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Distributed quantum computing: A distributed Shor algorithm [PDF]

open access: yesSPIE Proceedings, 2004
We present a distributed implementation of Shor's quantum factoring algorithm on a distributed quantum network model. This model provides a means for small capacity quantum computers to work together in such a way as to simulate a large capacity quantum ...
Lomonaco Jr, Samuel J.   +1 more
core   +6 more sources

Energy Management Without Iteration—A Regional Dispatch Event-Triggered Algorithm for Energy Internet

open access: yesFrontiers in Energy Research, 2022
Centralized algorithms and distributed algorithms have gained great attention on the energy Internet nowadays. The centralized algorithm presses too much communication and numeration load to its control center in large-scale and neterogeny EI.
Jiaming Tan
doaj   +1 more source

Bi-layer optimal secondary frequency control approach for energy storage clusters considering wind power uncertainty

open access: yesFrontiers in Energy Research, 2022
Increasing penetration of wind power with intermittency and variability threatens the stability of the power system frequency. The fast response capability of the energy storage system (ESS) makes it an effective measure to improve frequency regulation ...
Zizhao Wang   +4 more
doaj   +1 more source

Distributed Shor's algorithm

open access: yesQuantum Information and Computation, 2023
Shor's algorithm is one of the most important quantum algorithm proposed by Peter Shor [Proceedings of the 35th Annual Symposium on Foundations of Computer Science, 1994, pp. 124--134]. Shor's algorithm can factor a large integer with certain probability and costs polynomial time in the length of the input integer.
Xiao, Ligang   +3 more
openaire   +2 more sources

Based on the difference of Newton’s method integrated energy system distributed collaborative optimization

open access: yesFrontiers in Energy Research, 2023
With the integration of renewable energy into the grid, the traditional power system stability faced by huge challenges, and the development of integrated energy system, it is of essence to improve the coupling of multiple integrated energy systems of ...
Xinying Liu, Xu Chen, Xinyu Ke
doaj   +1 more source

DDR-coin: An Efficient Probabilistic Distributed Trigger Counting Algorithm

open access: yesSensors, 2020
A distributed trigger counting (DTC) problem is to detect w triggers in the distributed system consisting of n nodes. DTC algorithms can be used for monitoring systems using sensors to detect a significant global change.
Seokhyun Kim, Yongsu Park
doaj   +1 more source

A Two-Stage Distributed Task Assignment Algorithm Based on Contract Net Protocol for Multi-UAV Cooperative Reconnaissance Task Reassignment in Dynamic Environments

open access: yesSensors, 2023
Multi-UAV systems have been widely used in reconnaissance, disaster relief, communication, and other fields. However, many dynamic events can cause a partial failure of the original mission during the mission execution process, in which case task ...
Gang Wang, Xiao Lv, Xiaohu Yan
doaj   +1 more source

A Distributed Algorithm For Almost-Nash Equilibria of Average Aggregative Games With Coupling Constraints

open access: yesIEEE Transactions on Control of Network Systems, 2020
We consider the framework of average aggregative games, where the cost function of each agent depends on his own strategy and on the average population strategy.
F. Parise, Basilio Gentile, J. Lygeros
semanticscholar   +1 more source

Accelerated Voltage Regulation in Multi-Phase Distribution Networks Based on Hierarchical Distributed Algorithm [PDF]

open access: yesIEEE Transactions on Power Systems, 2019
We propose a hierarchical distributed algorithm to solve optimal power flow (OPF) problems that aim at dispatching controllable distributed energy resources (DERs) for voltage regulation at minimum cost.
Xinyang Zhou   +3 more
semanticscholar   +1 more source

Distributed Support Vector Ordinal Regression over Networks

open access: yesEntropy, 2022
Ordinal regression methods are widely used to predict the ordered labels of data, among which support vector ordinal regression (SVOR) methods are popular because of their good generalization.
Huan Liu, Jiankai Tu, Chunguang Li
doaj   +1 more source

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