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New technique: Learning-based quantum error mitigation
New error mitigation technique: Learning-based quantum error mitigation
Problem
Mitiq needs more error mitigation techniques.
The Learning-based quantum error mitigation could be viewed as an enhancement to mitiq.cdr
: Fit data with ansatz other than ax + b.
Rough requirements
- TBD
Draft RFC
https://docs.google.com/document/d/1VrZRV59-2ApemebfbL556Rj7I2AMhAS7bJgGuTg3K1w/edit?usp=sharing
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@crazy4pi314 I'd like to give this one a try.
Awesome! I'd suggest drafting a proposal for the rough architecture/syntax you are thinking of, and then that give the community a good way to give feedback! There is a formal template in the docs folder, else sharing a word/Google doc link here works too.
Link to my draft RFC - still very rough
https://docs.google.com/document/d/1Bl8Ix4MB32wa_X_FwMx2LLmt3BRyzoyHwcuYphbGIV8/edit?usp=sharing
This issue had no activity for 2 months, and will be closed in one week unless there is new activity. Cheers!
Draft RFC https://docs.google.com/document/d/13kD3O-sMZARgSTNItTn58hzWbDLs3I0WtFL3nZffh-M/edit
https://docs.google.com/document/d/1VrZRV59-2ApemebfbL556Rj7I2AMhAS7bJgGuTg3K1w/edit?usp=sharing
This issue had no activity for 2 months, and will be closed in one week unless there is new activity. Cheers!
The RFC (design document) has been approved.
Step 1 of implementation complete: function to calculate biased noise representations (see #1109)