Add IQP expval#8749
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JerryChen97
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Dec 31, 2025
Co-authored-by: Yushao Chen (Jerry) <chenys13@outlook.com>
Co-authored-by: Yushao Chen (Jerry) <chenys13@outlook.com>
josephbowles
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Mostly just some improvements to the docstrings.
Co-authored-by: josephbowles <54283511+josephbowles@users.noreply.github.com>
Co-authored-by: josephbowles <54283511+josephbowles@users.noreply.github.com>
Co-authored-by: josephbowles <54283511+josephbowles@users.noreply.github.com>
Co-authored-by: josephbowles <54283511+josephbowles@users.noreply.github.com>
gabrielasd
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Thank you @comp-phys-marc!
I only made two minor update suggestions for the docstring example but this looks good to me :)
Co-authored-by: Gabriela Sánchez Díaz <gsdiaz21@gmail.com>
Co-authored-by: Gabriela Sánchez Díaz <gsdiaz21@gmail.com>
Jaybsoni
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**Context:** We would like to support Joseph Bowles' [paper](https://arxiv.org/pdf/2503.02934) "train on classical, deploy on quantum" on Instantaneous Quantum Polynomial (IQP) circuits by adding supporting functionality to PennyLane. **Description of the Change:** Adds functionality for the calculation of the expectation value to the `math` module. **Benefits:** Allows us to calculate the expectation values of Z measurements following IQP circuits without the need to perform state vector simulations of the IQP circuits. This is useful for training IQP circuits classically. **Possible Drawbacks:** Does not yet implement corresponding loss function(s). **Related ShortCut Stories:** [sc-105540] --------- Co-authored-by: josephbowles <54283511+josephbowles@users.noreply.github.com> Co-authored-by: Joseph Bowles <bowles.physics@gmail.com> Co-authored-by: Yushao Chen (Jerry) <chenys13@outlook.com> Co-authored-by: Gabriela Sánchez Díaz <gsdiaz21@gmail.com>
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Context: We would like to support Joseph Bowles' paper "train on classical, deploy on quantum" on Instantaneous Quantum Polynomial (IQP) circuits by adding supporting functionality to PennyLane.
Description of the Change: Adds functionality for the calculation of the expectation value to the
mathmodule.Benefits: Allows us to calculate the expectation values of Z measurements following IQP circuits without the need to perform state vector simulations of the IQP circuits. This is useful for training IQP circuits classically.
Possible Drawbacks: Does not yet implement corresponding loss function(s).
Related ShortCut Stories: [sc-105540]