qiskit-machine-learning
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qiskit-community
Quantum Machine Learning
### What should we add? In the Terra release 0.20 new core components were introduced: Qiskit primitives, https://qiskit.org/documentation/apidoc/primitives.html. This epic is intended to group the tasks to implement new Qiskit...
### What should we add? In this issue we aim to write a new tutorial (preferable) or update the existing ones to cover new primitives-based quantum neural networks: `SamplerQNN` and...
### What should we add? Terra has implemented new ways to run circuits that may potentially speed up QNN training in the cloud. In this issue we implement a new...
### Current situation When using [CircuitQNN](https://github.com/Qiskit/qiskit-machine-learning/blob/main/qiskit_machine_learning/neural_networks/circuit_qnn.py), we are limited to a basic `measure_all()` operation. Whilst this isn't _bad_ per se, allowing the user to supply his own measurements would allow...
### Environment - **Qiskit Machine Learning version**: 0.4.0 - **Python version**: 3.10.0 - **Operating system**: macOS Monterrey (12.2.1) ### What is happening? Most of the `QGAN` unit tests are supposed...
### Environment - **Qiskit Machine Learning version**: 0.3.1 - **Python version**: 3.8.10 - **Operating system**: macOS-12.2.1-x86_64-i386-64bit ### What is happening? I'm trying to run an optimisation of the qGAN model....
### What is the expected enhancement? Recently VQE and QAOA were enhanced to have more flexibility around provisioning of an optimizer see Qiskit/qiskit-terra#7191. It might be nice that ML had...
### What is the expected enhancement? While most of the datasets have been deprecated in #319 the `ad_hoc` dataset is available in the module. This dataset is used in a...
The goal of this issue is to prepare a proof of concept implementation of quantum convolutional neural networks. It might be used for benchmarking, performance comparisons etc.
