Search Results - Variational quantum algorithmes

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  1. 1

    Supervised Learning with Quantum Computers by Schuld, Maria

    ISBN: 9783319964249
    ISSN: 2364-9054
    Published: Cham : Springer International Publishing, 2018.
    Table of Contents: “…Introduction -- Background -- How quantum computers can classify data -- Organisation of the book -- Machine Learning -- Prediction -- Models -- Training -- Methods in machine learning -- Quantum Information -- Introduction to quantum theory -- Introduction to quantum computing -- An example: The Deutsch-Josza algorithm -- Strategies of information encoding -- Important quantum routines -- Quantum advantages -- Computational complexity of learning -- Sample complexity -- Model complexity -- Information encoding -- Basis encoding -- Amplitude encoding -- Qsample encoding -- Hamiltonian encoding -- Quantum computing for inference -- Linear models -- Kernel methods -- Probabilistic models -- Quantum computing for training -- Quantum blas -- Search and amplitude amplification -- Hybrid training for variational algorithms -- Quantum adiabatic machine learning -- Learning with quantum models -- Quantum extensions of Ising-type models -- Variational classifiers and neural networks -- Other approaches to build quantum models -- Prospects for near-term quantum machine learning -- Small versus big data -- Hybrid versus fully coherent approaches -- Qualitative versus quantitative advantages -- What machine learning can do for quantum computing -- References.…”

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  2. 2

    Advances in Smart Grid and Renewable Energy Proceedings of ETAEERE-2016 /

    ISBN: 9789811042867
    ISSN: 1876-1100 ;
    Published: Singapore : Springer Singapore , 2018.
    Table of Contents: “…Clustered Prosumer Penalty Framework on Smart Grid -- Critical Evaluation of Offline MPPT Techniques of Solar PV for Standalone Applications -- Design of Permanent Magnet Synchronous Generator for Wind Energy Conversion System using -- Design and Development Of Buck-Boost Regulator For DC Motor Used In Electric Vehicle For The Application Of Renewable Energy -- The Particle Swarm Optimization algorithm for maximum power extraction of solar PV array -- PV Fed Eleven Level Capacitor Switching Multi-Level Inverter for Grid Integration -- Daylight Harvesting Concepts and Its Application: A Review -- Smart Switching algorithm between IC and PO Algorithms for Grid connected PV System -- A Novel Educational Proposal and Strategies towards promoting Cloud Computing, Big-Data, and Human Computer Interaction in Engineering Colleges and Universities -- Annual energy, exergy and environmental benefits of N half covered concentrated photovoltaic thermal (CPVT) air collectors -- An Experimental Realization of Grid Connected PV System with MPPT using dSPACE DS 1104 Control Board -- Study on the effect of tilt on the variation of aperture area shading in a linear Fresnel reflector field for two different configurations -- Design Analysis and Implementation of MPPT using PSIM -- A New Switching Pattern Scheme Based Com-pact Integrated 15-Level Smart Inverter for Mi-cro-Grid System using Fuzzy Controller -- Experimental Investigation of VFD fed scalar control of Induction Motor for Pumping Application -- Fuzzy Based Micro Grid Energy Management System using Interleaved Boost Converter and Three Level NPC Inverter with Improved Grid Voltage Quality -- Design and Implementation of Solar Powered Low Cost Model of Greenhouse System -- Energy Storage Considerations for High Renewable Power Penetration: A Case Study -- PEM Fuel Cell System Identification and Control -- Harvesting insolation using Mo-W-Sulfide compound nanoparticle semiconductor as photocatalyst: a pollution controlling material -- Thermal Performance Analysis of a Box-Type Solar Cooker with Finned Pot: An Experimental Approach -- Quantum streaming instabilities in multicomponent plasma with dust particles -- Deterministic node deployment for connected target coverage problem in heterogeneous wireless sensor networks for monitoring wind farm -- Review of Maximum Power Point Tracking Algorithms for Photovoltaic Applications.…”

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