# Variational Quantum Circuit

Variational quantum algorithms normally rely on a classical optimizer to tune gate angles, and every loss evaluation is a run of the quantum device. A study has the frontier model GPT-6 Astra write the angles directly from the problem, circuit and gate conventions, with no loss or gradient returned; on transverse-field Ising chains, H2 and depth-one QAOA its angles match the optimizer, and as a warm start they cut the median optimizer evaluations to best value down to one.

Variational quantum algorithms normally rely on a classical optimizer to tune gate angles, and every loss evaluation is a run of the quantum device. A study has the frontier model GPT-6 Astra write the angles directly from the problem, circuit and gate conventions, with no loss or gradient returned; on transverse-field Ising chains, H2 and depth-one QAOA its angles match the optimizer, and as a warm start they cut the median optimizer evaluations to best value down to one.