Quantum Machine Learning
88 papers with code • 2 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Quantum Machine Learning
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Libraries
Use these libraries to find Quantum Machine Learning models and implementations
iris
Latest papers with no code
A Modified Depolarization Approach for Efficient Quantum Machine Learning
The depolarization channel is a standard tool for simulating a quantum system's noise.
Quantum Circuit $C^*$-algebra Net
This interaction enables the circuits to share information among them, which contributes to improved generalization performance in machine learning tasks.
Efficient Quantum Circuits for Machine Learning Activation Functions including Constant T-depth ReLU
In recent years, Quantum Machine Learning (QML) has increasingly captured the interest of researchers.
QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection
This study introduces the Quantum Federated Neural Network for Financial Fraud Detection (QFNN-FFD), a cutting-edge framework merging Quantum Machine Learning (QML) and quantum computing with Federated Learning (FL) to innovate financial fraud detection.
Optimizing Quantum Convolutional Neural Network Architectures for Arbitrary Data Dimension
Quantum convolutional neural networks (QCNNs) represent a promising approach in quantum machine learning, paving new directions for both quantum and classical data analysis.
Quantum Algorithms: A New Frontier in Financial Crime Prevention
Financial crimes fast proliferation and sophistication require novel approaches that provide robust and effective solutions.
Image Classification with Rotation-Invariant Variational Quantum Circuits
Variational quantum algorithms are gaining attention as an early application of Noisy Intermediate-Scale Quantum (NISQ) devices.
FedQNN: Federated Learning using Quantum Neural Networks
In this study, we explore the innovative domain of Quantum Federated Learning (QFL) as a framework for training Quantum Machine Learning (QML) models via distributed networks.
Empowering Credit Scoring Systems with Quantum-Enhanced Machine Learning
Quantum Kernels are projected to provide early-stage usefulness for quantum machine learning.
Jet Discrimination with Quantum Complete Graph Neural Network
Machine learning, particularly deep neural networks, has been widely utilized in high energy physics and has shown remarkable results in various applications.
