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Found 4 papers, 2 papers with code
Multi-GPU-Enabled Hybrid Quantum-Classical Workflow in Quantum-HPC Middleware: Applications in Quantum Simulations
Achieving high-performance computation on quantum systems presents a formidable challenge that necessitates bridging the capabilities between quantum hardware and classical computing resources.
Quantum-Enhanced Support Vector Machine for Large-Scale Stellar Classification with GPU Acceleration
In this study, we introduce an innovative Quantum-enhanced Support Vector Machine (QSVM) approach for stellar classification, leveraging the power of quantum computing and GPU acceleration.
Implementation of Trained Factorization Machine Recommendation System on Quantum Annealer
Factorization Machine (FM) is the most commonly used model to build a recommendation system since it can incorporate side information to improve performance.
Random Sampling Neural Network for Quantum Many-Body Problems
Our results demonstrate that it is possible to combine the existing numerical methods for the training process and RSNN to explore quantum many-body problems in a much wider parameter regime, even for strongly correlated systems.
Disordered Systems and Neural Networks Strongly Correlated Electrons Quantum Physics
