Search Results - Quantum Autoencoder*

Quantum-Classical Autoencoder Architectures for End-to-End Radio Communication

Authors: Zsolt I. Tabi Bence Bakó Dániel T. R. Nagy et al.

Contributors: Zsolt I. Tabi Bence Bakó Dániel T. R. Nagy et al.

Source: IEEE Access, Vol 13, Pp 82181-82192 (2025)

Subject Terms: Quantum circuit, Quantum Physics, 9. Industry and infrastructure, Radio communication, Adaptation models, FOS: Physical sciences, Quantum autoencoder, Autoencoders, Receivers, Symbols, TK1-9971, Physical sciences, radio communication, Encoding, Machine learning, Computer architecture, Electrical engineering. Electronics. Nuclear engineering, Quantum Physics (quant-ph), quantum autoencoder, Neural networks, Quantum machine learning

File Description: application/pdf

Access URL: http://arxiv.org/abs/2405.18105
https://doaj.org/article/9ea1a04e0c2147e49ab3c314e82c0240
http://hdl.handle.net/10138/596697

Quantum Variational Autoencoder Based on Weak Measurements With Fuzzy Filtering of Input Data

Authors: Vyacheslav Korolyov Maksim Ogurtsov Oleksandr Khodsinskyi

Source: Кібернетика та комп'ютерні технології, Iss 1, Pp 106-117 (2025)

Subject Terms: neural network, weak measurements, Q300-390, variational autoencoder, fuzzy logic, Cybernetics, quantum computing

Access URL: https://doaj.org/article/e2bcdf8f56e649f69cdfca4e6ca97466

Quantum autoencoder implementation of high-dimensional steganographic encoding for arbitrary quantum states

Authors: Chaolong Hao Quangong Ma Yaqi Chen et al.

Source: Journal of King Saud University: Computer and Information Sciences, Vol 37, Iss 8, Pp 1-20 (2025)

Subject Terms: Quantum information hiding, Arbitrary states, High-dimensional entangled state, Quantum autoencoder, Orthogonal projection splitting structure, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://doaj.org/toc/1319-1578; https://doaj.org/toc/2213-1248

Access URL: https://doaj.org/article/7b0056ab058648e4bde431344a3d462c

Optimizing Multi-dimensional Feature Fusion and Anomaly Detection of Ground Faults in Power Distribution Networks Using Quantum Variational Autoencoders

Authors: Zhihai Yan Zaixin Yang Jiali Liu et al.

Source: RE&PQJ. 23:40-51

Fusion-aware quantum variational autoencoder for brain-heart signal modeling in mental health applications

Authors: Ayesha Jabbar Huang Jianjun Muhammad Kashif Jabbar et al.

Source: Journal of King Saud University: Computer and Information Sciences, Vol 37, Iss 9, Pp 1-21 (2025)

Subject Terms: Quantum computing, Variational autoencoder, Brainwave recognition, Mental health, Internet of things, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://doaj.org/toc/1319-1578; https://doaj.org/toc/2213-1248

Access URL: https://doaj.org/article/f87a6c5e49ce4ca892e29cdce81c4624

A Hybrid Quantum-Classical Autoencoder Framework for End-to-End Communication Systems

Authors: Bolun Zhang Gan Zheng Nguyen Van Huynh

Source: IEEE Wireless Communications Letters. 14:806-810

Subject Terms: Signal Processing (eess.SP), FOS: Computer and information sciences, Quantum Physics, Computer Science - Information Theory, Information Theory (cs.IT), FOS: Electrical engineering, electronic engineering, information engineering, FOS: Physical sciences, Electrical Engineering and Systems Science - Signal Processing, Quantum Physics (quant-ph)

Access URL: http://arxiv.org/abs/2412.20241

Neural Architecture Search Algorithms for Quantum Autoencoders

Authors: Kulshrestha, Ankit Liu, Xiaoyuan Ushijima-Mwesigwa, Hayato et al.

Source: IEEE Transactions on Quantum Engineering. :1-18

Subject Terms: Machine Learning, FOS: Computer and information sciences, Quantum Physics, FOS: Physical sciences, Quantum Physics (quant-ph), Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2509.15451

Applying quantum autoencoders for time series anomaly detection

Authors: Frehner, Robin Stockinger, Kurt

Source: Quantum Machine Intelligence. 7

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Quantum Physics, Computer Science - Artificial Intelligence, Computer Science - Emerging Technologies, FOS: Physical sciences, Quantum autoencoder, Quantum computing, 006: Spezielle Computerverfahren, Machine Learning (cs.LG), Artificial Intelligence (cs.AI), Emerging Technologies (cs.ET), Time series anomaly detection, Quantum Physics (quant-ph), Quantum machine learning

Access URL: http://arxiv.org/abs/2410.04154

Enhancing the performance of variational quantum classifiers with hybrid autoencoders

Authors: Maragkopoulos, G. Mandilara, A. Tsili, A. et al.

