Results 111 to 120 of about 2,977,466 (210)

Deep learning for classifying quantum emission signals in WS2 monolayers using wavelet transform

Scientific Reports
This study aimed to develop and evaluate deep learning approaches for the classification of quantum emission signals from WS2 monolayer nanobubbles across multiple spectral bands, addressing challenges in quantum materials characterization and spectral ...
Hossein Najafzadeh, Zahra Raissi, Shole Golmohammady, Parivash Safari Kaji, Mahdad Esmaeili   +4 more
doaj   +1 more source

Hybrid Quantum–Classical Framework for Urban Traffic State Classification

IEEE Access
This paper presents a hybrid quantum–classical approach for multiclass traffic state classification using a benchmark urban mobility dataset collected in Daejeon, South Korea.
Hongsuk Yi
doaj   +1 more source

Quantum-Enhanced Transformers for Robust Acoustic Scene Classification in IoT Environments

Quantum-Enhanced Transformers for Robust Acoustic Scene Classification in IoT ...
Kien Minh Quan (14697694), Pubudu Pathirana (13089972), Mayuri Wijayasundara (15790100), Sujeeva Setunge (12897509)   +3 more
core  

Non-Adiabatic Holonomic Quantum Computation

, 2012
We develop a non-adiabatic generalization of holonomic quantum computation in which high-speed universal quantum gates can be realized using non-Abelian geometric phases.
Hessmo, Björn, Tong, Dianmin, Sjöqvist, Erik, Johansson, Markus, Singh, Kuldip, Sjöqvist, Erik,, Andersson, Mauritz, Tong, D. M., Mauritz Andersson, L., Singh, Kuldip,, Johansson, M., Tong, D.M., Hessmo, B., Johansson, Markus,, Tong, Dianmin,, Singh, K., Hessmo, Björn,, Andersson, L. Mauritz,, Sjöqvist, E., Andersson, Mauritz,   +19 more
core   +1 more source

Quantum-Neural Network Model for Platform Independent Ddos Attack Classification in Cyber Security

Quantum Machine Learning (QML) leverages the transformative power of quantum computing to explore a broad range of applications, including optimization, data analysis, and complex problem-solving.
Bayılmış, Cüneyt, Atban, Furkan, Fakülteler, Teknoloji Fakültesi, Bilgisayar Mühendisliği Bölümü, Küçükkara, Muhammed Yusuf, 0000-0002-1712-5155   +4 more
core   +1 more source

Boosting Classification with Quantum-Inspired Augmentations

CoRR
Understanding the impact of small quantum gate perturbations, which are common in quantum digital devices but absent in classical computers, is crucial for identifying potential advantages in quantum machine learning. While these perturbations are typically seen as detrimental to quantum computation, they can actually enhance performance by serving as ...
Matthias Tschöpe, Vítor Fortes Rey, Sogo Pierre Sanon, Paul Lukowicz, Nikolaos Palaiodimopoulos, Maximilian Kiefer-Emmanouilidis   +5 more
openaire   +2 more sources

DEVELOPMENT OF HYBRID QUANTUM-CLASSICAL MODELS FOR COMPUTER VISION

Journal of Problems in Computer Science and Information Technologies
This research explores the integration of quantum computing with classical machine learning to enhance data classification tasks using Quantum Neural Networks (QNN) and Parameterized Quantum Circuits (PQC).
Aksultan Mukhanbet, Nurtugan Azatbekuly, Beimbet Daribayev   +2 more
doaj   +1 more source

A quantum GAN for entanglement detection and image classification

Click on the DOI link to access this article at the publishers website (may not be free).We build on our prior quantum machine learning work to design and train a quantum GAN. We first demonstrate that it is a truly quantum network by showing that it can
Steck, James E., Thompson, Nathan L., Behrman, Elizabeth C.   +2 more
core   +1 more source

An enhanced approach for predicting air pollution using quantum support vector machine

Scientific Reports
The essence of quantum machine learning is to optimize problem-solving by executing machine learning algorithms on quantum computers and exploiting potent laws such as superposition and entanglement.
Omer Farooq, Maida Shahid, Shazia Arshad, Ayesha Altaf, Faiza Iqbal, Yini Airet Miro Vera, Miguel Angel Lopez Flores, Imran Ashraf   +7 more
doaj   +1 more source

Parameterized quantum circuit for binary and multi classification

Array
Machine learning models achieve strong predictive performance by uncovering hidden patterns and structures within data. Quantum Machine Learning (QML) extends this capability by leveraging principles of quantum mechanics to address complex classification
S. Megala, P. Ragukumar, Neelu Khare
doaj   +1 more source