Results 61 to 70 of about 429 (149)
Dynamic programming in economics on a quantum annealer
Quantitative Economics, Volume 17, Issue 1, Page 1-37, January 2026.We introduce novel algorithms for solving dynamic programming problems in economics on a quantum annealer, a specialized quantum computer used for combinatorial optimization. Quantum annealers begin in a superposition of all states and generate candidate global solutions in milliseconds, regardless of problem size.
Jesús Fernández‐Villaverde +1 more
wiley +1 more source
Improving Quantum Approximate Optimization by Noise-Directed Adaptive Remapping [PDF]
QuantumWe present Noise-Directed Adaptive Remapping (NDAR), a heuristic algorithm for approximately solving binary optimization problems by leveraging certain types of noise.
Filip B. Maciejewski +3 more
doaj +1 more source
FUTURES &FORESIGHT SCIENCE, Volume 7, Issue 3, December 2025.ABSTRACT Quantum technologies, driven by principles of quantum mechanics like superposition and entanglement, have shown transformative potential in drug discovery, medical diagnosis, precision medicine, and other therapeutic interventions. However, the research on emerging quantum technologies at early to late stages of development for healthcare ...
Oshin Sharma +4 more
wiley +1 more source
A new methodology is proposed to solve classical Boolean problems as Hamiltonians, using the quantum approximate optimization algorithm (QAOA). Our methodology successfully finds all optimized approximated solutions for Boolean problems, after converting them from Boolean oracles (in different structures) into Phase oracles, and then into the ...
Al-Bayaty, Ali, Perkowski, Marek
openaire +2 more sources
Nanophotonics, Volume 14, Issue 23, Page 3761-3793, 02 November 2025.Abstract Photonic device development (PDD) has achieved remarkable success in designing and implementing new devices for controlling light across various wavelengths, scales, and applications, including telecommunications, imaging, sensing, and quantum information processing.
Yuheng Chen +18 more
wiley +1 more source
Physical Review ResearchQuantum computers are increasing in size and quality but are still very noisy. Error mitigation extends the size of the quantum circuits that noisy devices can meaningfully execute. However, state-of-the-art error mitigation methods are hard to implement
Stefan H. Sack, Daniel J. Egger
doaj +1 more source
In this study, we predicted the structure of the heptapeptide APRLRFY, a neuropeptide sequence, on a tetrahedral lattice using a Quantum Approximate Optimization Algorithm (QAOA). QAOA is based on the adiabatic approximation and has been successfully applied to a wide range of optimization problems.
Yun, Sung Won +5 more
openaire +2 more sources
Quantum optimization with a novel Gibbs objective function and ansatz architecture search
Physical Review Research, 2020 The quantum approximate optimization algorithm (QAOA) is a standard method for combinatorial optimization with a gate-based quantum computer. The QAOA consists of a particular ansatz for the quantum circuit architecture, together with a prescription for ...
Li Li (李力) +4 more
doaj +1 more source
The BHT-QAOA is a hybrid classical-quantum algorithm that solves arbitrary classical Boolean problems as Hamiltonians in the quantum domain, using the quantum approximate optimization algorithm (QAOA) [1]. The BHT-QAOA stands for the "Boolean-Hamiltonians Transform for QAOA" [2].
Ali Al-Bayaty, Marek Perkowski
openaire +1 more source