Quantum_computing_tools Module

This repository provides a collection of Python utilities for:

• Constructing and serializing Qiskit quantum circuits
• Converting between circuit representations (QASM, matrices, operators)
• Simulating quantum circuits with and without noise
• Generating circuits from gate descriptions
• Performing unitary evolution from Hermitian matrices

It is structured into three core modules: qiskit tools, QASM serialization, and mathematical utilities.

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📁 Modules

Qiskit_tools.py — Qiskit Tools

Utility functions for:

• Creating standard circuits (|1⟩, |+⟩, GHZ-like superpositions)
• Building circuits from gate tuples like ("XX", [0,1], theta)
• Simulating circuits with and without depolarizing noise
• Getting expectation values using AerSimulator
• Checking if a circuit is transpiled for a given backend
• Extracting matrix representations from circuits
• Extracting the last single-qubit gates on each qubit

Maths_tools.py — Mathematical Gate Utilities

Mathematical helpers for gate and matrix operations:

• Generating tensor products of multiple Pauli operators
• Mapping string-labeled gates (e.g. "XX") to qiskit.circuit.library gates
• Constructing full unitary matrices from sequences of labeled gates
• Converting Hermitian matrices into time evolution operators exp(-iHt)

Qasm_tools.py — QASM Serialization Tools

Tools for working with OpenQASM 2.0:

• Serializing Qiskit circuits to QASM strings
• Inserting custom gate definitions (RXX, RYY, RZZ) into QASM
• Deserializing circuits from QASM using custom gate loaders

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🚀 Installation

Make sure you have the following packages installed:

pip install qiskit qiskit-aer numpy scipy

License

This project is open-source under the Apache 2.0 License.