Generative Quantum Eigensolver (GQE): A Quantum Advantage
Quantum computing can solve problems beyond the capabilities of classical computers, with GenQAI
Future Potential: Plans to adapt GQE for more complex molecules and explore real-world use cases, unlocking new possibilities in quantum chemistry
GQE successfully identified the ground state energy of H₂ with chemical precision, marking a breakthrough in computational chemistry
GQE uses QPUs to run quantum circuits, measure energy states, train a transformer model, and iteratively refine circuits to find low-energy states
GenQAI can be applied to materials discovery, combinatorial optimization, and drug development by leveraging quantum-generated data and AI learning
Combines quantum technology's unique capabilities with AI's adaptability to create a feedback loop for generating and learning from new data
GQE estimates the ground-state energy of molecular Hamiltonians using quantum circuits and classical generative models
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