QuanEstimation is an open-source toolkit for quantum parameter estimation.
-
Updated
Nov 7, 2025 - Python
QuanEstimation is an open-source toolkit for quantum parameter estimation.
QuanEstimation.jl is an open-source toolkit for quantum parameter estimation and also the computational core of the Python-Julia package QuanEstimation
Tensor-network based package for efficient quantum metrology computations.
Jupyter notebook accompanying the paper Phys. Rev. A 110, 032436 (2024), arXiv:2312.02035
Le temps n'est plus une donnée reçue, c'est une phase de la matière. Implémentation théorique d'une horloge réseau décentralisée via la Brisure de Symétrie Temporelle (DTC) pour les infrastructures 6G et l'Internet Quantique
Desarrollo de nuevas fuentes de luz cuántica denominadas squeezed lasers, que combinan propiedades de estrechamiento de línea espectral típicas de los láseres, con la reducción de fluctuaciones en una cuadratura típica de los estados squeezed.
A Monte Carlo simulation in Python to model vacuum-induced frequency drifts in atomic clocks, with code and visuals (experimental setup, simulated vs. real-world comparison, and drift graph), as described in "Probing Vacuum-Induced Clock Drifts via Quantum Metrology: A Testable Hypothesis" (DOI: 10.5281/zenodo.15163879). Licensed under GPL 3.0.
Add a description, image, and links to the quantum-metrology topic page so that developers can more easily learn about it.
To associate your repository with the quantum-metrology topic, visit your repo's landing page and select "manage topics."