Quantum sensors that compute: quantum computational magnetic-field sensing using a superconducting qubit
Authors/Creators
Description
This repository contains the code, data, and analysis supporting the manuscript “Quantum sensors that compute: quantum computational magnetic-field sensing using a superconducting qubit.”
The work investigates quantum computational sensing with a superconducting qubit using quantum signal processing (QSP). It includes numerical simulations and experimental workflows for sensing DC magnetic fields, AC signal amplitudes, and AC signal frequencies. QSP sensing protocols are compared with conventional approaches, including Ramsey sensing, dynamical decoupling, and iterative quantum phase estimation.
Files
data.zip
Files
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Additional details
Funding
- United States Air Force Office of Scientific Research
- FA9550-22-1-0203
- United States Army Research Office
- W911NF-25-1-0261
- United States Army Research Office
- W911NF-23-1-0045
- Fonds de recherche du Québec
- 366727
Software
- Programming language
- Python