Quantum Sensor Network Algorithms for Transmitter Localization
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Updated
Nov 2, 2023 - Python
Quantum Sensor Network Algorithms for Transmitter Localization
A physics-based digital twin simulator and algorithm benchmarking suite for Fluorescent Nanodiamond (FND) Lock-In Optical Imaging.
Simulate the interaction between two systems of spins (sensors and targets)
Deep learning to make predictions from quantum sensor measurements
Fundamentals of Quantum Computing and Sensors workshop at Illinois Institute of Technology (2021)
biological-qubits-atlas
Physics-informed ESR tip magnetometry for Haldane chains with sparse 3D sensing and inverse recovery of beta and global magnetization.
Reproducible data processing and analysis pipeline for the manuscript "Superconducting antiqubit simulation enables optimal phase estimation via unitary inversion".
Reproducible ESR-STM workflow to probe spin fractionalization in S=1 Haldane chains (Phys. Rev. B 110, 045145, 2024).
Simulation-only quantum sensor fusion (QSFM) — seeded demo, CI, MIT, patent pending (dual-use).
This repository contains python code to control the various components required to conduct an experiment to optically detect the electron spin resonance in fluorescent micordiamonds.
Sequential hypothesis testing for continuously-monitored quantum systems. Real-time analysis of measurement signals with adaptive stopping criteria. Published in Quantum 8, 1289 (2024).
Estimate NV distance with implantation dose and transform ratio
Code associated with the manuscript: "Optimal squeezing for quantum target detection" by G. Spedalieri and S. Pirandola, Phys. Rev. Research 3, L042039 (2021). This work was funded by the EU Horizon 2020 Research and Innovation Action under grant agreement No. 862644 (FET Open project: Quantum readout techniques and technologies, QUARTET)
Publication-ready ODMR diagrams for NV-center physics
Conceptual in-silico simulation of Nano-Edge Cutter "Aeterna V19". > An AI-driven exploratory model integrating Refractory MEA (HfNbTaMo), NCD coatings, and NV-center sensing logic. Features Monte Carlo yield analysis and thermal-stress surrogate modeling. (Created via AI Prompt Engineering experiment)
Recherche fondamentale sur la manipulation de la lumière par la géométrie cristalline. Analyse comparative Diamant/Quartz et application de la frustration géométrique pour créer des métamatériaux photoniques et des pièges optiques quantiques
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