SaashaJoshi/piQture

Expand two-qubit unitary class to contain more structures.

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#77 opened on Mar 26, 2024

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enhancementgood first issue

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Description

Refer to the following papers:

T. Hur, L. Kim, and D. K. Park, “Quantum convolutional neural network for classical data classification,” Quantum Machine Intelligence, vol. 4, no. 1, Feb. 2022, doi: https://doi.org/10.1007/s42484-021-00061-x.

S. Sim, P. D. Johnson, and A. Aspuru‐Guzik, “Expressibility and Entangling Capability of Parameterized Quantum Circuits for Hybrid Quantum‐Classical Algorithms,” Advanced Quantum Technologies, p. 1900070, Oct. 2019, doi: https://doi.org/10.1002/qute.201900070.

Ian MacCormack, Conor Delaney, Alexey Galda, Nidhi Aggarwal, and Prineha Narang. Branching Quantum Convolutional Neural Networks. arXiv:2012.14439 [physics, physics:quant-ph], December 2020. arXiv: 2012.14439

Contributor guide

Research direction
Review the referenced papers to identify new two qubit unitary structures, then examine the existing codebase to determine where and how to implement them.
Tech stack
python
Domain
machine learningbackend
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-2 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Fresh
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Unclear
Prerequisites
PythonGit
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
45