tensorflow / tensorflow/quantum
[Discussion] Dataset integrations
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@MichaelBroughton is already working on this.
Since Jun 23, 2020.
help wanted
kind/feature-request
priority/review
status/needs-design
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- Python
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Description
We recently had our first outside contributor add to TFQ datasets. Big thanks @therooler and the rest of the U of T folks! Now that we have our first example in place, let's use this issue to plan out the new datasets we want to add in an open discussion. To my knowledge these sorts of things were up for discussion (correct me if I'm wrong @therooler ) :
1d TFI chain- 2d TFI grid
- TFI on a star
- XY model on chain (Mentioned in meeting, but I'm not 100% on this) ?
- XY model on grid (Mentioned in meeting, but I'm not 100% on this) ?
Other talking points:
- What sorts of other spin system style models do we want ? (AKT, XYZ, XZX etc. )
- What sorts of properties should we incorporate as dataset labels ? (paramagnetic, paramagnetic, ground state energy, desired unitary etc. )
- What sorts of other NON spin system style datasets do we want ? (perhaps an ensemble of noisy circuits which all correspond to some hidden unitary we wish to realize. Maybe a series of circuits containing time correlated errors that we need to identify)
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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