Reinforcement quantum annealing: A hybrid quantum learning automata

R Ayanzadeh, M Halem, T Finin - Scientific reports, 2020 - nature.com
We introduce the notion of reinforcement quantum annealing (RQA) scheme in which an
intelligent agent searches in the space of Hamiltonians and interacts with a quantum …

Accuracy-enhanced coherent Ising machine using the quantum adiabatic theorem

L Li, H Liu, N Huang, Z Wang - Optics Express, 2021 - opg.optica.org
The coherent Ising machine (CIM) implemented by degenerate optical parametric oscillator
(DOPO) networks is a novel optical platform to accelerate computation of hard combinatorial …

Advanced unembedding techniques for quantum annealers

E Pelofske, G Hahn, H Djidjev - 2020 International Conference …, 2020 - ieeexplore.ieee.org
The D-Wave quantum annealers make it possible to obtain high quality solutions of NP-hard
problems by map** a problem in a QUBO (quadratic unconstrained binary optimization) or …

[LIVRE][B] Leveraging Arti cial Intelligence to Advance Problem-Solving with Quantum Annealers

R Ayanzadeh - 2020 - search.proquest.com
We show how to advance quantum information processing, specifically problem-solving with
quantum annealers, in the realm of artificial intelligence. We introduce SAT++, as a novel …

Quantum walk in a reinforced free-energy landscape: Quantum annealing with reinforcement

A Ramezanpour - Physical Review A, 2022 - APS
Providing an optimal path to a quantum annealing algorithm is key to finding good
approximate solutions to computationally hard optimization problems. Reinforcement is one …

[PDF][PDF] Fluid temperature detection based on its sound with a deep learning approach

AF Yazdani, AB Mehr, I Showkatyan… - … Journal of Image …, 2021 - researchgate.net
The present study, the main idea of which was based on one of the questions of IPT 2018
competition, aimed to develop a high-precision relationship between the fluid temperature …

Reinforcement quantum annealing: A quantum-assisted learning automata approach

R Ayanzadeh, M Halem, T Finin - arxiv: 2001.00234 [quant-ph], 2020 - ebiquity.umbc.edu
Superseded by.: Ramin Ayanzadeh, Milton Halem, and Tim Finin, Reinforcement Quantum
Annealing: A Hybrid Quantum Learning Automata, Nature Scientific Reports, v10, n1, May …