mirror of
https://github.com/vale981/HOPSFlow-Paper
synced 2025-03-06 18:21:39 -05:00
67 lines
1.8 KiB
Python
67 lines
1.8 KiB
Python
import figsaver as fs
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import plot_utils as pu
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from hiro_models.one_qubit_model import StocProcTolerances
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from hiro_models.otto_cycle import OttoEngine
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import hiro_models.model_auxiliary as aux
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import numpy as np
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import qutip as qt
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import utilities as ut
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import stocproc
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import matplotlib.pyplot as plt
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import otto_utilities as ot
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import ray
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ray.shutdown()
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ray.init(address='auto')
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#ray.init()
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from hops.util.logging_setup import logging_setup
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import logging
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logging_setup(logging.INFO)
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plt.rcParams['figure.figsize'] = (12,4)
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model = OttoEngine(
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δ=[0.4, 0.4],
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ω_c=[1, 1],
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ψ_0=qt.basis([2], [1]),
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description=f"A basic near-markovian, weakly coupled Otto Cycle that actually works.",
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k_max=4,
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bcf_terms=[6] * 2,
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truncation_scheme="simplex",
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driving_process_tolerances=[StocProcTolerances(1e-4, 1e-4)] * 2,
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thermal_process_tolerances=[StocProcTolerances(1e-4, 1e-4)] * 2,
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T=[1, 10],
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therm_methods=["tanhsinh", "fft"],
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Δ=1,
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num_cycles=5,
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Θ=1.5 / 0.05,
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dt=0.001,
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timings_H=(0, 0.1, 0.5, 0.6),
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timings_L=((0.6, 0.7, 0.9, 1), (0.1, 0.2, 0.4, 0.5)),
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streaming_mode=True,
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)
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# model = OttoEngine(
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# δ=[0.4, 0.4],
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# ω_c=[1, 1],
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# ψ_0=qt.basis([2], [1]),
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# description=f"An otto cycle on the way to finding the baseline.",
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# k_max=3,
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# bcf_terms=[4] * 2,
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# truncation_scheme="simplex",
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# driving_process_tolerances=[StocProcTolerances(1e-3, 1e-3)] * 2,
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# thermal_process_tolerances=[StocProcTolerances(1e-3, 1e-3)] * 2,
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# T=[1, 10],
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# therm_methods=["tanhsinh", "fft"],
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# Δ=1,
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# num_cycles=4,
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# Θ=1.5 / 0.05,
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# dt=0.001,
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# timings_H=(0, 0.1, 0.3, 0.4),
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# timings_L=((0.4, 0.5, 0.9, 1), (0.1, 0.11, 0.29, 0.3)),
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# streaming_mode=True,
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# )
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ot.plot_cycle(model)
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ot.plot_sd_overview(model)
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