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