diff --git a/python/energy_flow_proper/10_antizeno_engine/10_first_anti_zeno.py b/python/energy_flow_proper/10_antizeno_engine/10_first_anti_zeno.py index 0a7a75e..6e94542 100644 --- a/python/energy_flow_proper/10_antizeno_engine/10_first_anti_zeno.py +++ b/python/energy_flow_proper/10_antizeno_engine/10_first_anti_zeno.py @@ -15,7 +15,7 @@ import plot_utils as pu import ray ray.shutdown() -ray.init() +ray.init(address="auto") from hops.util.logging_setup import logging_setup import logging @@ -28,7 +28,7 @@ def anti_zeno_engine( ω_0=6, ε=1e-3, ε_couple=1 / 2, - n=6, + n=4, cycle_scale=1, switch_cycles=3, detune=0, @@ -216,14 +216,14 @@ def anti_zeno_engine( ) = anti_zeno_engine( Δ=11, ε=1,#.1, - ω_c=2, + ω_c=1, ε_couple=0.7, - n=12, + n=6, detune=.5, ω_0=20, T_c=1e3, T_h=1e4, - δ=[3.2*.01, 1*.01], + δ=[3.2*.01/4, 1*.01/4], γ=.2, switch_cycles=1, therm_initial_state=False, @@ -232,7 +232,7 @@ def anti_zeno_engine( dt=0.01, sp_tol=1e-3, ) -model.k_max = 3 +model.k_max = 4 # model, params = anti_zeno_engine(ε=1/2, ε_couple=1e-4, n=1, detune=.5, δ=[.1,.1]) fs.tex_value( @@ -289,7 +289,7 @@ vs = np.linspace(0.1, 10, 100) plt.plot(vs, chi(vs, ω_0)) plt.plot(vs, G_h(vs)) -aux.integrate(model, 10000) +aux.integrate(model, 10_000) #_, ax = pu.plot_energy_overview(model, markersize=1, ensemble_args=dict(gc_sleep=0.05)) @@ -340,7 +340,8 @@ ts_end = model.t[ind_end] # #plt.plot(model.t, model.L[0].operator_norm(model.t)) with aux.get_data(model) as data: - tot_power = (model.total_power(data).sum_baths()) #model.total_energy(data).value + tot_power = (model.total_power(data).sum_baths()) + #model.total_energy(data).value fig, ax = plt.subplots() @@ -364,7 +365,7 @@ for begin, end in zip(ind_begin, ind_end): (tot_power.slice(begin, end)).mean ) -steady_index = 3 +steady_index = 4 power = sum(powers[steady_index:]) * (1/(len(powers[steady_index:]))) ax.set_ylabel(r"$\langle{P}\rangle$") diff --git a/python/energy_flow_proper/10_antizeno_engine/anti_zeno_engine.org b/python/energy_flow_proper/10_antizeno_engine/anti_zeno_engine.org index c5848e8..f1e6c73 100644 --- a/python/energy_flow_proper/10_antizeno_engine/anti_zeno_engine.org +++ b/python/energy_flow_proper/10_antizeno_engine/anti_zeno_engine.org @@ -23,11 +23,11 @@ Init ray and silence stocproc. #+begin_src jupyter-python import ray ray.shutdown() - ray.init() + ray.init(address="auto") #+end_src #+RESULTS: -: RayContext(dashboard_url='', python_version='3.9.13', ray_version='1.13.0', ray_commit='e4ce38d001dbbe09cd21c497fedd03d692b2be3e', address_info={'node_ip_address': '141.30.17.225', 'raylet_ip_address': '141.30.17.225', 'redis_address': None, 'object_store_address': '/tmp/ray/session_2022-07-25_22-00-30_945686_3162741/sockets/plasma_store', 'raylet_socket_name': '/tmp/ray/session_2022-07-25_22-00-30_945686_3162741/sockets/raylet', 'webui_url': '', 'session_dir': '/tmp/ray/session_2022-07-25_22-00-30_945686_3162741', 'metrics_export_port': 57398, 'gcs_address': '141.30.17.225:47171', 'address': '141.30.17.225:47171', 'node_id': 'ec35f16714019c3e897b7d2e14e60586716f2ef0d72e3c5085510348'}) +: RayContext(dashboard_url='', python_version='3.9.13', ray_version='1.13.0', ray_commit='e4ce38d001dbbe09cd21c497fedd03d692b2be3e', address_info={'node_ip_address': '141.30.17.225', 'raylet_ip_address': '141.30.17.225', 'redis_address': None, 'object_store_address': '/tmp/ray/session_2022-08-03_09-59-55_317090_64892/sockets/plasma_store', 'raylet_socket_name': '/tmp/ray/session_2022-08-03_09-59-55_317090_64892/sockets/raylet', 'webui_url': '', 'session_dir': '/tmp/ray/session_2022-08-03_09-59-55_317090_64892', 'metrics_export_port': 59703, 'gcs_address': '141.30.17.225:63911', 'address': '141.30.17.225:63911', 'node_id': 'd51bbc6a92fec03d9021b1ec19988257443d0d4044aa19eeae5f2c63'}) #+begin_src