• Suche: Quantum Machine Learning with Python

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221

Rapid Autotuning of a SiGe Quantum Dot into the Single-Electron Regime with Machine Learning and RF-Reflectometry FPGA-Based Measurements
Roux, Marc-Antoine ; Rivard, Joffrey ; Yon, Victor ; et al.
https://hal.science/hal-05330586 ; 2025.

Mesoscale and Nanoscale... Quantum Physics (quant-p... FOS: Physical sciences [SPI]Engineering Science...
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222

QuForge: A library for qudits simulation
Tiago de Souza Farias ; Lucas Friedrich ; Jonas Maziero
Computer Physics Communications. 314:109687

FOS: Computer and inform... Quantum Physics Computer Science - Machi... FOS: Physical sciences Quantum Physics (quant-p... Machine Learning (cs.LG)
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223

Red Teaming Generative AI/NLP, the BB84 quantum cryptography protocol and the NIST-approved Quantum-Resistant Cryptographic Algorithms
Omar Santos ; David De Roure ; Petar radanliev
SSRN Electronic Journal.

FOS: Computer and inform... Computer Science - Machi... Computer Science - Crypt... Cybersecurity Computer Science - Emerg... Knowledge development …
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224

VENUSpy: A Chemical Dynamics Simulation Program in the Era of Machine Learning and Exascale Computing
Kazuumi Fujioka ; Jonathan Waldrop ; Ryan Richard ; et al.

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225

Weighted Brain Network Metrics for Decoding Action Intention Understanding Based on EEG
Xingliang Xiong ; Zhenhua Yu ; Tian Ma ; et al.
Front Hum Neurosci
Frontiers in Human Neuroscience, Vol 14 (2020)

0301 basic medicine Artificial intelligence Social Psychology Action (physics) action intention underst... Cognitive Neuroscience …
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226

Prediction of Solar Irradiation Using Quantum Support Vector Machine Learning Algorithm
B. M. Taele ; Makhamisa Senekane
Smart Grid and Renewable Energy. :293-301

2. Zero hunger 0103 physical sciences 01 natural sciences
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227

Quantum Neural Network-Based Deep Learning System to Classify Physical Timeline Acceleration Data of Agricultural Workers
Shinji Kawakura ; Ryosuke Shibasaki
European Journal of Agriculture and Food Sciences. 2

2. Zero hunger
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228

Boost invariant polynomials for efficient jet tagging
Jose M Munoz ; Ilyes Batatia ; Christoph Ortner
Machine Learning: Science and Technology. 3:04LT05

FOS: Computer and inform... Computer Science - Machi... Nuclear and High Energy... Artificial intelligence FOS: Political science Advancements in Particle... …
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229

Advances in physics-informed neural networks for solving complex partial differential equations and their engineering applications: A systematic review
Guo, Jiangtao ; Zhu, Hao ; Yang, Yujie ; et al.
In Engineering Applications of Artificial Intelligence 9 December 2025 161 Part B

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230

CLAWDIA: A dictionary learning framework for gravitational-wave data analysis
Llorens-Monteagudo, Miquel ; Torres-Forné, Alejandro ; Font, José A.

Instrumentation and Meth... General Relativity and Q...
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231

Quantifying vocabulary learning belief and strategy - A validation study of the Vietnamese version of Gu's (2018) vocabulary learning questionnaire
Nguyen Huynh Trang ; Duy Vinh Truong ; Hung Tan Ha
Heliyon
Heliyon, Vol 9, Iss 5, Pp e16009-(2023)

Artificial intelligence Science (General) Developmental psychology Social Sciences Vocabulary Language and Linguistics …
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232

QDsim: A user-friendly toolbox for simulating large-scale quantum dot devices
Gualtieri, Valentina ; Renshaw-Whitman, Charles ; Hernandes, Vinicius ; et al.
SciPost Phys. Codebases 46 (2025)

Condensed Matter - Mesos... Quantum Physics
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233

Analysis of the Internal Marketing Dimensions in Social Economy Organizations: Study Applied to Co-operativism in Ecuador
Francisco González Santa Cruz ; Nelly Moreira Mero ; María Iliana Loor Alcívar ; et al.
Front Psychol
González Santa Cruz, F., Moreira Mero, N., Loor Alcívar, M. I., & Hidalgo Fernández, A. (2020). Analysis of the internal marketing dimensions in social economy organizations: Study applied to co-operativism in Ecuador. Frontiers in psychology, 11, 580673. https://doi.org/10.3389/fpsyg.2020.580673
Helvia. Repositorio Institucional de la Universidad de Córdoba
instname
Frontiers in Psychology, Vol 11 (2020)

measuring scale internal marketing dimen... Sociology and Political... Scale (ratio) Economics Knowledge management …
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234

Adaptation of the Beck Anxiety Inventory in population of Buenos Aires
Nicolás Alejandro Vizioli ; Alejandro Emilio Pagano
Interacciones, Vol 6, Iss 3, p e171 (2020)
Interacciones; Vol. 6, Num. 3 (2020): Septiembre-Diciembre; e171
Interacciones; Vol. 6, Num. 3 (2020): September-December; e171
Interacciones: Revistas de Avances en Psicología; Vol. 6, Num. 3 (2020): September-December; e171
Interacciones
Instituto Peruano de Orientación Psicológica
instacron:IPOPS

bai content validity Beck Depression Inventor... FOS: Political science Social Sciences Anxiety …
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236

Category Theory for Quantum Natural Language Processing
Toumi, Alexis

Mathematics - Category T... Computer Science - Compu... Quantum Physics
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237

Hierarchical quantum circuit representations for neural architecture search.
Lourens, Matt ; Sinayskiy, Ilya ; Park, Daniel K. ; et al.
NPJ Quantum Information; 8/5/2023, Vol. 9 Issue 1, p1-15, 15p

NEURAL circuitry SPACE (Architecture) ARCHITECTURAL design PYTHON programming langu... CONVOLUTIONAL neural net... POPULAR music genres
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239

Python in Chemistry: Physicochemical Tools
Fedor V. Ryzhkov ; Yuliya E. Ryzhkova ; Michail N. Elinson
Processes, Vol 11, Iss 2897, p 2897 (2023)

Python computational chemistry thermodynamics kinetics quantum chemistry molecular mechanics …
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240

Supplemantary material for Identifying Flaky Tests in Quantum Code: A Machine Learning Approach
Kaur, Khushdeep ; Kim, Dongchan ; Jamshidi, Ainaz ; et al.

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