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Introduction to Quantum Computing

Surya Teja Marella, Hemanth Sai Kumar Parisa • IntechOpen eBooks (2020)

Quantum computing is a modern way of computing that is based on the science of quantum mechanics and its unbelievable phenomena. It is a beautiful combination of physics, mathematics, computer science and information theory. It provides hig...

OPENALEX cc-by DOI: https://doi.org/10.5772/intechopen.94103

Quantum computing: A taxonomy, systematic review and future directions

Sukhpal Singh Gill, Adarsh Kumar, Harvinder Singh, Manmeet Singh et al. • Software Practice and Experience (2021)

Abstract Quantum computing (QC) is an emerging paradigm with the potential to offer significant computational advantage over conventional classical computing by exploiting quantum‐mechanical principles such as entanglement and superposition...

OPENALEX Open Access DOI: https://doi.org/10.1002/spe.3039

Quantum Computing

Michael Nofer, Kevin Bauer, Oliver Fast Hinz, Wil M. P. van der Aalst et al. • Business & Information Systems Engineering (2023)

There are signs that we are approaching a technical revolution that might take humankind’s computational capabilities to a new level. Quantum Computing leverages the principles of quantum mechanics, enabling the computational power to solve...

OPENALEX cc-by DOI: https://doi.org/10.1007/s12599-023-00823-w

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

Dynamic Thermal Management for Distributed Systems

Andreas Weißel, Frank Bellosa • Repository KITopen (Karlsruhe Institute of Technology) (2004)

In modern data centers, the impact on the thermal properties by increased scale and power densities is enormous and poses new challenges on the designers of both computing as well as cooling systems. Controltheoretic techniques have proven ...

OPENALEX Open Access DOI: https://doi.org/10.5445/ir/1000002572

Power and Energy Profiling of Scientific Applications on Distributed Systems

Xizhou Feng, Rong Ge, Kirk W. Cameron • IEEE International Parallel and Distributed Processing Symposium (IPDPS) (2005)

Power consumption is a troublesome design constraint for emergent systems such as IBM's BlueGene /L. If current trends continue, future petaflop systems will require 100 megawatts of power to maintain high-performance. To address this probl...

OPENALEX DOI: https://doi.org/10.1109/ipdps.2005.346

Cybersecurity in Cyber–Physical Power Systems

Luiz F. R. Monteiro, Yuri Reis Rodrigues, Antônio Carlos Zambroni de Souza • Energies (2023)

The current energy transition combined with the modernization of power systems has provided meaningful transformations in the transmission, distribution, operation, planning, monitoring, and control of power systems. These advancements are ...

OPENALEX cc-by DOI: https://doi.org/10.3390/en16124556

Cybersecurity and the Smarter Grid

Carol Hawk, Akhlesh Kaushiva • The Electricity Journal (2014)

Reliability remains a fundamental principle of grid modernization efforts, but in today's world, reliability requires cybersecurity. This article discusses energy sector partnerships that are designing cybersecurity into the smart grid with...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.tej.2014.08.008

Cybersecurity for distributed energy resources and smart inverters

Junjian Qi, Adam Hahn, Xiaonan Lu, Jianhui Wang et al. • IET Cyber-Physical Systems Theory & Applications (2016)

The increased penetration of distributed energy resources (DER) will significantly increase the number of devices that are owned and controlled by consumers and third‐parties. These devices have a significant dependency on digital communica...

OPENALEX cc-by-nc DOI: https://doi.org/10.1049/iet-cps.2016.0018

Weight Uncertainty in Neural Networks

Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, Daan Wierstra • arXiv (Cornell University) (2015)

We introduce a new, efficient, principled and backpropagation-compatible algorithm for learning a probability distribution on the weights of a neural network, called Bayes by Backprop. It regularises the weights by minimising a compression ...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.1505.05424

Photonic Neural Networks: A Survey

Lorenzo De Marinis, Marco Cococcioni, P. Castoldi, Nicola Andriolli • IEEE Access (2019)

Photonic solutions are today a mature industrial reality concerning high speed, high throughput data communication and switching infrastructures. It is still a matter of investigation to what extent photonics will play a role in next-genera...

OPENALEX cc-by DOI: https://doi.org/10.1109/access.2019.2957245

Lagrangian Neural Networks

Miles Cranmer, Sam Greydanus, Stephan Hoyer, Peter Battaglia et al. • arXiv (Cornell University) (2020)

Accurate models of the world are built upon notions of its underlying symmetries. In physics, these symmetries correspond to conservation laws, such as for energy and momentum. Yet even though neural network models see increasing use in the...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.2003.04630

Hamiltonian Neural Networks

Sam Greydanus, Misko Dzamba, Jason Yosinski • arXiv (Cornell University) (2019)

Even though neural networks enjoy widespread use, they still struggle to learn the basic laws of physics. How might we endow them with better inductive biases? In this paper, we draw inspiration from Hamiltonian mechanics to train models th...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.1906.01563

An Energy Efficient Distance-Aware Routing Algorithm with Multiple Mobile Sinks for Wireless Sensor Networks

Jin Wang, Bin Li, Feng Xia, Chang-Seob Kim et al. • Sensors (2014)

Traffic patterns in wireless sensor networks (WSNs) usually follow a many-to-one model. Sensor nodes close to static sinks will deplete their limited energy more rapidly than other sensors, since they will have more data to forward during m...

DOAJ Open Access (DOAJ) DOI: 10.3390/s140815163

Numerical computation of Brownian motion and thermophoresis effects on rotational micropolar nanomaterials with activation energy

Hassan Waqas, Shan Ali Khan, Bagh Ali, Dong Liu et al. • Propulsion and Power Research (2023)

The current article investigates the numerical study of the micropolar nanofluid flow through a 3D rotating surface. This communication may manipulate for the aim such as the delivery of the drug, cooling of electronic chips, nanoscience an...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jppr.2023.05.005

IEEE Access Special Section Editorial: Toward Service-Centric Internet of Things (IoT): From Modeling to Practice

Yue Cao, Omprakash Kaiwartya, Xiaodong Xu, William Liu et al. • IEEE Access (2021)

The Internet of Things (IoT) refers to an emerging paradigm to seamlessly and ubiquitously integrate a large number of smart things with intra/inter links to the physical and cyber worlds. Sensor-enabled communication technologies connect b...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2021.3090136

An IXPE-led X-Ray Spectropolarimetric Campaign on the Soft State of Cygnus X-1: X-Ray Polarimetric Evidence for Strong Gravitational Lensing

James F. Steiner, Edward Nathan, Kun Hu, Henric Krawczynski et al. • The Astrophysical Journal Letters (2024)

We present the first X-ray spectropolarimetric results for Cygnus X-1 in its soft state from a campaign of five IXPE observations conducted during 2023 May–June. Companion multiwavelength data during the campaign are likewise shown. The 2–8...

DOAJ Open Access (DOAJ) DOI: 10.3847/2041-8213/ad58e4