10: even longer init but looking good

This commit is contained in:
Valentin Boettcher 2022-08-04 11:57:38 +02:00
parent 710326b8c4
commit 452d36fd52
2 changed files with 23 additions and 14 deletions

View file

@ -228,7 +228,7 @@ def anti_zeno_engine(
γ=.2,
switch_cycles=1,
therm_initial_state=False,
ε_init=.001,
ε_init=.0001,
terms=6,
dt=0.01,
sp_tol=1e-3,

View file

@ -27,10 +27,7 @@ Init ray and silence stocproc.
#+end_src
#+RESULTS:
:RESULTS:
: [INFO ray.worker 123113] Connecting to existing Ray cluster at address: 141.30.17.225:48665
: 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'})
:END:
: 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'})
#+begin_src jupyter-python :results none
from hops.util.logging_setup import logging_setup
@ -250,7 +247,7 @@ Init ray and silence stocproc.
γ=.2,
switch_cycles=1,
therm_initial_state=False,
ε_init=.001,
ε_init=.0001,
terms=6,
dt=0.01,
sp_tol=1e-3,
@ -322,8 +319,8 @@ Let's test the assumptions of the paper.
#+RESULTS:
:RESULTS:
: <matplotlib.legend.Legend at 0x7f3526fb1f40>
[[file:./.ob-jupyter/7a53d7cdd2df6440ad8fdfe33a72afa1e81407a2.svg]]
: <matplotlib.legend.Legend at 0x7ff47b5d8f70>
[[file:./.ob-jupyter/84c423a9401fb0410819d4df4fd07089f24fa24e.svg]]
:END:
#+begin_src jupyter-python :tangle nil
@ -442,7 +439,7 @@ Let's test the assumptions of the paper.
#+end_src
#+RESULTS:
[[file:./.ob-jupyter/376c37c51fcc6955ee95a166700c5cf689cbe2da.svg]]
[[file:./.ob-jupyter/50d1bb2a98247cea870e723c788bae09a3eb04ea.svg]]
- **too fast decoupling kills it**
- no anti-zeno effects without detuning?
@ -468,7 +465,19 @@ Let's test the assumptions of the paper.
#+end_src
#+RESULTS:
[[file:./.ob-jupyter/affa83a64b22c81ddd738f2fedc2bd35423b2838.svg]]
: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
: 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
: 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
: 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
: 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
: pts[N+2:, 1] = dep2slice[::-1]
[[file:./.ob-jupyter/6c7dd6320634995333544d0d20997d252a9cfece.svg]]
:END:
- no steady state ... but we have to average...
@ -480,8 +489,8 @@ Let's test the assumptions of the paper.
#+RESULTS:
:RESULTS:
| <matplotlib.lines.Line2D | at | 0x7f3528f02370> |
[[file:./.ob-jupyter/bfca3ea922a5c707c0bea388c8320aeb90015637.svg]]
| <matplotlib.lines.Line2D | at | 0x7ff47bc9ebb0> |
[[file:./.ob-jupyter/585df3b23fc95829cde1d1a31b416a1cb10d760d.svg]]
:END:
** TODO Power and Efficiency
@ -568,8 +577,8 @@ We need the time points where we sample the total energy.
#+RESULTS:
:RESULTS:
: \(P=0.0041\pm 0.0015\)
[[file:./.ob-jupyter/b5ba2a73726b7e739917ff0f411997c28baa79c1.svg]]
: \(P=-0.0007\pm 0.0018\)
[[file:./.ob-jupyter/d5776ec43522109db1d102212062ba37099e86fb.svg]]
:END: