Optimization applications as quantum performance benchmarks
Combinatorial optimization is anticipated to be one of the primary use cases for quantum
computation in the coming years. The Quantum Approximate Optimization Algorithm and …
computation in the coming years. The Quantum Approximate Optimization Algorithm and …
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 …
On the emerging potential of quantum annealing hardware for combinatorial optimization
Over the past decade, the usefulness of quantum annealing hardware for combinatorial
optimization has been the subject of much debate. Thus far, experimental benchmarking …
optimization has been the subject of much debate. Thus far, experimental benchmarking …
Hybrid quantum annealing for larger-than-QPU lattice-structured problems
J Raymond, R Stevanovic, W Bernoudy… - ACM Transactions on …, 2023 - dl.acm.org
Quantum processing units (QPUs) executing annealing algorithms have shown promise in
optimization and simulation applications. Hybrid algorithms are a natural bridge to larger …
optimization and simulation applications. Hybrid algorithms are a natural bridge to larger …
High-quality thermal Gibbs sampling with quantum annealing hardware
Quantum annealing (QA) was originally intended for accelerating the solution of
combinatorial optimization tasks that have natural encodings as Ising models. However …
combinatorial optimization tasks that have natural encodings as Ising models. However …
Hybrid quantum-classical multilevel approach for maximum cuts on graphs
A Angone, X Liu, R Shaydulin… - 2023 IEEE High …, 2023 - ieeexplore.ieee.org
Combinatorial optimization is one of the fields where near term quantum devices are being
utilized with hybrid quantum-classical algorithms to demonstrate potentially practical …
utilized with hybrid quantum-classical algorithms to demonstrate potentially practical …
Compressed quadratization of higher order binary optimization problems
Recent hardware advances in quantum and quantum-inspired annealers promise
substantial speedup for solving NP-hard combinatorial optimization problems compared to …
substantial speedup for solving NP-hard combinatorial optimization problems compared to …
Solving job-shop scheduling problems with QUBO-based specialized hardware
The emergence of specialized hardware, such as quantum computers and Digital/CMOS
annealers, and the slowing of performance growth of general-purpose hardware raises an …
annealers, and the slowing of performance growth of general-purpose hardware raises an …
An Ising framework for constrained clustering on special purpose hardware
The recent emergence of novel hardware platforms, such as quantum computers and
Digital/CMOS annealers, capable of solving combinatorial optimization problems has …
Digital/CMOS annealers, capable of solving combinatorial optimization problems has …
The potential of quantum annealing for rapid solution structure identification
The recent emergence of novel computational devices, such as quantum computers,
coherent Ising machines, and digital annealers presents new opportunities for hardware …
coherent Ising machines, and digital annealers presents new opportunities for hardware …