The Swiss Army Knife of Applied Quantum Technology (Experimental Tech)
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Updated
Sep 5, 2024 - Python
The Swiss Army Knife of Applied Quantum Technology (Experimental Tech)
Source code of Hiperwalk project
Quantum Walk Graph Classifier
In this thesis we study the properties of quantum walks with time dependent Hamiltonians, focusing in particular on the application to the quantum search problem on graphs. We study the search, localization and give a measure of robustness.
QSWalk.jl: simulating the evolution of open quantum systems on graphs
QI package for Mathematica
QuantumWalk.jl: Package for building algorithms based on quantum walks
Code and data used for the paper: Quantum state engineering using one-dimensional discrete-time quantum walks.
Mathematica package to handle quantum walks.
Rule based optimizer of quantum walk
The relationship of the spectral dimension and spatial search on a fractal lattice using quantum walk
Provides methods concerning checking and existance of exceptional configuration for quantum walks.
Simulation frameworks for classical, quantum, and hybrid classical-quantum walks on arbitrary networks.
Continuous-time quantum walk Python package and GUI
Implementation and analysis of different DTQW schemes in Qiskit.
Circuital implementation of a Quantum Random Walk on a Johnson graph using qiskit
Simulates a quantum walk on a 2D lattice in Fortran
In this paper, I’ll provide an overall introduction of of quantum walks and its application to two search problems 1. The Historic Quantum random-walk search algorithm 2. A recent generalization for Spatial Search
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