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Work as a function of protocol duration for the efficient erasure of an underdamped memory: isothermal to adiabatic transition
We use evolutionary reinforcement learning to determine efficient time-dependent erasure protocols for an underdamped cantilever moving in a double-well potential, an experimental realization of a 1-bit memory. We investigate how the mean work $\langle W \rangle $ needed to erase a bit scales as a f
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