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Quantum computing in power systems

Yifan Zhou, Zefan Tang, Nima Nikmehr, Pouya Babahajiani et al. • iEnergy (2022)

Electric power systems provide the backbone of modern industrial societies. Enabling scalable grid analytics is the keystone to successfully operating large transmission and distribution systems. However, today's power systems are suffering...

OPENALEX cc-by DOI: https://doi.org/10.23919/ien.2022.0021

Quantum Computing for Finance: State-of-the-Art and Future Prospects

Daniel J. Egger, Claudio Gambella, Jakub Marecek, Scott McFaddin et al. • IEEE Transactions on Quantum Engineering (2020)

This article outlines our point of view regarding the applicability, state-of-the-art, and potential of quantum computing for problems in finance. We provide an introduction to quantum computing as well as a survey on problem classes in fin...

OPENALEX cc-by DOI: https://doi.org/10.1109/tqe.2020.3030314

Quantum computing for beginners

A. Narayanan • IEEE Congress on Evolutionary Computation (CEC) (2003)

The paper introduces the basic concepts and principles behind quantum computing and examines in detail Shor's (1994) quantum algorithm for factoring very large numbers. Some basic methodological principles and guidelines for constructing qu...

OPENALEX DOI: https://doi.org/10.1109/cec.1999.785552

Quantum computing: pro and con

John P. Preskill • Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (1998)

I assess the potential of quantum computation. Broad and important applications must be found to justify construction of a quantum computer; I review some of the known quantum algorithms and consider the prospects for finding new ones. Quan...

OPENALEX Open Access DOI: https://doi.org/10.1098/rspa.1998.0171

Demonstration of Blind Quantum Computing

Stefanie Barz, Elham Kashefi, Anne Broadbent, Joseph F. Fitzsimons et al. • Science (2012)

Quantum computers, besides offering substantial computational speedups, are also expected to preserve the privacy of a computation. We present an experimental demonstration of blind quantum computing in which the input, computation, and out...

OPENALEX Open Access DOI: https://doi.org/10.1126/science.1214707

Potential of quantum computing for drug discovery

Yudong Cao, Jonathan Romero, Alán Aspuru‐Guzik • IBM Journal of Research and Development (2018)

Quantum computing has rapidly advanced in recent years due to substantial development in both hardware and algorithms. These advances are carrying quantum computers closer to their impending commercial utility. Drug discovery is a promising...

OPENALEX DOI: https://doi.org/10.1147/jrd.2018.2888987

Quantum Computing in Medicine

James C. L. Chow • Medical Sciences (2024)

Quantum computing (QC) represents a paradigm shift in computational power, offering unique capabilities for addressing complex problems that are infeasible for classical computers. This review paper provides a detailed account of the curren...

OPENALEX cc-by DOI: https://doi.org/10.3390/medsci12040067 PMC: 11586987

Open source software in quantum computing

Mark Fingerhuth, Tomáš Babej, Péter Wittek • PLoS ONE (2018)

Open source software is becoming crucial in the design and testing of quantum algorithms. Many of the tools are backed by major commercial vendors with the goal to make it easier to develop quantum software: this mirrors how well-funded ope...

OPENALEX cc-by DOI: https://doi.org/10.1371/journal.pone.0208561 PMC: 6301779

A Survey of Quantum Computing for Finance

Dylan Herman, Cody Googin, Xiaoyuan Liu, Alexey Galda et al. • RePEc: Research Papers in Economics (2022)

Quantum computers are expected to surpass the computational capabilities of classical computers during this decade and have transformative impact on numerous industry sectors, particularly finance. In fact, finance is estimated to be the fi...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.2201.02773

Distributed System Design

Xiao Chen • Scalable Computing Practice and Experience (2000)

Jie Wu CRC Press Publishing Company, Boca Raton, FL, 1998, 496 pp. ISBN 0-8493-3178-1, $74.95 The  Distributed System Design  is a superbly organized, comprehensive exposition of basic concepts, issues, and some possible solutions in the di...

OPENALEX DOI: https://doi.org/10.12694/scpe.v3i1.173

Concurrent robust checkpointing and recovery in distributed systems

Pei-Jyun Leu, Bharat Bhargava • IEEE International Conference on Data Engineering (ICDE) (2003)

A checkpoint/rollback algorithm is presented for multiple processes in a distributed system that uses message passing for communication. Each process in the system can initiate the algorithm autonomously. If only one instance of the algorit...

OPENALEX DOI: https://doi.org/10.1109/icde.1988.105457

On coordinated checkpointing in distributed systems

Guohong Cao, Mukesh Singhal • IEEE Transactions on Parallel and Distributed Systems (1998)

Coordinated checkpointing simplifies failure recovery and eliminates domino effects in case of failures by preserving a consistent global checkpoint on stable storage. However, the approach suffers from high overhead associated with the che...

OPENALEX DOI: https://doi.org/10.1109/71.737697

Cooperative load balancing in distributed systems

Daniel Grosu, Anthony Theodore Chronopoulos, Ming‐Ying Leung • Concurrency and Computation Practice and Experience (2008)

Abstract A serious difficulty in concurrent programming of a distributed system is how to deal with scheduling and load balancing of such a system which may consist of heterogeneous computers. In this paper, we formulate the static load‐bal...

OPENALEX DOI: https://doi.org/10.1002/cpe.1331

Epidemic information dissemination in distributed systems

Patrick Th. Eugster, Rachid Guerraoui, Anne-Marie Kermarrec, Laurent Massoulié • Computer (2004)

Easy to deploy, robust, and highly resilient to failures, epidemic algorithms are a potentially effective mechanism for propagating information in large peer-to-peer systems deployed on Internet or ad hoc networks. It is possible to adjust ...

OPENALEX Open Access DOI: https://doi.org/10.1109/mc.2004.1297243

Parallel Spectral Clustering in Distributed Systems

Wen-Yen Chen, Yangqiu Song, Hongjie Bai, Chih‐Jen Lin et al. • IEEE Transactions on Pattern Analysis and Machine Intelligence (2010)

Spectral clustering algorithms have been shown to be more effective in finding clusters than some traditional algorithms, such as k-means. However, spectral clustering suffers from a scalability problem in both memory use and computational ...

OPENALEX DOI: https://doi.org/10.1109/tpami.2010.88

Distributed Systems

Vivek S Kale • Auerbach Publications eBooks (2017)

This chapter addresses the issues involved in distributed databases, where a database is stored on more than one computer. It provides an introduction to parallel and distributed computing as a foundation for the better understanding of clo...

OPENALEX DOI: https://doi.org/10.4324/9781315368559-5