Description
Plotted data for figure 3 of publication: "Finite steps optimise dissipation in stochastically controlled quantum systems".2 files providing data for the deterministic and stochastic contributions towards with total dissipated work cost, combined as W_{diss} = (1/N)*IsingdataPart1 + N*Phi*IsingdataPart2 - where the meaning of N and Phi should be clear from the equations (9) and (13) of the paper - for different values of inverse temperature (Beta) and chain length (L).
"IsingdataPart1.json"Data for the deterministic part of the dissipated work expression, to be scaled with N.
Dimensions: {1,11,2} corresponding to {n.n. interaction strength J=1, Beta values={0.001,0.005,0.01,0.05,0.1,0.5,1,1.5,2.0,5.0,10.0}, L={2,180}}.
2. "IsingdataPart2.json"
Data for the stochastic part of the dissipated work expression, to be scaled with N * Phi.
Same dimensions to IsingdataPart1.json : {1,11,2} corresponding to {J=1, Beta values={0.001,0.005,0.01,0.05,0.1,0.5,1,1.5,2.0,5.0,10.0}, L={2,180}}.
"IsingdataPart1.json"Data for the deterministic part of the dissipated work expression, to be scaled with N.
Dimensions: {1,11,2} corresponding to {n.n. interaction strength J=1, Beta values={0.001,0.005,0.01,0.05,0.1,0.5,1,1.5,2.0,5.0,10.0}, L={2,180}}.
2. "IsingdataPart2.json"
Data for the stochastic part of the dissipated work expression, to be scaled with N * Phi.
Same dimensions to IsingdataPart1.json : {1,11,2} corresponding to {J=1, Beta values={0.001,0.005,0.01,0.05,0.1,0.5,1,1.5,2.0,5.0,10.0}, L={2,180}}.
| Date made available | 28 Apr 2026 |
|---|---|
| Publisher | University of Manchester Figshare |
Keywords
- quantum
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