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quantum-machine-learning-for-titanic-on-ibm-q's Introduction

Variational Quantum Classifier for Titanic on IBM Q

Implementation of a Variational Quantum Classifier Algorithm for the Titanic dataset. The code is currently under reconstruction to remove depency from qiskit Aqua as it it depreciated

The pre-processed data available on Kaggle.

Requirements

  • Python 3.9
  • Pandas
  • Qiskit
pip install -r requirements.txt

License

Apache License 2.0

quantum-machine-learning-for-titanic-on-ibm-q's People

Contributors

adelshb avatar

Stargazers

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Forkers

ystallonne nimitkothari cherradii airob ahx-code dalcinj zeta1999 ersawant ghellstern matthieusarkis

quantum-machine-learning-for-titanic-on-ibm-q's Issues

Not working with the Qiskit==0.13.0 version

Dear @adelshb

While I was inspecting the code I found the following:

quantum_instance = QuantumInstance(backend, shots=shots, seed=random_seed seed_transpiler=random_seed)

Why both seed and seed_transpiler variables are set to the random_seed?

Also in Qiskit==0.13.0 version, the code is not executing. It is not giving error but I guess it enters in an infinite loop.

Regards

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