QuTiP: Quantum Toolbox in Python
Quantum Toolbox in Julia
Python implementation of Krotov's method for quantum optimal control
The Swiss Army Knife of Applied Quantum Technology (Experimental Tech)
Efficient numerical calculation of generalized filter functions
Simulate realistic quantum control sequences using QuTiP
📖 Introduction to Quantum Computing and Projects 🚀
Benchmarks for popular Quantum Optics frameworks
Python package for analyzing two-qubit gates in the Weyl chamber
Modelling simple atoms and 87Rb in cavity-QED.
Graphical User Interface simulation software for 3D optical lattices formed by mutual interaction between atomic internal structure and external electric field configurations. Master's thesis project at Miami University --Ohio.
Numerical simulation of two-qubit CZ gate implementation with trapped neutral atoms
Implementations of various quantum error correction schemes using QuTiP
Intro to Quantum Computing - quantum optics to algorithms with interactive labs
The Krylov approximation method provides an efficient approach to perform time-evolutions of quantum states for systems with large-dimensional Hilbert spaces.
Quantum control algorithms for multiple examples based on the package Qutip
A Jupyter notebook reproducing the results of "Nonlinear response of the vacuum Rabi resonance"
Quantum Simulation Framework for N-Level Cavity QED
Open Systems Dynamics for the Group project
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