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Fermionic dataset for Machine Learning

Dataset generation and implementation for performing Machine Learning with fermionic states.

  • Dataset generation is a code writen in Julia using the Fermionic.jl library. It simulates a superconducting Hamiltonian and generates exact states in both superconducting and normal phases.
  • Dataset qiskit is written in Python using Qiskit. It opens the dataset and inputs them into a Qiskit algorithm Open In Colab

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Dataset generation for fermionic simulations in Qiskit

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