Variational quantum-neural hybrid imaginary time evolution
The VQNHITE method combines Variational Imaginary Time Evolution (VITE) with a neural network to improve accuracy. It uses a neural network to create a non-unitary operator, which enhances the expressive power of the simulation compared to standard VITE. The method stabilizes the evolution by optimizing parameters at small time steps, resulting in consistently higher fidelity with exact imaginary-time states.