Suchergebnisse - Quantum Autoencoder~

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

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

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

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

Schlagwörter: 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

Dateibeschreibung: application/pdf

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

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

Autoren: Chaolong Hao Quangong Ma Yaqi Chen et al.

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

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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/7b0056ab058648e4bde431344a3d462c

Applying quantum autoencoders for time series anomaly detection

Autoren: Frehner, Robin Stockinger, Kurt

Quelle: Quantum Machine Intelligence. 7

Schlagwörter: 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

Zugangs-URL: http://arxiv.org/abs/2410.04154

Quantum Autoencoder for Enhanced Fraud Detection in Imbalanced Credit Card Dataset

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

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

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

Zugangs-URL: https://doaj.org/article/cc52584f1e7645e89b464d84a5219d9b

Quantum Patch-Based Autoencoder for Anomaly Segmentation

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

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

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

Zugangs-URL: http://arxiv.org/abs/2404.17613

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

Autoren: Yue Yu Francesco Calcagno Haote Li et al.

Unsupervised beyond-standard-model event discovery at the LHC with a novel quantum autoencoder

Autoren: Duffy, Callum Hassanshah, Mohammad Jastrzebski, Marcin et al.

Quelle: Quantum Mach Intell

Schlagwörter: Quantum Physics, High Energy Physics - Phenomenology, High Energy Physics - Experiment (hep-ex), High Energy Physics - Phenomenology (hep-ph), Research, FOS: Physical sciences, Quantum Physics (quant-ph), High Energy Physics - Experiment

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/40098753
http://arxiv.org/abs/2407.07961

Quantum Generative Adversarial Autoencoders: Learning latent representations for quantum data generation

Autoren: Raj, Naipunnya Sangle, Rajiv Singh, Avinash et al.

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

Zugangs-URL: http://arxiv.org/abs/2509.16186

Quantum Autoencoder: An efficient approach to quantum feature map generation

Autoren: Zhuang, Shengxin Wu, Yusen Cadet, Xavier F. et al.

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

Zugangs-URL: http://arxiv.org/abs/2509.19157

MolQAE: Quantum Autoencoder for Molecular Representation Learning

Autoren: Pan, Yi Jiang, Hanqi Ruan, Wei et al.

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

Zugangs-URL: http://arxiv.org/abs/2505.01875

Quantum autoencoder for image compression through reducing qubits usage.

Autoren: Wei, Yuxing Li, Hai-sheng Hu, Cong

Quelle: International Journal of Quantum Information. Nov2025, p1. 18p.

Schlagwörter: *IMAGE compression, *SIGNAL denoising, *QUANTUM computing, *QUANTUM information science

PALQA: A Novel Parameterized Position-Aware Lossy Quantum Autoencoder using LSB Control Qubit for Efficient Image Compression

Autoren: Haque, Ershadul Paul, Manoranjan Tohidi, Faranak et al.

Schlagwörter: FOS: Computer and information sciences, Quantum Physics, Emerging Technologies (cs.ET), Computer Science - Emerging Technologies, FOS: Physical sciences, Quantum Physics (quant-ph)

Zugangs-URL: http://arxiv.org/abs/2502.02188

Quantum Autoencoder for Multivariate Time Series Anomaly Detection

Autoren: Tscharke, Kilian Wendlinger, Maximilian Ahouzi, Afrae et al.

Schlagwörter: FOS: Computer and information sciences, Quantum Physics, Computer Science - Machine Learning, Computer Science - Cryptography and Security, FOS: Physical sciences, Quantum Physics (quant-ph), Cryptography and Security (cs.CR), Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2504.17548

Disentangling quantum autoencoder

Autoren: Adithya Sireesh Abdulla Alhajri M S Kim et al.

Quelle: Quantum Science and Technology. 10:045023

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

Zugangs-URL: http://arxiv.org/abs/2502.18580

Error mitigation in brainbox quantum autoencoders

Autoren: Pazem, Joséphine Ansari, Mohammad H.

Quelle: Sci Rep
Scientific Reports, Vol 15, Iss 1, Pp 1-12 (2025)
Scientific reports 15(1), 2257 (2025). doi:10.1038/s41598-024-84171-z

Schlagwörter: Science, Medicine, Article

Zugangs-URL: https://doaj.org/article/5153b2205c1a4d1d9e4469028306cc18
https://juser.fz-juelich.de/record/1037615
https://publications.rwth-aachen.de/record/1006203

Error mitigation of entangled states using brainbox quantum autoencoders

Autoren: Ansari, Mohammad Pazem, Josephine

Schlagwörter: Machine Learning, FOS: Computer and information sciences, Quantum Physics, 0103 physical sciences, FOS: Physical sciences, Quantum Physics (quant-ph), 01 natural sciences, Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2303.01134
https://juser.fz-juelich.de/record/1034121

Rigorous noise reduction with quantum autoencoders

Autoren: Wai-Keong Mok Hui Zhang Tobias Haug et al.

Quelle: AVS Quantum Science. 6

Schlagwörter: Quantum Physics, 0103 physical sciences, FOS: Physical sciences, Quantum Physics (quant-ph), 7. Clean energy, 01 natural sciences

Zugangs-URL: http://arxiv.org/abs/2308.16153

Quantum circuit autoencoder

Autoren: Jun Wu Hao Fu Mingzheng Zhu et al.

Quelle: Physical Review A. 109

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

Zugangs-URL: http://arxiv.org/abs/2307.08446

Quantum deep learning-enhanced ethereum blockchain for cloud security: intrusion detection, fraud prevention, and secure data migration

Autoren: A. Venkata Nagarjun Sujatha Rajkumar

Quelle: Scientific Reports, Vol 15, Iss 1, Pp 1-21 (2025)

Schlagwörter: Adaptive intrusion detection, Cloud data transfer, Deep learning, Ethereum blockchain security, Quantum autoencoder, Smart contracts, Medicine, Science

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2045-2322

Zugangs-URL: https://doaj.org/article/570602e855614174a59840310442ee7c

Optimized Quantum Autoencoder

Autoren: Huang, Yibin Yang, Muchun Zhou, D. L.

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

Zugangs-URL: http://arxiv.org/abs/2404.08429