Results 71 to 80 of about 2,321 (167)

Improving Quantum Approximate Optimization by Noise-Directed Adaptive Remapping [PDF]

Quantum
We present Noise-Directed Adaptive Remapping (NDAR), a heuristic algorithm for approximately solving binary optimization problems by leveraging certain types of noise.
Filip B. Maciejewski, Jacob Biamonte, Stuart Hadfield, Davide Venturelli   +3 more
doaj   +1 more source

Quantum circuit compilation by genetic algorithm for quantum approximate optimization algorithm applied to maxcut problem: quantum circuit compilation by genetic algorithm for qaoa applied to maxcut problem

, 2022
This research has been supported by the Spanish Government under research projects TIN2016-79190-R and PID2019-106263RB-I00/AEI/10.13039/501100011033, and by the Principality of Asturias under grant FC-GRUPIN-IDI/2018/000176. A. Oddi and R. Rasconi were supported by the ESA Contract No.
Arufe Rivas, Lis, González Fernández, Miguel Ángel, Oddi, A., Rasconi, R., Varela Arias, José Ramiro   +4 more
openaire   +1 more source

Quantum Computing in Industrial Internet of Things (IIoT) Forensics: Framework, Implications, Opportunities, and Future Directions

WIREs Forensic Science, Volume 7, Issue 3, September 2025.
Generic Quantum‐Safe IIoT Forensics Framework (QS‐IIoT‐F) ABSTRACT The continuous evolution of quantum computing has shown novel and transformative possibilities and critical implications for the Industrial Internet of Things (IIoT) forensic processes.
Victor R. Kebande
wiley   +1 more source

Limitations of quantum approximate optimization in solving generic higher-order constraint-satisfaction problems

Physical Review Research
The ability of the quantum approximate optimization algorithm (QAOA) to deliver a quantum advantage on combinatorial optimization problems is still unclear. Recently, a scaling advantage over a classical solver was postulated to exist for random 8-SAT at
Thorge Müller, Ajainderpal Singh, Frank K. Wilhelm, Tim Bode   +3 more
doaj   +1 more source

On the Use of the Quantum Alternating Operator Ansatz in Quantum-Informed Recursive Optimization: A Case Study on the Minimum Vertex Cover

AppliedMath
In recent years, several quantum algorithms have been proposed for addressing combinatorial optimization problems. Among them, the Quantum Approximate Optimization Algorithm (QAOA) has become a widely used approach.
Pablo Ramos-Ruiz, Antonio Miguel Fuentes-Jiménez, José E. Ramos-Ruiz, Inmaculada Jiménez-Manchado   +3 more
doaj   +1 more source

Quantum Computing: Foundations, Architecture and Applications

Engineering Reports, Volume 7, Issue 8, August 2025.
This paper presents a study on quantum computing's theoretical foundations and applications, illustrated by a quantum circuit diagram featuring gates and measurements that demonstrate qubit manipulation and entanglement. ABSTRACT Quantum computing exploits the principles of quantum mechanics to address computational problems that are intractable to ...
Christopher Columbus Chinnappan, Palani Thanaraj Krishnan, Elakiya Elamaran, Rajakumar Arul, T. Sunil Kumar   +4 more
wiley   +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  

Qoolchain: A QUBO Preprocessing Toolchain for Enhancing Quantum Optimization

Advanced Quantum Technologies, Volume 8, Issue 5, May 2025.
This study introduces Qoolchain, a QUBO preprocessing toolchain developed in Cython to reduce problem size and enhance optimization solvers' performance, particularly for Grover Adaptive Search (GAS). Qoolchain includes persistency identification, decomposition, and probing to estimate function bounds, all with polynomial complexity and applies Grover ...
Giacomo Orlandi, Deborah Volpe, Mariagrazia Graziano, Giovanna Turvani   +3 more
wiley   +1 more source

Adam assisted Fully informed Particle Swarm Optimization ( Adam-FIPSO ) based Parameter Prediction for the Quantum Approximate Optimization Algorithm (QAOA)

The Quantum Approximate Optimization Algorithm (QAOA) is a prominent variational algorithm used for solving combinatorial optimization problems such as the Max-Cut problem. A key challenge in QAOA lies in efficiently identifying suitable parameters (gamma, beta) that lead to high-quality solutions.
Bhat, Shashank Sanjay, Wang, Peiyong, Parampalli, Udaya   +2 more
openaire   +2 more sources

In‐Network Quantum Computing for Future 6G Networks

Advanced Quantum Technologies, Volume 8, Issue 2, February 2025.
Anticipated advancements in 6G technology are poised to offer widespread global coverage, leveraging a vast spectrum range encompassing sub‐6 GHz, mmWave, THz, and optical frequency bands. This expansion aims to significantly enhance data rates and connection density.
Helen Urgelles, Shivam Maheshwari, Swaraj Shekhar Nande, Riccardo Bassoli, Frank H.P. Fitzek, Jose F. Monserrat   +5 more
wiley   +1 more source