Results 51 to 60 of about 21,815 (240)
Remote Sensing, 2022 A quantum machine is a human-made device whose collective motion follows the laws of quantum mechanics. Quantum machine learning (QML) is machine learning for quantum computers.
Riyaaz Uddien Shaik +2 more
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Machine learning for quantum matter [PDF]
Advances in Physics: X, 2020 34 pages, 4 figures, 290 references.
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Advanced Functional Materials, EarlyView.Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley +1 more source
Taking advantage of noise in quantum reservoir computing
Scientific Reports, 2023 The biggest challenge that quantum computing and quantum machine learning are currently facing is the presence of noise in quantum devices. As a result, big efforts have been put into correcting or mitigating the induced errors. But, can these two fields
L. Domingo, G. Carlo, F. Borondo
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Machine learning and quantum devices [PDF]
SciPost Physics Lecture Notes, 2021 These brief lecture notes cover the basics of neural networks and deep learning as well as their applications in the quantum domain, for physicists without prior knowledge. In the first part, we describe training using backpropagation, image classification, convolutional networks and autoencoders.
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Bio‐Inspired Molecular Events in Poly(Ionic Liquids)
Advanced Functional Materials, EarlyView.Originating from dipolar and polar inter‐ and intra‐chain interactions of the building blocks, the topologies and morphologies of poly(ionic liquids) (PIL) govern their nano‐ and micro‐processibility. Modulating the interactions of cation‐anion pairs with aliphatic dipolar components enables the tunability of properties, facilitated by “bottom‐up ...
Jiahui Liu, Marek W. Urban
wiley +1 more source
Indoor–Outdoor Detection in Mobile Networks Using Quantum Machine Learning Approaches
Computers, 2021 Communication networks are managed more and more by using artificial intelligence. Anomaly detection, network monitoring and user behaviour are areas where machine learning offers advantages over more traditional methods.
Frank Phillipson +2 more
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Nonunitary quantum machine learning
Physical Review AppliedWe introduce several probabilistic quantum algorithms that overcome the normal unitary restrictions in quantum machine learning by leveraging the linear combination of unitaries (LCU) method. We cover three distinct topics, beginning with quantum native implementations of residual networks (ResNets).
Jamie Heredge +3 more
openaire +2 more sources
Advanced Functional Materials, EarlyView.A pixelation‐free, monolithic iontronic pressure sensor enables simultaneous pressure and position sensing over large areas. AC‐driven ion release generates spatially varying impedance pathways depending on the pressure. Machine learning algorithms effectively decouple overlapping pressure–position signals from the multichannel outputs, achieving high ...
Juhui Kim +10 more
wiley +1 more source
A quantum-inspired classifier for clonogenic assay evaluations
Scientific Reports, 2021 Recent advances in Quantum Machine Learning (QML) have provided benefits to several computational processes, drastically reducing the time complexity.
Giuseppe Sergioli +7 more
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