This is a quantum computer simulator in Python with several Jupyter notebooks to illustrate possible usage.
The main purpose of this simulator is to explain the connection between quantum information theory and its implementation in Python code. Intermediate quantum states are visualised to get insight in the effect of quantum operations on the state of a quantum circuit. A number of Jupyter notebooks with common quantum algorithms is provided. In addition, the concept of incoherence and quantum noise is introduced and visualised with animations using Bloch spheres.
Contents of this repository:
| File | Description |
|---|---|
| quantumsim.py | Contains the Python code of QuantumSim |
| QuantumSimIntroduction.ipynb | Introduction to QuantumSim |
| QuantumSimVisualization.ipynb | Visualisation of intermediate quantum states |
| QuantumSimMoreOperations.ipynb | More quantum operations with examples |
| QuantumSimBellStates.ipynb | Implementation of the four Bell states |
| QuantumSimFourierTransform.ipynb | Quantum Fourier Transform (QFT) and inverse QFT |
| QuantumSimShorAlgorithm.ipynb | Shor's Algorithm |
| QuantumSimGroverAlgorithm.ipynb | Grover's Algorithm |
| QuantumSimDeutschJozsa.ipynb | Deutsch-Jozsa Algorithm |
| QuantumSimNoise.ipynb | Incoherence and quantum noise |
| QuantumSimNoiseBlochSphere.ipynb | Visualisation of (noisy) circuits using Bloch spheres |
| QuantumSimDecomposeMultiControlledXandZ.ipynb | Decomposition of multi-qubit controlled X and Z gates |
bloch_sphere_animation_fourier.mp4
is an example animation of (inverse) Quantum Fourier Transform (QFT) with Bloch spheres. Green arrows represent the state of an ideal circuit and red arrows the state of a noisy circuit. The circuit is composed of 5 qubits. The qubits are brought into Fourier state
This code requires QuTiP for the visualisation of Bloch spheres, see https://qutip.org/.
Copyright (c) 2024 Nico Kuijpers
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