arXiv cs.AI
· Papers
QFoldAgent: An Autonomous Quantum Optimization Multi-Agent System for Protein Structure Prediction
arXiv:2607.22549v1 Announce Type: new Abstract: Hybrid quantum-classical protein structure prediction depends strongly on Hamiltonian penalty weights, yet existing lattice-based workflows typically fix these coefficients by hand and evaluate only very short fragments in simulation. We present QFoldAgent, a closed-loop