Split-head QGAN generates more structurally diverse and novel metastable Mg-Mn-O crystals than its classical ablation counterpart but shows lower thermodynamic precision.
Research, ”A Survey of Quantum Generative Adversarial Networks: Architectures, Use Cases, and Real-World Implementations,”arXiv preprint arXiv:2506.18002, 2025
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Survey summarizing performance metrics of fully connected QNNs, quantum CNNs, equivariant QNNs, quantum Hopfield networks, quantum Boltzmann machines, quantum reservoir computing, and composite networks for reinforcement, generative, and transfer learning.
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Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery
Split-head QGAN generates more structurally diverse and novel metastable Mg-Mn-O crystals than its classical ablation counterpart but shows lower thermodynamic precision.
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Research progress on quantum neural networks and quantum machine learning
Survey summarizing performance metrics of fully connected QNNs, quantum CNNs, equivariant QNNs, quantum Hopfield networks, quantum Boltzmann machines, quantum reservoir computing, and composite networks for reinforcement, generative, and transfer learning.