• Suche: Quantum Machine Learning with Python

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101

On the Applicability of Quantum Machine Learning.
Raubitzek S ; Mallinger K
Publisher: MDPI Country of Publication: Switzerland NLM ID: 101243874 Publication Model: Electronic Cited Medium: Internet ISSN: 1099-4300 (Electronic) Linking ISSN: 10994300 NLM ISO Abbreviation: Entropy (Basel) Subsets: PubMed not MEDLINE

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102

Multi-class classification based on quantum state discrimination
Giuntini R. ; Granda Arango A. C. ; Freytes H. ; et al.
SEDICI (UNLP)
Universidad Nacional de La Plata
instacron:UNLP
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas

Quantum Computation Artificial intelligence Class (philosophy) PRETTY GOOD MEASUREMENTS MULTICLASS CLASSIFICATIO... Construct (python librar... …
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103

ElectroPredictor: An Application to Predict Mayr’s Electrophilicity E through Implementation of an Ensemble Model Based on Machine Learning Algorithms
Sebastián A. Cuesta (12048044) ; Martín Moreno (14320401) ; Romina A. López (14320404) ; et al.

Biophysics Genetics Science Policy Plant Biology Biological Sciences not... Chemical Sciences not el... …
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104

Δ-Quantum machine learning for medicinal chemistry
Kenneth Atz ; Clemens Isert ; Markus N. A. Böcker ; et al.
Phys Chem Chem Phys

Machine Learning Chemistry Chemistry, Pharmaceutica... Quantum Theory Neural Networks, Compute... 02 engineering and techn... …
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105

PYSED: A tool for extracting kinetic-energy-weighted phonon dispersion and lifetime from molecular dynamics simulations.
Liang, Ting ; Jiang, Wenwu ; Xu, Ke ; et al.
Journal of Applied Physics. 8/21/2025, Vol. 138 Issue 7, p1-15. 15p.

KINETIC energy MACHINE learning ENERGY density CARBON nanotubes MOLYBDENUM disulfide
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106

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107

Development and Validation of a Scale for Measuring Motivations to Use Facebook: Results of Second-Order Confirmatory Factor Analysis
Qaisar Khalid Mahmood ; Muhammad Akram ; Muhammad Siddique Akbar ; et al.
Human Behavior and Emerging Technologies, Vol 2023 (2023)

Information Systems and... Sociology and Political... Scale (ratio) Psychometrics Developmental psychology Economics …
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108

TensorKrowch: Smooth integration of tensor networks in machine learning
Monturiol, José Ramón Pareja ; Pérez-García, David ; Pozas-Kerstjens, Alejandro
Quantum 8, 1364 (2024)

Computer Science - Machi... Condensed Matter - Stati... Condensed Matter - Stron... Quantum Physics
Report
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109

QFlow lite dataset: A machine-learning approach to the charge states in quantum dot experiments
Zwolak, Justyna P. ; Kalantre, Sandesh S. ; Wu, Xingyao ; et al.
PLOS ONE 13(10): e0205844 (2018)

Quantum Physics
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110

Machine learning-assisted wide-gamut fluorescence visual test paper for propazine determination in fish and seawater samples
Liu, Hua ; You, Jinjie ; Liu, Chenxi ; et al.
In Sensors and Actuators: B. Chemical 15 August 2024 413

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111

Ensembles of quantum classifiers
Tolotti, Emiliano ; Zardini, Enrico ; Blanzieri, Enrico ; et al.
Quantum Information & Computation. 24:181-209

quantum computing, quant... FOS: Computer and inform... Quantum Physics 03 medical and health sc... 0302 clinical medicine Emerging Technologies (c... …
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112

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

Computer Science - Compu... Computer Science - Crypt... Computer Science - Emerg... Computer Science - Machi...
Report
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113

PyMerger: Detecting Binary Black Hole merger from Einstein Telescope Using Deep Learning
Alhassan, Wathela ; Bulik, T. ; Suchenek, M.

Instrumentation and Meth... General Relativity and Q...
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114

QuEst: Graph Transformer for Quantum Circuit Reliability Estimation
Wang, Hanrui ; Liu, Pengyu ; Cheng, Jinglei ; et al.

Quantum Physics Computer Science - Artif... Computer Science - Hardw... Computer Science - Emerg... Computer Science - Machi...
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115

Adiabatic quantum linear regression.
Date, Prasanna ; Potok, Thomas
Scientific Reports; 11/9/2021, Vol. 11 Issue 1, p1-10, 10p

INTEL Corp. QUANTUM computing PROBLEM solving QUANTUM computers COMPUTER performance MACHINE learning …
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116

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118

Overcoming Barriers in Computational Catalysis through High-throughput Quantum Simulations and Machine Learning Techniques
Guo, Jiawei

Chemical engineering Density Functional Theor... Heterogeneous Catalysis Machine Learning Potenti... Metal/Electrolyte Interf... Zeolites
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119

Differentiable Quantum Programming with Unbounded Loops
Fang, Wang ; Ying, Mingsheng ; Wu, Xiaodi

Quantum Physics Computer Science - Machi... Computer Science - Progr...
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120

QML Essentials -- A framework for working with Quantum Fourier Models
Strobl, Melvin ; Franz, Maja ; Kuehn, Eileen ; et al.
Proceedings of the 2025 IEEE International Conference on Quantum Software (QSW)

Quantum Physics
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