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 …
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 …
Quark: A framework for quantum computing application benchmarking
Quantum computing (QC) is anticipated to provide a speedup over classical approaches for
specific problems in optimization, simulation, and machine learning. With the advances in …
specific problems in optimization, simulation, and machine learning. With the advances in …
Analog Iterative Machine (AIM): using light to solve quadratic optimization problems with mixed variables
KP Kalinin, G Mourgias-Alexandris, H Ballani… - ar**
these onto a binary representation, sparked mostly by the use of quantum annealing …
these onto a binary representation, sparked mostly by the use of quantum annealing …