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https://github.com/vale981/master-thesis
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10: even longer init but looking good
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parent
710326b8c4
commit
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2 changed files with 23 additions and 14 deletions
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@ -228,7 +228,7 @@ def anti_zeno_engine(
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γ=.2,
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switch_cycles=1,
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therm_initial_state=False,
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ε_init=.001,
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ε_init=.0001,
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terms=6,
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dt=0.01,
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sp_tol=1e-3,
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@ -27,10 +27,7 @@ Init ray and silence stocproc.
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#+end_src
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#+RESULTS:
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:RESULTS:
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: [INFO ray.worker 123113] Connecting to existing Ray cluster at address: 141.30.17.225:48665
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: 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_16-51-50_330688_106699/sockets/plasma_store', 'raylet_socket_name': '/tmp/ray/session_2022-08-03_16-51-50_330688_106699/sockets/raylet', 'webui_url': '', 'session_dir': '/tmp/ray/session_2022-08-03_16-51-50_330688_106699', 'metrics_export_port': 40539, 'gcs_address': '141.30.17.225:48665', 'address': '141.30.17.225:48665', 'node_id': '2b485e9daf283f489d86e8256bde8e8a015de5563d8e1923adda5db4'})
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:END:
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: 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_2022-08-04_11-17-18_747252_106699/sockets/plasma_store', 'raylet_socket_name': '/tmp/ray/session_2022-08-04_11-17-18_747252_106699/sockets/raylet', 'webui_url': '', 'session_dir': '/tmp/ray/session_2022-08-04_11-17-18_747252_106699', 'metrics_export_port': 62354, 'gcs_address': '141.30.17.225:53570', 'address': '141.30.17.225:53570', 'node_id': '079f1adbf34279fae2fd8852983a78a23ac1e68ab6ead506e1bb1467'})
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#+begin_src jupyter-python :results none
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from hops.util.logging_setup import logging_setup
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@ -250,7 +247,7 @@ Init ray and silence stocproc.
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γ=.2,
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switch_cycles=1,
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therm_initial_state=False,
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ε_init=.001,
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ε_init=.0001,
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terms=6,
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dt=0.01,
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sp_tol=1e-3,
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@ -322,8 +319,8 @@ Let's test the assumptions of the paper.
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#+RESULTS:
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:RESULTS:
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: <matplotlib.legend.Legend at 0x7f3526fb1f40>
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[[file:./.ob-jupyter/7a53d7cdd2df6440ad8fdfe33a72afa1e81407a2.svg]]
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: <matplotlib.legend.Legend at 0x7ff47b5d8f70>
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[[file:./.ob-jupyter/84c423a9401fb0410819d4df4fd07089f24fa24e.svg]]
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:END:
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#+begin_src jupyter-python :tangle nil
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@ -442,7 +439,7 @@ Let's test the assumptions of the paper.
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#+end_src
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#+RESULTS:
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[[file:./.ob-jupyter/376c37c51fcc6955ee95a166700c5cf689cbe2da.svg]]
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[[file:./.ob-jupyter/50d1bb2a98247cea870e723c788bae09a3eb04ea.svg]]
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- **too fast decoupling kills it**
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- no anti-zeno effects without detuning?
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@ -468,7 +465,19 @@ Let's test the assumptions of the paper.
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#+end_src
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#+RESULTS:
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[[file:./.ob-jupyter/affa83a64b22c81ddd738f2fedc2bd35423b2838.svg]]
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:RESULTS:
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: /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
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: return np.asarray(x, float)
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: /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
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: pts[0] = start
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: /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
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: pts[N + 1] = end
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: /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
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: pts[1:N+1, 1] = dep1slice
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: /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
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: pts[N+2:, 1] = dep2slice[::-1]
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[[file:./.ob-jupyter/6c7dd6320634995333544d0d20997d252a9cfece.svg]]
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:END:
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- no steady state ... but we have to average...
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@ -480,8 +489,8 @@ Let's test the assumptions of the paper.
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#+RESULTS:
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:RESULTS:
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| <matplotlib.lines.Line2D | at | 0x7f3528f02370> |
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[[file:./.ob-jupyter/bfca3ea922a5c707c0bea388c8320aeb90015637.svg]]
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| <matplotlib.lines.Line2D | at | 0x7ff47bc9ebb0> |
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[[file:./.ob-jupyter/585df3b23fc95829cde1d1a31b416a1cb10d760d.svg]]
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:END:
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** TODO Power and Efficiency
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@ -568,8 +577,8 @@ We need the time points where we sample the total energy.
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#+RESULTS:
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:RESULTS:
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: \(P=0.0041\pm 0.0015\)
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[[file:./.ob-jupyter/b5ba2a73726b7e739917ff0f411997c28baa79c1.svg]]
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: \(P=-0.0007\pm 0.0018\)
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[[file:./.ob-jupyter/d5776ec43522109db1d102212062ba37099e86fb.svg]]
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:END:
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