ADAPT-VQE

ADAPT-GQE: Generative AI framework learns to synthesize quantum chemistry circuits, demonstrated on real hardware

Researchers introduce ADAPT-GQE, a generative AI pipeline that trains transformer models on ADAPT-VQE reference circuits to synthesize ground-state preparation circuits for quantum chemistry, then uses reinforcement learning to push accuracy beyond the training data. The approach achieves order-of-magnitude speedups in circuit generation relative to ADAPT-VQE while maintaining comparable or improved accuracy. The system is demonstrated on imipramine (a tricyclic antidepressant) and executed on Quantinuum Helios-1 quantum hardware, marking a milestone for AI-generated quantum chemistry circuits on state-of-the-art hardware.