jupyter-python :results none from hops.util.logging_setup import logging_setup @@ -44,7 +44,7 @@ Init ray and silence stocproc. ω_0=6, ε=1e-3, ε_couple=1 / 2, - n=6, + n=4, cycle_scale=1, switch_cycles=3, detune=0, @@ -235,14 +235,14 @@ Init ray and silence stocproc. ) = anti_zeno_engine( Δ=11, ε=1,#.1, - ω_c=2, + ω_c=1, ε_couple=0.7, - n=12, + n=6, detune=.5, ω_0=20, T_c=1e3, T_h=1e4, - δ=[3.2*.01, 1*.01], + δ=[3.2*.01/4, 1*.01/4], γ=.2, switch_cycles=1, therm_initial_state=False, @@ -251,7 +251,7 @@ Init ray and silence stocproc. dt=0.01, sp_tol=1e-3, ) - model.k_max = 3 + model.k_max = 4 # model, params = anti_zeno_engine(ε=1/2, ε_couple=1e-4, n=1, detune=.5, δ=[.1,.1]) fs.tex_value( @@ -297,14 +297,14 @@ Let's test the assumptions of the paper. #+end_src #+RESULTS: -: 5 +: 9 ** BCFs and Modulations #+begin_src jupyter-python :tangle nil def thermal_bcf(t): return model.bcf(1)(t) + 2 * (model.thermal_correlations(1)(t).real) plt.clf() - + #plt.plot(model.t, np.abs(thermal_bcf(model.t))/np.abs(thermal_bcf(0)), alpha=.5, zorder=5, label="BCF (cold bath)") #plt.plot(model.t, abs(model.bcf(0)(model.t)) / abs(model.bcf(0)(model.t)).max(), linewidth=1) plt.plot(model.t, model.L[0].operator_norm(model.t), linewidth=1, label=r"$||L||$") @@ -317,8 +317,8 @@ Let's test the assumptions of the paper. #+RESULTS: :RESULTS: -: -[[file:./.ob-jupyter/4b60e04c9426dcd4913627aceeac9e9adf55989f.svg]] +: +[[file:./.ob-jupyter/b47aa544d9c7f47dacdbf23b0b1f48afbd5cdf2f.svg]] :END: #+begin_src jupyter-python :tangle nil @@ -331,7 +331,7 @@ Let's test the assumptions of the paper. ) - mx = (total_sd(1, ωs)).max() + mx = 1#(total_sd(1, ωs)).max() plt.clf() plt.plot( @@ -368,7 +368,7 @@ Let's test the assumptions of the paper. #+end_src #+RESULTS: -[[file:./.ob-jupyter/df1bb49b2d831b72f47fb1276f1abd8782708179.svg]] +[[file:./.ob-jupyter/8f4d17868a90f115a61a45574a41dbb4c56091ad.svg]] #+begin_src jupyter-python ts = np.linspace(0,50,1000) @@ -378,9 +378,9 @@ Let's test the assumptions of the paper. #+RESULTS: :RESULTS: -|
| | -[[file:./.ob-jupyter/fb29a999f1e1de740de4032f57ab31d19c605398.svg]] -[[file:./.ob-jupyter/6bf5c5d63ea0269db05193940e43ce7493b3258d.svg]] +|
| | +[[file:./.ob-jupyter/61d035344452d20d66cc5b8615af143feb6308b7.svg]] +[[file:./.ob-jupyter/b3c60455c8235c5efbf472a8b1c23d99a4e06a76.svg]] :END: #+begin_src jupyter-python @@ -421,95 +421,9 @@ Let's test the assumptions of the paper. ** Integration #+begin_src jupyter-python - aux.integrate(model, 10000) + aux.integrate(model, 10_000) #+End_src -#+RESULTS: -:RESULTS: -#+begin_example - [INFO hops.core.integration 241007] Choosing the nonlinear integrator. - [INFO hops.core.integration 241007] Using 21 integrators. - [INFO hops.core.integration 241007] Some 9900 trajectories have to be integrated. - [INFO hops.core.integration 241007] Using 165 hierarchy states. - 5% 447/9900 [1:25:29<30:08:06, 11.48s/it][INFO hops.core.signal_delay 241007] caught sig 'SIGINT' - 5% 448/9900 [1:25:35<30:05:43, 11.46s/it] - 2022-07-20 18:22:31,404 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information. - 2022-07-20 18:22:31,406 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information. - 2022-07-20 18:22:31,408 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information. - 2022-07-20 18:22:31,411 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information. - 2022-07-20 18:22:31,413 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information. - 2022-07-20 18:22:31,416 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information. - 2022-07-20 18:22:31,417 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information. - 2022-07-20 18:22:31,420 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information. - 2022-07-20 18:22:31,422 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information. - 2022-07-20 18:22:31,423 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information. - 2022-07-20 18:22:31,425 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information. - 2022-07-20 18:22:31,426 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information. - 2022-07-20 18:22:31,428 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information. - 2022-07-20 18:22:31,430 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information. - 2022-07-20 18:22:31,431 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information. - 2022-07-20 18:22:31,432 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information. - 2022-07-20 18:22:31,434 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information. - 2022-07-20 18:22:31,437 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information. - 2022-07-20 18:22:31,441 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information. - 2022-07-20 18:22:31,445 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information. - 2022-07-20 18:22:31,446 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information. - [INFO hops.core.signal_delay 241007] caught 1 signal(s) - [INFO hops.core.signal_delay 241007] emit signal 'SIGINT' -#+end_example -# [goto error] -#+begin_example - --------------------------------------------------------------------------- - KeyboardInterrupt Traceback (most recent call last) - Input In [33], in () - ----> 1 aux.integrate(model, 10000) - - File ~/src/two_qubit_model/hiro_models/model_auxiliary.py:108, in integrate(model, n, data_path, clear_pd) -  98 # with model_db(data_path) as db: -  99 # if hash in db and "data" db[hash] -  101 supervisor = HOPSSupervisor( -  102 model.hops_config, -  103 n, -  104 data_path=data_path, -  105 data_name=hash, -  106 ) - --> 108 supervisor.integrate(clear_pd) -  110 with supervisor.get_data(True) as data: -  111 with model_db(data_path) as db: - - File ~/src/hops/hops/core/integration.py:1288, in HOPSSupervisor.integrate(self, clear_pd) -  1285 break -  1287 integration.update() - -> 1288 data.new_samples( -  1289 idx=index, -  1290 incomplete=incomplete, -  1291 psi0=psi0, -  1292 aux_states=aux_states, -  1293 stoc_proc=stoc_proc, -  1294 result_type=self.params.HiP.result_type, -  1295 normed=self._normed_average, -  1296 rng_seed=seed, -  1297 ) - - File ~/src/hops/hops/core/signal_delay.py:87, in sig_delay.__exit__(self, exc_type, exc_val, exc_tb) -  84 if len(self.sigh.sigs_caught) > 0 and self.handler is not None: -  85 self.handler(self.sigh.sigs_caught) - ---> 87 self._restore() - - File ~/src/hops/hops/core/signal_delay.py:68, in sig_delay._restore(self) -  66 for i, s in enumerate(self.sigs): -  67 signal.signal(s, self.old_handlers[i]) - ---> 68 self.sigh.emit() - - File ~/src/hops/hops/core/signal_delay.py:42, in SigHandler.emit(self) -  40 for s in self.sigs_caught: -  41 log.info("emit signal '{}'".format(SIG_MAP[s])) - ---> 42 os.kill(os.getpid(), s) - - KeyboardInterrupt: -#+end_example -:END: - #+Begin_src jupyter-python #_, ax = pu.plot_energy_overview(model, markersize=1, ensemble_args=dict(gc_sleep=0.05)) @@ -523,7 +437,7 @@ Let's test the assumptions of the paper. #+end_src #+RESULTS: -[[file:./.ob-jupyter/d3befbb9d1b11bcbd94eb7452b2dd9f4a0784f47.svg]] +[[file:./.ob-jupyter/8d9958e16f95f9e97af490fbe7541838800a582e.svg]] - **too fast decoupling kills it** - no anti-zeno effects without detuning? @@ -550,17 +464,17 @@ Let's test the assumptions of the paper. #+RESULTS: :RESULTS: -: /nix/store/akzgacnj2l97sldws5cnxjlgv27317xd-python3-3.9.13-env/lib/python3.9/site-packages/matplotlib/cbook/__init__.py:1298: ComplexWarning: Casting complex values to real discards the imaginary part +: /nix/store/1vlyfg4vr0mvp6hrld7dspbis87s5xi6-python3-3.9.13-env/lib/python3.9/site-packages/matplotlib/cbook/__init__.py:1298: ComplexWarning: Casting complex values to real discards the imaginary part : return np.asarray(x, float) -: /nix/store/akzgacnj2l97sldws5cnxjlgv27317xd-python3-3.9.13-env/lib/python3.9/site-packages/matplotlib/axes/_axes.py:5218: ComplexWarning: Casting complex values to real discards the imaginary part +: /nix/store/1vlyfg4vr0mvp6hrld7dspbis87s5xi6-python3-3.9.13-env/lib/python3.9/site-packages/matplotlib/axes/_axes.py:5218: ComplexWarning: Casting complex values to real discards the imaginary part : pts[0] = start -: /nix/store/akzgacnj2l97sldws5cnxjlgv27317xd-python3-3.9.13-env/lib/python3.9/site-packages/matplotlib/axes/_axes.py:5219: ComplexWarning: Casting complex values to real discards the imaginary part +: /nix/store/1vlyfg4vr0mvp6hrld7dspbis87s5xi6-python3-3.9.13-env/lib/python3.9/site-packages/matplotlib/axes/_axes.py:5219: ComplexWarning: Casting complex values to real discards the imaginary part : pts[N + 1] = end -: /nix/store/akzgacnj2l97sldws5cnxjlgv27317xd-python3-3.9.13-env/lib/python3.9/site-packages/matplotlib/axes/_axes.py:5222: ComplexWarning: Casting complex values to real discards the imaginary part +: /nix/store/1vlyfg4vr0mvp6hrld7dspbis87s5xi6-python3-3.9.13-env/lib/python3.9/site-packages/matplotlib/axes/_axes.py:5222: ComplexWarning: Casting complex values to real discards the imaginary part : pts[1:N+1, 1] = dep1slice -: /nix/store/akzgacnj2l97sldws5cnxjlgv27317xd-python3-3.9.13-env/lib/python3.9/site-packages/matplotlib/axes/_axes.py:5224: ComplexWarning: Casting complex values to real discards the imaginary part +: /nix/store/1vlyfg4vr0mvp6hrld7dspbis87s5xi6-python3-3.9.13-env/lib/python3.9/site-packages/matplotlib/axes/_axes.py:5224: ComplexWarning: Casting complex values to real discards the imaginary part : pts[N+2:, 1] = dep2slice[::-1] -[[file:./.ob-jupyter/bdbfb7472f39f1754b44fa9362ea38cb2f328ee6.svg]] +[[file:./.ob-jupyter/fe474d6c1cc00b9b1169d71fdec3d1d1691e431f.svg]] :END: - no steady state ... but we have to average... @@ -573,8 +487,8 @@ Let's test the assumptions of the paper. #+RESULTS: :RESULTS: -| | -[[file:./.ob-jupyter/15866c10ff396d5cf845d81482f7a03a06763d03.svg]] +| | +[[file:./.ob-jupyter/57feac844f95147aaef335e1b40c46c92eb49804.svg]] :END: ** TODO Power and Efficiency @@ -618,7 +532,8 @@ We need the time points where we sample the total energy. # #plt.plot(model.t, model.L[0].operator_norm(model.t)) with aux.get_data(model) as data: - tot_power = (model.total_power(data).sum_baths()) #model.total_energy(data).value + tot_power = (model.total_power(data).sum_baths()) + #model.total_energy(data).value #+end_src #+RESULTS: @@ -647,7 +562,7 @@ We need the time points where we sample the total energy. (tot_power.slice(begin, end)).mean ) - steady_index = 3 + steady_index = 4 power = sum(powers[steady_index:]) * (1/(len(powers[steady_index:]))) ax.set_ylabel(r"$\langle{P}\rangle$") @@ -665,8 +580,8 @@ We need the time points where we sample the total energy. #+RESULTS: :RESULTS: -: \(P=0.0101\pm 0.0027\) -[[file:./.ob-jupyter/e508f485cb6d1f43d160d67d409ac40986c810da.svg]] +: \(P=-6.1\pm 1.0\) +[[file:./.ob-jupyter/337698d3218a46a265d55f8efcdc3f4f477aeed1.svg]] :END: diff --git a/python/energy_flow_proper/10_antizeno_engine/poetry.lock b/python/energy_flow_proper/10_antizeno_engine/poetry.lock index 2f81be2..676db90 100644 --- a/python/energy_flow_proper/10_antizeno_engine/poetry.lock +++ b/python/energy_flow_proper/10_antizeno_engine/poetry.lock @@ -392,7 +392,7 @@ woff = ["zopfli (>=0.1.4)", "brotlicffi (>=0.8.0)", "brotli (>=1.0.1)"] [[package]] name = "frozenlist" -version = "1.3.0" +version = "1.3.1" description = "A list-like structure which implements 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