A Review of Ising Machines Implemented in Conventional and Emerging Technologies

T Zhang, Q Tao, B Liu, A Grimaldi… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Ising machines have received growing interest as efficient and hardware-friendly solvers for
combinatorial optimization problems (COPs). They search for the absolute or approximate …

Qfnn-ffd: Quantum federated neural network for financial fraud detection

N Innan, A Marchisio, M Bennai, M Shafique - arxiv preprint arxiv …, 2024 - arxiv.org
This study introduces the Quantum Federated Neural Network for Financial Fraud Detection
(QFNN-FFD), a cutting-edge framework merging Quantum Machine Learning (QML) and …

Towards transfer learning for large-scale image classification using annealing-based quantum boltzmann machines

D Schuman, L Sünkel, P Altmann… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
Quantum Transfer Learning (QTL) recently gained popularity as a hybrid quantum-classical
approach for image classification tasks by efficiently combining the feature extraction …

[HTML][HTML] Quantum Computing in Community Detection for Anti-Fraud Applications

Y Wang, X Yang, C Ju, Y Zhang, J Zhang, Q Xu… - Entropy, 2024 - mdpi.com
Fraud detection within transaction data is crucial for maintaining financial security, especially
in the era of big data. This paper introduces a novel fraud detection method that utilizes …

Quantum-Assisted Machine Learning Framework: Training and Evaluation of Boltzmann Machines Using Quantum Annealers

JP Pinilla, SJE Wilton - 2024 IEEE International Conference on …, 2024 - ieeexplore.ieee.org
This paper describes the components and configurations available in a new quantum-
assisted machine learning (QAML) framework. QAML is an open source package that …

Context-aware minor-embedding for quantum annealing processors

JP Pinilla Gomez - 2024 - open.library.ubc.ca
Abstract A Quantum Annealing Processor (QAP) is a specialized quantum computing device
that can solve optimization problems that are hard to solve using classical systems. To use a …