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 annealing vs. QAOA: 127 qubit higher-order ising problems on NISQ computers
Quantum annealing (QA) and Quantum Alternating Operator Ansatz (QAOA) are both
heuristic quantum algorithms intended for sampling optimal solutions of combinatorial …
heuristic quantum algorithms intended for sampling optimal solutions of combinatorial …
Quantum optimization using a 127-qubit gate-model IBM quantum computer can outperform quantum annealers for nontrivial binary optimization problems
We introduce a comprehensive quantum solver for binary combinatorial optimization
problems on gate-model quantum computers that outperforms any published alternative and …
problems on gate-model quantum computers that outperforms any published alternative and …
Equilibrium dynamics of infinite-range quantum spin glasses in a field
We determine the low-energy spectrum and Parisi replica-symmetry-breaking function for
the spin-glass phase of the quantum Ising model with infinite-range random exchange …
the spin-glass phase of the quantum Ising model with infinite-range random exchange …
Synthetic aperture radar image segmentation with quantum annealing
In image processing, image segmentation is the process of partitioning a digital image into
multiple image segments. Among state‐of‐the‐art methods, Markov random fields can be …
multiple image segments. Among state‐of‐the‐art methods, Markov random fields can be …
Check for updates Quantum Annealing vs. QAOA: 127 Qubit Higher-Order Ising Problems on NISQ Computers
E Pelofske, A Bärtschi… - … Conference, ISC High …, 2023 - books.google.com
Quantum annealing (QA) and Quantum Alternating Operator Ansatz (QAOA) are both
heuristic quantum algorithms intended for sampling optimal solutions of combinatorial …
heuristic quantum algorithms intended for sampling optimal solutions of combinatorial …