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Prashant S. Emani, Jonathan Warrell, Alan Anticevic, Stefan Bekiranov et al. • Nature Methods
(2021)
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Open Access
DOI: https://doi.org/10.1038/s41592-020-01004-3
PMC: 8254820
Marcello Caleffi, Michele Amoretti, Davide Ferrari, Jessica Illiano et al. • Computer Networks
(2024)
Nowadays, quantum computing has reached the engineering phase, with fully-functional quantum processors integrating hundreds of noisy qubits. Yet – to fully unveil the potential of quantum computing out of the labs into the business reality...
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cc-by-nc-nd
DOI: https://doi.org/10.1016/j.comnet.2024.110672
Colin P. Williams • Lecture notes in computer science
(1999)
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DOI: https://doi.org/10.1007/3-540-49208-9
Young‐Seok Kim, Andrew Eddins, Sajant Anand, Ken Xuan Wei et al. • Nature
(2023)
Abstract Quantum computing promises to offer substantial speed-ups over its classical counterpart for certain problems. However, the greatest impediment to realizing its full potential is noise that is inherent to these systems. The widely ...
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DOI: https://doi.org/10.1038/s41586-023-06096-3
PMC: 10266970
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...
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DOI: https://doi.org/10.1147/jrd.2018.2888987
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...
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DOI: https://doi.org/10.3390/medsci12040067
PMC: 11586987
Jack D. Hidary • Springer eBooks
(2019)
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DOI: https://doi.org/10.1007/978-3-030-23922-0
John P. Preskill • Quantum
(2018)
Noisy Intermediate-Scale Quantum (NISQ) technology will be available in the near future. Quantum computers with 50-100 qubits may be able to perform tasks which surpass the capabilities of today's classical digital computers, but noise in q...
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DOI: https://doi.org/10.22331/q-2018-08-06-79
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...
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DOI: https://doi.org/10.1371/journal.pone.0208561
PMC: 6301779
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...
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Open Access
DOI: https://doi.org/10.48550/arxiv.2201.02773
Aneesh Khole, Atharva Thakar, Avadhoot Kulkarni, Hrithik Jadhav et al. • arXiv (Cornell University)
(2023)
Computer systems have evolved over the years starting from sizable, single-user, slow, and expensive machines to multi-user, fast, cheaper, and small-sized machines. The use of multi-user computer networks has given rise to a new paradigm o...
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public-domain
DOI: https://doi.org/10.48550/arxiv.2302.03990
Daniel Barbará, Héctor García-Molina • Distributed Computing
(1986)
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DOI: https://doi.org/10.1007/bf01786230
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...
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DOI: https://doi.org/10.12694/scpe.v3i1.173
Jian Chen, Valerie Taylor • ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC)
(2002)
Distributed systems, which consist of a collection of high performance systems interconnected via high performance networks (e.g. ATM), are becoming feasible platforms for execution of large-scale, complex problems. We address various issue...
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DOI: https://doi.org/10.1109/hpdc.1998.710015
G.R. Nudd, Darren J. Kerbyson, E. Papaefstathiou, S. C. Perry et al. • The International Journal of High Performance Computing Applications
(2000)
This paper describes a methodology that provides detailed predictive performance information throughout the software design and implementation cycles. It is structured around a hierarchy of performance models that describe the computing sys...
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DOI: https://doi.org/10.1177/109434200001400306
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...
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DOI: https://doi.org/10.1109/71.737697
Massimo Bartoletti, Emilio Tuosto, Roberto Zunino • Electronic Proceedings in Theoretical Computer Science
(2011)
We present a parametric calculus for contract-based computing in distributed systems. By abstracting from the actual contract language, our calculus generalises both the contracts-as-processes and contracts-as-formulae paradigms. The calcul...
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cc-by-nc-nd
DOI: https://doi.org/10.4204/eptcs.59.11
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...
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DOI: https://doi.org/10.1002/cpe.1331
P.M. Berlln, Brian Randell • IEEE International Symposium on Fault-Tolerant Computing
(2005)
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DOI: https://doi.org/10.1109/ftcsh.1995.532636
Pranabananda Chakraborty • Chapman & Hall/CRC eBooks
(2023)
This chapter demystifies computing systems consisting of multiple CPUs, shared and distributed memory, and different types of I/O in the form of multiprocessors and multicomputers that eventually gave rise to distributed computing systems a...
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DOI: https://doi.org/10.1201/9781003383055-9