• Suche: Quantum Machine Learning with Python

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181

TorchQC - A framework for efficiently integrating machine and deep learning methods in quantum dynamics and control.
Koutromanos, Dimitris ; Stefanatos, Dionisis ; Paspalakis, Emmanuel
Computer Physics Communications. May2025, Vol. 310, pN.PAG-N.PAG. 1p.

MACHINE learning DEEP reinforcement learn... REINFORCEMENT learning QUANTUM theory QUANTUM states
Zeitschrift
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183

V29 - Spectral Kernel and Ledger - Certified Energy Monotonicity and Divergence-Free Projection in the RSI Framework
Foster, Camaron

Machine Learning Artificial intelligence Fractals Artificial Intelligence Mathematical physics Machine learning …
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184

V28 - Phase-Boundary Attestation and Avalanche-Safe Collapse - Certified Boundary Mechanics in the RSI Framework
Foster, Camaron

Machine Learning Artificial intelligence Fractals Artificial Intelligence Mathematical physics Machine learning …
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185

V27 - Scale and SO(2) Coherence - Certified Invariance and Topological Stability in the RSI Framework
Foster, Camaron

Machine Learning Artificial intelligence Fractals Artificial Intelligence Mathematical physics Machine learning …
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186

A new technique based on the eigenvalue of the curvature tensor for enhancing gravity data
Luan Thanh Pham
Annals of Geophysics. 67:DM213

Tensor (intrinsic defini... Geometry Magnetosome Formation in... Oceanography 01 natural sciences Quantum mechanics …
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188

Differentiable Quantum Programming with Unbounded Loops.
Fang, Wang ; Ying, Mingsheng ; Wu, Xiaodi
ACM Transactions on Software Engineering & Methodology; Jan2024, Vol. 33 Issue 1, p1-63, 63p

AUTOMATIC differentiatio... QUANTUM computing PROGRAMMING languages QUANTUM computers MACHINE learning
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189

Meta-Designing Quantum Experiments with Language Models
Arlt, S. ; Duan, H. ; Li, F. ; et al.
arXiv 2406.02470

Machine Learning FOS: Computer and inform... Quantum Physics FOS: Physical sciences Quantum Physics (quant-p... Machine Learning (cs.LG)
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190

Δ-Quantum machine-learning for medicinal chemistry
Atz, Kenneth ; Isert, Clemens ; Böcker, Markus N.A. ; et al.
Physical Chemistry Chemical Physics, 24 (18)

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191

NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems
Vicentini, F. ; Hofmann, D. ; Szabó, A. ; et al.
SciPost Physics Codebases

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192

HTESP (High-throughput electronic structure package): A package for high-throughput ab initio calculations
Nepal, Niraj K. ; Canfield, Paul C. ; Wang, Lin-Lin
In Computational Materials Science September 2024 244

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193

SmartCADD: AI-QM Empowered Drug Discovery Platform with Explainability
Ayesh Madushanka ; Eli Laird ; Corey Clark ; et al.
Journal of Chemical Information and Modeling. 64:6799-6813

Molecular Docking Simula... Deep Learning Artificial Intelligence Anti-HIV Agents Drug Design Drug Discovery …
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194

Approximation of quantum control correction scheme using deep neural networks
Ostaszewski, M. ; Miszczak, J. A. ; Sadowski, P. ; et al.
Quantum Inf Process (2019), 18:126

Quantum Physics Computer Science - Machi...
Report
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195

Kvantu mašīnmācīšanās – klasterēšanas algoritma implementēšana ; Quantum machine learning – clustering algorithm implementation
Koturova, Elizabete ; Dimitrijevs, Maksims ; Latvijas Universitāte. Datorikas fakultāte

Datorzinātne Kvanti mašīnmācīšanās Qiskit klasterēšana Python
Dissertation
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196

Optimized Design with Artificial Intelligence Quantum Dot White Mini LED Backlight Module Development.
Lee, Tzu-Yi ; Huang, Wei-Ta ; Chen, Jo-Hsiang ; et al.
Crystals (2073-4352); Oct2023, Vol. 13 Issue 10, p1411, 13p

ARTIFICIAL intelligence QUANTUM dots LED displays DISTRIBUTION (Probabilit... MACHINE learning ARCHITECTURAL design
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197

QCforever: A Quantum Chemistry Wrapper for Everyone to Use in Black-Box Optimization
Masato Sumita ; Kei Terayama ; Ryo Tamura ; et al.
J Chem Inf Model

Machine Learning 0301 basic medicine 0303 health sciences 03 medical and health sc... Databases, Factual Humans …
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198

An uncertainty approach for Electric Submersible Pump modeling through Deep Neural Network
Erbet A. Costa ; Carine M. Rebello ; Vinícius V. Santana ; et al.
Heliyon
Heliyon, Vol 10, Iss 2, Pp e24047-(2024)

Artificial neural networ... Advanced Techniques in R... Artificial intelligence Science (General) MCMC Ocean Engineering …
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199

Employing neural density functionals to generate potential energy surfaces.
Jijila, B ; Nirmala, V. ; Selvarengan, P. ; et al.
Journal of Molecular Modeling; Mar2024, Vol. 30 Issue 3, p1-18, 18p

POTENTIAL energy surface... DENSITY functionals MACHINE learning SCIENCE journalism QUANTUM computing DEEP learning
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200

Open-source Δ-quantum machine learning for medicinal chemistry
Kenneth Atz ; Clemens Isert ; Markus N. A. Böcker ; et al.

3. Good health
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