A hybrid quantum-classical neural network, trained on classical PIC data, can serve as a surrogate Poisson solver in a 1D two-stream instability simulation with accuracy close to a classical neural network.
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A Hybrid Quantum-Classical Particle-in-Cell Method for Plasma Simulations
A hybrid quantum-classical neural network, trained on classical PIC data, can serve as a surrogate Poisson solver in a 1D two-stream instability simulation with accuracy close to a classical neural network.