QuTiP: Quantum Toolbox in Python
Quantum Toolbox in Julia
Python implementation of Krotov's method for quantum optimal control
Intro to Quantum Computing - quantum optics to algorithms with interactive labs
The Swiss Army Knife of Applied Quantum Technology (Experimental Tech)
Efficient numerical calculation of generalized filter functions
Python package for analyzing two-qubit gates in the Weyl chamber
Simulate realistic quantum control sequences using QuTiP
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.
Benchmarks for popular Quantum Optics frameworks
Numerical simulation of two-qubit CZ gate implementation with trapped neutral atoms
Computational study of quantum light-matter interaction in the Jaynes-Cummings (JC) model. All dynamics are computed from first principles using QuTiP, with no phenomenological approximations
Implementations of various quantum error correction schemes using QuTiP
📖 Introduction to Quantum Computing and Projects 🚀
The Krylov approximation method provides an efficient approach to perform time-evolutions of quantum states for systems with large-dimensional Hilbert spaces.
MQED-QD: A Python toolkit for computing dyadic Green's functions, dipole–dipole interactions, and open quantum dynamics in layered dielectric media.
Schrödinger’s Cat Simulation
Anderson Localization and the Anderson Transition
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