qiskit-machine-learning

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Add support for trainable quantum kernels to Pegasos Quantum Support Vector Classifier

1

### What should we add? The current version of the Pegasos Quantum Support Vector Classifier does not natively support the training of the parameters in the quantum kernel. https://qiskit-community.github.io/qiskit-machine-learning/tutorials/07_pegasos_qsvc.html Since...

puyamirkarimi

Migration to qiskit 2.0 and integration testing

4

### What should we add? The Qiskit SDK CI includes an integration testing step of downstream packages through https://github.com/Qiskit/qiskit-neko, among which we include `qiskit-machine-learning`. This allows us to see that...

ElePT

VQE-based Quantum Data Generator and Hamiltonian model suite

2

Summary This is a Quantum Data Generator for a variety of Hamiltonians defined in literature https://arxiv.org/abs/2408.12739. We utilize VQE to estimate the ground state energies and sample a range of...

rogue-infinity

Remove primitives V1

1

### What should we add? When adding support for Qiskit 2.0, V1 primitives need to be removed, and only V2 primitives will be supported. This change is expected to be...

edoaltamura

QCNN for multi class classification using NeuralNetworkClassifier

4

Hi Team, I am trying to perform multi class image classification on the MNIST dataset from tensorflow using QCNN but I am getting error while using Sampler QNN and Neural...

Atharv-02

Run Tutorials tests less often

1

### What should we add? CI tests for tutorials take up most of the runtime (~30 min for each Python version), and updates that affect them are rare. So, the...

edoaltamura

### What should we add? I am following the Qiskit tutorial on the QCNN (https://qiskit-community.github.io/qiskit-machine-learning/tutorials/11_quantum_convolutional_neural_networks.html) and I wanted to try the circuit on the MNIST dataset. Due to the amount...

DaoyiC