Resurrect Model learning #117
Merged
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
lazyoracle
force-pushed
the
model-learning
branch
2 times, most recently
from
ae085d4
to
ce9e3b7
Compare
Blackbox freq 5e9 and anhar -210e6
Model freq:
{
value: 5000100000.0
min_val: 4995000000.0
max_val: 5005000000.0
unit: Hz 2pi
symbol: \alpha
}
Model anhar:
{
value: -210001000.0
min_val: -380000000.0
max_val: -120000000.00000003
unit: Hz 2pi
symbol: \alpha
}
The dataset is an ORBIT experiment with 20 ORBIT sequences, and altogether 30 experiments (calibration runs) were performed. The blackbox is a 1 qubit device with freq 5e9 and anhar -210e6
Codecov Report
@@ Coverage Diff @@
## dev #117 +/- ##
==========================================
+ Coverage 58.82% 63.63% +4.81%
==========================================
Files 36 36
Lines 5326 5327 +1
==========================================
+ Hits 3133 3390 +257
+ Misses 2193 1937 -256
Continue to review full report at Codecov.
|
nwittler
approved these changes
Jun 30, 2021
| m_shots = data_set["shots"][:seqs_pp] | ||
| sequences = data_set["seqs"][:seqs_pp] | ||
| with open(self.logdir + self.logname, "a") as logfile: | ||
| logfile.write( | ||
| f"\n Parameterset {ipar + 1}, #{count} of {len(indeces)}:\n" | ||
| f"{str(self.exp.pmap)}\n" |
There was a problem hiding this comment.
Removing str(self.exp.pmap) is correct, but do we instead want to print the current parameters in human-readable form here? exp.str_parameters() should do the trick.
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
What
Fill missing gaps in Model Learning code, test, docs and examples
Why
Fixes #91
How
c3/optimizers/c3.pytest/c3.cfgto be compatible with datasetc2_blackbox_exp.hjsontest/test_optim_init.pyfor model learning optimization objects