IEEE Quantum Week features exhibits, tutorials, workshops, technical papers, posters, panels, and Birds-of-Feather (boF) sessions on the following topics including but not limited to:
Quantum Machine Learning (QML) — Quantum algorithms for machine learning tasks, AI-assisted quantum information science, quantum-enhanced machine learning, quantum-inspired models and machine learning, quantum Boltzmann, machines, quantum neural networks (QNNs), quantum support vector machines (QSVMs), quantum generative adversarial networks (QGANs), quantum clustering and classification, quantum state tomography, QML software and libraries, QML benchmarks
Quantum Generative AI — Synergy of quantum computing and generative AI, generative AI for quantum computing and technologies, quantum computing for generative AI, new use cases for quantum generative AI, drug discovery, quantum data generation for generative AI, intelligent resource allocation, quantum neural networks (QNNs), quantum Boltzmann machines (QBMs), and quantum natural gradient descent