The implementation of our package QuantumGRN is achieved using NumPy, Pandas, Matplotlib, iGraph and Qiskit—an open-source library for working with quantum computer simulators. Our package uses the Aer Simulator backend for a noisy circuit simulator. More details about code implementation and dataset can be found in data and code availability sections.
Quantum computation theory
In this section, we introduce broad-audience background of quantum computation. In classical computation, a bit is the unit of information being |0〉 or |1〉 in Dirac notation, defined as (1 0) T and (0 1) T…
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