Quantum-Classical Neural Networks for Solving Lindblad Master Equations
This work proposes a variational framework for solving Lindblad master equations by minimizing a residual cost function using a compositional ansatz obtained by combining a classical neural network with a parameterized quantum circuit, and demonstrates a theoretical connection between expressivity, covering numbers, ef...