Search Results - "Quantum autoencoder"

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

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

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

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

Index Terms: Quantum Physics, Computer Science - Emerging Technologies, text

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

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

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

Source: Quantum Mach Intell

Subject Terms: 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

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

Quantum Autoencoder: An efficient approach to quantum feature map generation

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

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

Access URL: http://arxiv.org/abs/2509.19157

Quantum Autoencoder for Multivariate Time Series Anomaly Detection

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

Subject Terms: 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)

Access URL: http://arxiv.org/abs/2504.17548

Quantum autoencoder for image compression through reducing qubits usage.

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

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

Subject Terms: *IMAGE compression, *SIGNAL denoising, *QUANTUM computing, *QUANTUM information science

MolQAE: Quantum Autoencoder for Molecular Representation Learning

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

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

Access URL: http://arxiv.org/abs/2505.01875

Disentangling quantum autoencoder

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

Source: Quantum Science and Technology. 10:045023

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

Access URL: http://arxiv.org/abs/2502.18580

Efficient Data Loading with Quantum Autoencoder

Authors: Siang-Ruei Wu Chun-Tse Li Hao-Chung Cheng

Source: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :1-5

Unsupervised Beyond-Standard-Model Event Discovery at the LHC with a Novel Quantum Autoencoder

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

Index Terms: Quantum Physics, High Energy Physics - Experiment, High Energy Physics - Phenomenology, text

URL: http://arxiv.org/abs/2407.07961

Anomaly Detection Based on Quantum Autoencoder

Authors: Siqi Li Zikun Zhang Xun Zhu et al.

Source: 2025 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC). :1-1

Quantum Autoencoder Frameworks for Network Anomaly Detection

Authors: Moe Hdaib Sutharshan Rajasegarar Lei Pan

Source: Lecture Notes in Computer Science ISBN: 9789819980727

Achieving High-Efficiency Error-Correcting Transmission of Qutrits with On-Chip Quantum Autoencoder

Authors: Denghui Wang Haoran Ma Donghui Chen et al.

Source: Optical Fiber Communication Conference (OFC) 2025. :Th2A.56

Optimized Quantum Autoencoder

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

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

Access URL: http://arxiv.org/abs/2404.08429

Quantum Autoencoder-Driven Hamiltonian Reduction for VQE Applications

Authors: Ankit Khandelwal Nirmal M R M Girish Chandra

Source: Optica Quantum 2.0 Conference and Exhibition. :QTu3A.22

Resource-efficient high-dimensional subspace teleportation with a quantum autoencoder

Authors: Hui Zhang Lingxiao Wan Tobias Haug et al.

Contributors: Hui Zhang Lingxiao Wan Tobias Haug et al.

Source: Sci Adv
Zhang, H, Wan, L, Haug, T, Mok, W-K, Paesani, S, Shi, Y, Cai, H, Chin, L K, Karim, M F, Xiao, L, Luo, X, Gao, F, Dong, B, Assad, S, Kim, M S, Laing, A, Kwek, L C & Liu, A Q 2022, ' Resource-efficient high-dimensional subspace teleportation with a quantum autoencoder ', Science Advances, vol. 8, no. 40, 9783 . https://doi.org/10.1126/sciadv.abn9783

Subject Terms: STATES, 0103 physical sciences, Physical and Materials Sciences, NEURAL-NETWORKS, ENTANGLEMENT, 01 natural sciences, GENERATION

File Description: application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/36206336
http://hdl.handle.net/10044/1/100652
https://curis.ku.dk/ws/files/327937365/sciadv.abn9783.pdf

Resource-efficient high-dimensional subspace teleportation with a quantum autoencoder

Authors: Zhang, Hui Wan, Lingxiao Haug, Tobias et al.

Source: Zhang , H , Wan , L , Haug , T , Mok , W-K , Paesani , S , Shi , Y , Cai , H , Chin , L K , Karim , M F , Xiao , L , Luo , X , Gao , F , Dong , B , Assad , S , Kim , M S , Laing , A , Kwek , L C & Liu , A Q 2022 , ' Resource-efficient high-dimensional subspace teleportation with a quantum autoencoder ' , Science Advances , vol. 8 , no. 40 , 9783 .

Index Terms: NEURAL-NETWORKS, ENTANGLEMENT, GENERATION, STATES, article

URL: https://researchprofiles.ku.dk/da/publications/resourceefficient-highdimensional-subspace-teleportation-with-a-quantum-autoencoder(6b4d6307-b8c5-4144-b943-24aeeb2b1709).html
https://doi.org/10.1126/sciadv.abn9783
https://curis.ku.dk/ws/files/327937365/sciadv.abn9783.pdf

Modeling Quantum Autoencoder Trainable Kernel for IoT Anomaly Detection

Authors: Chandrasekhar, Swathi Pokhrel, Shiva Raj Kumari, Swati et al.

Subject Terms: Machine Learning, Quantum Physics

Relation: http://arxiv.org/abs/2511.21932

Availability: http://arxiv.org/abs/2511.21932

Hybrid classical-quantum autoencoder for anomaly detection

Authors: Alona Sakhnenko Corey O’Meara Kumar J. B. Ghosh et al.

Source: Quantum Machine Intelligence. 4

Subject Terms: Quantum Physics, 0103 physical sciences, FOS: Physical sciences, Quantum Physics (quant-ph), 01 natural sciences

Access URL: http://arxiv.org/abs/2112.08869