Results 11 to 20 of about 3,905,200 (321)

Guided quantum compression for high dimensional data classification [PDF]

Machine Learning: Science and Technology
Quantum machine learning provides a fundamentally different approach to analyzing data. However, many interesting datasets are too complex for currently available quantum computers.
Vasilis Belis, Patrick Odagiu, Michele Grossi, Florentin Reiter, Günther Dissertori, Sofia Vallecorsa   +5 more
doaj   +2 more sources

Accurate Image Multi-Class Classification Neural Network Model with Quantum Entanglement Approach

Sensors, 2023
Quantum machine learning (QML) has attracted significant research attention over the last decade. Multiple models have been developed to demonstrate the practical applications of the quantum properties.
Farina Riaz, Shahab Abdulla, Hajime Suzuki, Srinjoy Ganguly, Ravinesh C. Deo, Susan Hopkins   +5 more
doaj   +2 more sources

Variational quantum enhanced deep transfer learning for small underwater aqua species image classification [PDF]

Scientific Reports
Precise underwater classification of small aquaculture species is essential for sustainable fisheries management, biodiversity monitoring, and automated marine ecosystem analysis.
Sugunapriya A, Markkandan S
doaj   +2 more sources

H-QNN: A Hybrid Quantum–Classical Neural Network for Improved Binary Image Classification

AI
Image classification is an important application for deep learning. With the advent of quantum technology, quantum neural networks (QNNs) have become the focus of research.
Muhammad Asfand Hafeez, Arslan Munir, Hayat Ullah   +2 more
doaj   +2 more sources

Incremental Data-Uploading for Full-Quantum Classification [PDF]

International Conference on Quantum Computing and Engineering, 2022
The data representation in a machine-learning model strongly influences its performance. This becomes even more important for quantum machine learning models implemented on noisy intermediate scale quantum (NISQ) devices.
Maniraman Periyasamy, Nico Meyer, Christian Ufrecht, D. D. Scherer, A. Plinge, Christopher Mutschler   +5 more
semanticscholar   +1 more source

Quantum measurement classification with qudits [PDF]

Quantum Information Processing, 2021
15 pages, 10 ...
Diego H. Useche, Andres Giraldo-Carvajal, Hernan M. Zuluaga-Bucheli, Jose A. Jaramillo-Villegas, Fabio A. González   +4 more
openaire   +3 more sources

Classification with Quantum Measurements [PDF]

Journal of the Physical Society of Japan, 2021
This paper reports a novel method for supervised machine learning based on the mathematical formalism that supports quantum mechanics.
Fabio A. González, Vladimir Vargas-Calderón, Herbert Vinck-Posada   +2 more
openaire   +1 more source

Quantum Machine Learning: A Review and Case Studies

Entropy, 2023
Despite its undeniable success, classical machine learning remains a resource-intensive process. Practical computational efforts for training state-of-the-art models can now only be handled by high speed computer hardware.
Amine Zeguendry, Zahi Jarir, Mohamed Quafafou   +2 more
doaj   +1 more source

Classification of Quantum Cellular Automata [PDF]

Communications in Mathematical Physics, 2020
53 pages, 15 figures; v2: minor corrections, final version in press; v3: minor typo ...
Freedman, Michael, Hastings, Matthew B.
openaire   +3 more sources

A Grover-search based quantum learning scheme for classification

New Journal of Physics, 2021
The hybrid quantum–classical learning scheme provides a prominent way to achieve quantum advantages on near-term quantum devices. A concrete example toward this goal is the quantum neural network (QNN), which has been developed to accomplish various ...
Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Dacheng Tao   +3 more
doaj   +1 more source