Results 111 to 120 of about 8,389,880 (297)
Quantum Machine Learning vs Classical Machine Learning: A Comparative Study from Scratch
This thesis presents a comparative study of quantum machine learning and classical machine learning developed from first principles. It begins by establishing the foundations of the quantum circuit model, observables, and projective measurement, and then
Barón Sandoval, Juan Pablo
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Demagnetization‐Driven Nanoscale Chirality‐Selective Phonon Transport
Advanced Materials, EarlyView.Chiral heat flow is switched in a ferromagnet/chiral α‐SiO2 heterostructure by controlling the angular momentum of demagnetization‐driven chiral phonons. When phonon handedness matches the crystal chirality, nanoscale thermal transport is enhanced; the opposite handedness suppresses transport, establishing a magnetization‐tunable chiral phonon diode ...
In Hyeok Choi +8 more
wiley +1 more source
Biomass DNA: An Emerging Building Block for Advanced Materials
Advanced Materials, EarlyView.Biomass DNA is rapidly emerging from its traditional role as a genetic blueprint to serve as a versatile abundant, highly programmable polymeric building block. This review highlights the transformation of macroscopic bulk biomass DNA into next generation of functional materials, spanning from dynamic hydrogels, sustainable bioplastics, and high ...
Yuwei Hu, Itamar Willner, Li Niu
wiley +1 more source
PegasosQSVM: A Quantum Machine Learning Approach for Accurate Fake News Detection
Applied Artificial IntelligenceThe rapid spread of fake news on social media poses a significant threat to modern societies. Traditional machine learning approaches have limitations in handling the ever-increasing volume and complexity of data.
Mehdi Khalil +3 more
doaj +1 more source
Explaining quantum circuits with Shapley values: towards explainable quantum machine learning
Methods of artificial intelligence (AI) and especially machine learning (ML) have been growing ever more complex, and at the same time have more and more impact on people’s lives.
Heese, Raoul +5 more
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Quantum machine learning [PDF]
National Science Review, 2018 Allcock, Jonathan, Zhang, Shengyu
openaire +2 more sources
Advanced Materials Interfaces, EarlyView.A pyrenylated donor–acceptor probe exhibits environment‐dependent fluorescence governed by intramolecular charge transfer, restricted molecular motion, and supramolecular organization. Nonlinear regression accurately reconstructs fluorescence responses to viscosity, temperature, concentration, and pH, while correlated parameter maps reveal hidden ...
Harshal V. Barkale +2 more
wiley +1 more source
ITEGAM-JETIAMedical Health Informatics has envisaged quantum computing as flurry of promising solutions to deal with mental health related issues of young adults in recent times.
Mrutyunjaya Panda, Saumya Ranjan Mahanta
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An Introduction to Quantum Machine Learning for Engineers
Foundations and Trends® in Signal Processing, 2022 In the current noisy intermediate-scale quantum (NISQ)era, quantum machine learning is emerging as a dominant paradigm to program gate-based quantum computers. In quantum machine learning, the gates of a quantum circuit are parameterized, and the parameters are tuned via classical optimization based on data and on measurements of the outputs of the ...
openaire +6 more sources
Advanced Materials Interfaces, EarlyView.This review outlines critical engineering design rules for building artificial protective coatings on next‐generation lithium metal and silicon battery anodes. It highlights how balancing structural flexibility with strict electronic and ionic transport limits prevents early battery failure.
Surin Gupte, Vilas G. Pol
wiley +1 more source