithms is a promising approach to solving this. We …
A hybrid quantum-classical approach to solving scheduling problems
An effective approach to solving complex problems is to decompose them and integrate
dedicated solvers for those subproblems. We introduce a hybrid decomposition that …
dedicated solvers for those subproblems. We introduce a hybrid decomposition that …
Quadratic unconstrained binary optimization problem preprocessing: Theory and empirical analysis
The Quadratic Unconstrained Binary Optimization problem (QUBO) has become a unifying
model for representing a wide range of combinatorial optimization problems, and for linking …
model for representing a wide range of combinatorial optimization problems, and for linking …