• Suche: Quantum Machine Learning with Python

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281

PyCTRAMER: A Python package for charge transfer rate constant of condensed-phase systems from Marcus theory to Fermi's golden rule.
Liu, Zengkui ; Brian, Dominikus ; Sun, Xiang
Journal of Chemical Physics. 8/14/2024, Vol. 161 Issue 6, p1-14. 14p.

CHARGE-transfer transiti... CHARGE transfer QUANTUM chemistry MOLECULAR dynamics ELECTRONIC structure
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284

Neural Network Antisymmetries for Quantum Many-Body Simulation
Lin, Jeffmin

Applied mathematics Computational chemistry Physical chemistry Electronic Structure Machine Learning Neural Networks …
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285

ElectroPredictor: An Application to Predict Mayr’s Electrophilicity E through Implementation of an Ensemble Model Based on Machine Learning Algorithms
Cuesta, Sebastián A. ; Moreno, Martín ; López, Romina A. ; et al.
Journal of Chemical Information and Modeling. 63(2):507-521

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286

Code for Unified Deep Learning Framework for Many-Body Quantum Chemistry via Green's Functions
Venturella, Christian ; orcid:0009-0005-0355- ; Zhu, Tianyu ; et al.

Quantum chemistry Machine learning
E-Ressource
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287

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288

Quantum-Driven Energy-Efficiency Optimization for Next-Generation Communications Systems
Su Fong Chien ; Heng Siong Lim ; Michail Alexandros Kourtis ; et al.
Energies, Vol 14, Iss 14, p 4090 (2021)

energy efficiency quantum computing quantum deep neural netw... quantum entanglement quantum machine learning quantum superposition …
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289

Hierarchical quantum circuit representations for neural architecture search
Lourens, Matt ; Sinayskiy, Ilya ; Park, Daniel K. ; et al.
npj Quantum Inf 9, 79 (2023)

Quantum Physics Computer Science - Artif...
Report
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290

The Role of Artificial Intelligence and Machine Learning in Quantitative Finance and Stock Market Forecasting
Tongyu Zheng
Advances in Economics, Management and Political Sciences. 135:98-102

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292

Ensembles of Quantum Classifiers
Tolotti, Emiliano ; Zardini, Enrico ; Blanzieri, Enrico ; et al.

E-Ressource
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293

Design of organic electronic materials with lower exciton binding energy: machine learning analysis and high-throughput screening.
Tahir, Mudassir Hussain ; Sultan, Nimra ; Shafiq, Zunaira ; et al.
Optical & Quantum Electronics. Aug2024, Vol. 56 Issue 8, p1-15. 15p.

MACHINE learning BINDING energy ELECTRONIC materials OPTOELECTRONIC devices ELECTRONIC equipment
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294

Modelos de Aprendizaje Profundo. Aplicaciones con R y Python
Pino Mejías, Rafael ; Universidad de Sevilla. Departamento de Estadística e Investigación Operativa ; Beltrán Barba, Raquel ; et al.

E-Ressource
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295

Quantum Neural Machine Learning : Theory and Experiments
Gonçalves, Carlos Pedro
MODID-6d55e02e354:IntechOpen

Computers / Information... bisacsh:COM032000
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296

NoMoPy: Noise Modeling in Python
Albrecht, Dylan ; Jacobson, N. Tobias
Proposed for presentation at the 2022 Silicon Quantum Electronics Workshop held October 2-5, 2022 in Orford, Quebec Canada.

Computational Engineerin... FOS: Computer and inform... Statistics - Machine Lea... Computer Science - Mathe... Machine Learning (stat.M... Computer Science - Compu... …
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298

Quantum-Assisted Support Vector Regression for Detecting Facial Landmarks
Dalal, Archismita ; Bagherimehrab, Mohsen ; Sanders, Barry C. ; et al.

E-Ressource
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299

High-Rank Irreducible Cartesian Tensor Decomposition and Bases of Equivariant Spaces
Shao, Shihao ; Li, Yikang ; Lin, Zhouchen ; et al.

Machine Learning Chemical Physics (physic... FOS: Computer and inform... Computational Physics Quantum Physics Chemical Physics …
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300

Quantum machine learning: a theoretical study-case and practical implementation of PCA using quantum computing
Laguna Guantiva, Mateo ; Núñez Castro, Haydemar María

Quantum computing Machine learning AWS Ingeniería
Dissertation
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