Source: Quantum Information Processing. 24

Subject Terms: Quantum Physics, FOS: Physical sciences, Quantum Physics (quant-ph)

Access URL: http://arxiv.org/abs/2409.03350

Quorum: Zero-Training Unsupervised Anomaly Detection using Quantum Autoencoders

Authors: Ludmir, Jason Zev Rebello, Sophia Ruiz, Jacob et al.

Source: 2025 62nd ACM/IEEE Design Automation Conference (DAC). :1-7

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Emerging Technologies (cs.ET), Computer Science - Emerging Technologies, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2504.13113

Quantum autoencoders for image classification

Authors: Asaoka, Hinako Kudo, Kazue

Source: Quantum Machine Intelligence. 7

Subject Terms: FOS: Computer and information sciences, Quantum Physics, Computer Vision and Pattern Recognition (cs.CV), FOS: Physical sciences, Computer Vision and Pattern Recognition, Quantum Physics (quant-ph)

Access URL: http://arxiv.org/abs/2502.15254

Quantum Error Mitigation via Autoencoder Neural Networks

Authors: Xiao-Dao Lin Hsi-Ming Chang Jhih-Shih You et al.

Source: 2025 IEEE International Conference on Quantum Control, Computing and Learning (qCCL). :58-64

Quantum-Enhanced Representation Learning: A Quanvolutional Autoencoder Approach against DDoS Threats

Authors: Pablo Rivas Javier Orduz Tonni Das Jui et al.

Source: Machine Learning and Knowledge Extraction, Vol 6, Iss 2, Pp 944-964 (2024)

Subject Terms: autoencoder, TK7885-7895, 0301 basic medicine, representation learning, Computer engineering. Computer hardware, 0303 health sciences, 03 medical and health sciences, convolutional neural network, quantum computing, dimensionality reduction, quanvolutional autoencoder

Access URL: https://doaj.org/article/2b35662d3fbc43b2ad98d75923c01a86

QEA-FAD: Quantum Enhanced Autoencoders for Anomaly Detection in Finance and Healthcare

Authors: Sourodeep Kundu Deepti Mishra Nachiketa Tarasia et al.

Source: 2025 International Conference on Networks and Cryptology (NETCRYPT). :1280-1285

A Dual Autoencoder Approach Using Trainable Encoding Circuits for Optimizing Quantum Neural Networks

Authors: Rahul Chiranjeevi V Bala Subramanian C Bhavani M et al.

Source: 2025 International Conference on Data Science and Business Systems (ICDSBS). :1-6

Quantum Autoencoder for Enhanced Fraud Detection in Imbalanced Credit Card Dataset

Authors: Chansreynich Huot Sovanmonynuth Heng Tae-Kyung Kim et al.

Source: IEEE Access, Vol 12, Pp 169671-169682 (2024)

Subject Terms: quantum machine learning (QML), imbalanced dataset, credit card fraud detection, Anomaly detection, Electrical engineering. Electronics. Nuclear engineering, quantum autoencoder (QAE), TK1-9971

Access URL: https://doaj.org/article/cc52584f1e7645e89b464d84a5219d9b

Quantum Patch-Based Autoencoder for Anomaly Segmentation

Authors: Madeira, Maria Francisca Poggiali, Alessandro Lorenz, Jeanette Miriam

Source: 2024 IEEE International Conference on Quantum Computing and Engineering (QCE). :259-267

Subject Terms: FOS: Computer and information sciences, Quantum Physics, Computer Science - Machine Learning, FOS: Physical sciences, Quantum Physics (quant-ph), Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2404.17613

Optimal satellite selection using quantum convolutional autoencoder for low-cost GNSS receiver applications

Authors: Nalineekumari Arasavali Mogadala Vinod Kumar Sasibhushana Rao Gottapu et al.

Source: Sci Rep
Scientific Reports, Vol 15, Iss 1, Pp 1-17 (2025)

Subject Terms: Quantum convolutional autoencoder, GNSS, Science, Satellite selection, Combined constellation, Sustainable Development Goal (SDG) 9:Industry, Innovation, and Infrastructure, SDG 11: Sustainable Cities and Communities, Medicine, Article

Access URL: https://pubmed.ncbi.nlm.nih.gov/40082537
https://doaj.org/article/baf00827405b4ae7bdeb1dbfabf77448

Spider Web-Inspired Quantum Circuit for Autoencoder

Authors: Agi Prasetiadi Masahiro Mambo

Source: 2025 International Conference on Quantum Communications, Networking, and Computing (QCNC). :467-474

QOBRA: A Quantum Operator-Based Autoencoder for De Novo Molecular Design

Authors: Yue Yu Francesco Calcagno Haote Li et al.