Add LightningQubit2 class
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albi3ro
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master
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lightning-qubit2-add-simulate
vincentmr
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Mar 14, 2024
mudit2812
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Mar 14, 2024
mudit2812
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Mar 14, 2024
mudit2812
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Mar 15, 2024
vincentmr
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This is massive :) Happy to approve the PR at this point. Thanks for all the hard work @mudit2812 and @albi3ro .
AmintorDusko
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Mar 15, 2024
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Great work here! Thank you @mudit2812, @albi3ro and @vincentmr for the awesome work!
Please don't forget the changelog!
Co-authored-by: Ali Asadi <10773383+maliasadi@users.noreply.github.com>
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Context:
PennyLane has added a new device interface that will potentially allow for adjoint differentiation to be enabled with lightning by default.
This PR adds the Python API for such a change.
Description of the Change:
This PR adds a
LightningQubit2class.It relies on three methods,
simulate,jacobianandsimulate_and_jacobianRight now, the device restricts itself to analytic simulations.
Benefits:
Users can get the most performant choices automatically, without having to manually request adjoint differentiation.
The internal simulation details are also fully abstracted away from the required device interface, allowing for change and optimizations as the technical details require.
Possible Drawbacks:
This will be a major breaking change to the interface, and users may be relying on the specific names of methods.
Shortcut Stories:
[sc-56080]