Results 81 to 90 of about 3,959 (191)

Quantifying the Efficiency of State Preparation via Quantum Variational Eigensolvers

PRX Quantum, 2021
Recently, there has been much interest in the efficient preparation of complex quantum states using low-depth quantum circuits, such as the quantum approximate optimization algorithm (QAOA).
Gabriel Matos, Sonika Johri, Zlatko Papić   +2 more
doaj   +1 more source

The Identification of Emerging Quantum Technologies in the Healthcare Sector: A Horizon Scanning Study

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, Ross Fairbairn, Imogen Forsythe, Oleta Williams, Andrew Mkwashi   +4 more
wiley   +1 more source

Solving Boolean Satisfiability Problems With The Quantum Approximate Optimization Algorithm

PRX Quantum
One of the most prominent application areas for quantum computers is solving hard constraint satisfaction and optimization problems. However, detailed analyses of the complexity of standard quantum algorithms have suggested that outperforming classical ...
Sami Boulebnane, Ashley Montanaro
doaj   +1 more source

Quantum Algorithm Implementations for Beginners

, 2020
As quantum computers become available to the general public, the need has arisen to train a cohort of quantum programmers, many of whom have been developing classical computer programs for most of their careers.
Adedoyin, Adetokunbo, Ambrosiano, John, Anisimov, Petr, Bärtschi, Andreas, Casper, William, Chennupati, Gopinath, Coffrin, Carleton, Coles, Patrick J., Djidjev, Hristo, Eidenbenz, Stephan, Gunter, David, J., Abhijith, Karra, Satish, Lemons, Nathan, Lin, Shizeng, Lokhov, Andrey Y., Malyzhenkov, Alexander, Mascarenas, David, Mniszewski, Susan, Nadiga, Balu, O'Malley, Daniel, Oyen, Diane, Pakin, Scott, Prasad, Lakshman, Roberts, Randy, Romero, Phillip, Santhi, Nandakishore, Sinitsyn, Nikolai, Swart, Pieter J., Vuffray, Marc, Wendelberger, James G., Yoon, Boram, Zamora, Richard, Zhu, Wei   +33 more
core  

Deep-Circuit QAOA

Quantum
Despite its popularity, several empirical and theoretical studies suggest that the quantum approximate optimization algorithm (QAOA) has persistent issues in providing a substantial practical advantage. Numerical results for few qubits and shallow circuits are, at best, ambiguous, and the well-studied barren plateau phenomenon draws a rather sobering ...
Koßmann, Gereon, Binkowski, Lennart, van Luijk, Lauritz, Ziegler, Timo, Schwonnek, René   +4 more
openaire   +3 more sources

Machine‐learning‐assisted photonic device development: a multiscale approach from theory to characterization

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, Alexander Montes McNeil, Taehyuk Park, Blake A. Wilson, Vaishnavi Iyer, Michael Bezick, Jae‐Ik Choi, Rohan Ojha, Pravin Mahendran, Daksh Kumar Singh, Geetika Chitturi, Peigang Chen, Trang Do, Alexander V. Kildishev, Vladimir M. Shalaev, Michael Moebius, Wenshan Cai, Yongmin Liu, Alexandra Boltasseva   +18 more
wiley   +1 more source

Leveraging Quantum Annealing for Layout Optimization

Advanced Quantum Technologies, Volume 8, Issue 11, November 2025.
The authors address wind farm layout optimization by formulating it as a QUBO problem using the Jensen wake model. They compare quantum annealing, Gurobi, and QAOA, highlighting trade‐offs between solution quality and computational time. Results show that quantum annealing offers rapid, near‐optimal solutions, making it suitable for fast approximations
Luca Nigro, Simone Sala, Alfonso Amendola, Enrico Prati   +3 more
wiley   +1 more source

Evaluating the limits of Quantum Approximate Optimization Algorithm parameter transfer at high rounds on sparse Ising models with geometrically local cubic terms

Physical Review Research
The emergent practical applicability of the Quantum Approximate Optimization Algorithm (QAOA) for approximate combinatorial optimization is a subject of considerable interest.
Elijah Pelofske, Marek M. Rams, Andreas Bärtschi, Piotr Czarnik, Paolo Braccia, Lukasz Cincio, Stephan Eidenbenz   +6 more
doaj   +1 more source

Quantum Approximate Optimization Algorithm: Performance, Mechanism, and Implementation on Near-Term Devices

Physical Review X, 2020
The quantum approximate optimization algorithm (QAOA) is a hybrid quantum-classical variational algorithm designed to tackle combinatorial optimization problems.
Leo Zhou, Sheng-Tao Wang, Soonwon Choi, Hannes Pichler, Mikhail D. Lukin   +4 more
doaj   +1 more source

Quantum Approximation for Wireless Scheduling

Applied Sciences, 2020
This paper proposes an application algorithm based on a quantum approximate optimization algorithm (QAOA) for wireless scheduling problems. QAOA is one of the promising hybrid quantum-classical algorithms to solve combinatorial optimization problems and ...
Jaeho Choi, Seunghyeok Oh, Joongheon Kim
doaj   +1 more source