Zobrazeno 1 - 10
of 324
pro vyhledávání: '"quantum optimization"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-23 (2024)
Abstract Quantum annealing emerges as a promising approach for tackling complex scheduling problems such as the resource-constrained project scheduling problem (RCPSP). This study represents the first application of quantum annealing to solve the RCP
Externí odkaz:
https://doaj.org/article/a78a011db6b5499b87f086b947e7daf6
Autor:
Bryce Fuller, Charles Hadfield, Jennifer R. Glick, Takashi Imamichi, Toshinari Itoko, J. Richard Thompson, Yang Jiao, M. Marna Kagele, W. Blom-Schieber Adriana, Rudy Raymond, Antonio Mezzacapo
Publikováno v:
IEEE Transactions on Quantum Engineering, Vol 5, Pp 1-15 (2024)
Combinatorial problems are formulated to find optimal designs within a fixed set of constraints and are commonly found across diverse engineering and scientific domains. Understanding how to best use quantum computers for combinatorial optimization r
Externí odkaz:
https://doaj.org/article/84de6beefa3540839cf9adfd65737435
Autor:
Tomasz Pecyna, Rafał Różycki
Publikováno v:
Applied Sciences, Vol 14, Iss 18, p 8099 (2024)
Quantum optimization is a significant area of quantum computing research with anticipated near-term quantum advantages. Current quantum optimization algorithms, most of which are hybrid variational-Hamiltonian-based algorithms, struggle to present qu
Externí odkaz:
https://doaj.org/article/6c517cd1c7d54459a529ed50e53c62cc
Autor:
Kyungtaek Jun
Publikováno v:
Results in Control and Optimization, Vol 14, Iss , Pp 100380- (2024)
With the advent of quantum computers, many quantum computing algorithms are being developed. Solving linear systems is one of the most fundamental problems in modern science and engineering. The Harrow Hassidim-Lloyd algorithm, a monumental quantum a
Externí odkaz:
https://doaj.org/article/f4de778d9d194a2eb4294c3a53edfc73
Publikováno v:
Frontiers in Quantum Science and Technology, Vol 3 (2024)
The quantum approximate optimization algorithm (QAOA) was originally proposed to find approximate solutions to combinatorial optimization problems on quantum computers. However, the algorithm has also attracted interest for sampling purposes since it
Externí odkaz:
https://doaj.org/article/a9e0824d491d4f2f9f95b759301ebf9a
Autor:
Huang Fei, Liao Meiqun
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Based on big data technology, this paper firstly collects and pre-processes educational resources and builds a dual teaching system based on two basic concepts of “creation” and “analysis”, combining technology and theory. Secondly, the FCM c
Externí odkaz:
https://doaj.org/article/c2f5a76e62a942f586d6c25070725092
Autor:
Zuoqiang Du, Hui Li
Publikováno v:
Applied Sciences, Vol 14, Iss 11, p 4613 (2024)
For the building emergency evacuation path planning problem, existing algorithms suffer from low convergence efficiency and the problem of getting trapped in local optima. The Bloch Spherical Quantum Genetic Algorithm (BQGA) based on the least-square
Externí odkaz:
https://doaj.org/article/f662b451ba044feb978c7ef392c33137
Autor:
Federico Dominguez, Josua Unger, Matthias Traube, Barry Mant, Christian Ertler, Wolfgang Lechner
Publikováno v:
Frontiers in Quantum Science and Technology, Vol 2 (2023)
We review encoding and hardware-independent formulations of optimization problems for quantum computing. Using this generalized approach, an extensive library of optimization problems from the literature and their various derived spin encodings are d
Externí odkaz:
https://doaj.org/article/2f80cf86627f4854ad12caba47d116ba
Publikováno v:
IEEE Transactions on Quantum Engineering, Vol 4, Pp 1-11 (2023)
The quantum approximate optimization algorithm (QAOA) adopts a hybrid quantum-classical approach to find approximate solutions to variational optimization problems. In fact, it relies on a classical subroutine to optimize the parameters of a quantum
Externí odkaz:
https://doaj.org/article/8075088d364a4eee8d193a3f352a19b5
Autor:
Serge Rainjonneau, Igor Tokarev, Sergei Iudin, Saaketh Rayaprolu, Karan Pinto, Daria Lemtiuzhnikova, Miras Koblan, Egor Barashov, Mo Kordzanganeh, Markus Pflitsch, Alexey Melnikov
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 7062-7075 (2023)
Earth imaging satellites are a crucial part of our everyday lives that enable global tracking of industrial activities. Use cases span many applications, from weather forecasting to digital maps, carbon footprint tracking, and vegetation monitoring.
Externí odkaz:
https://doaj.org/article/9c768d2947c348639bddd99d89f76cd9