Quantum sensors that compute: quantum computational magnetic-field sensing using a superconducting qubit
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.
Authors
- Xiangqin Wang
- Saeed A. Khan (ORCID: https://orcid.org/0000-0002-8047-4657)
- William P. Banner (ORCID: https://orcid.org/0000-0003-2089-5502)
- William D. Oliver (ORCID: https://orcid.org/0000-0001-8041-0824)
- Alen Senanian (ORCID: https://orcid.org/0000-0002-7757-3822)
- Mathieu Ouellet (ORCID: https://orcid.org/0000-0002-0651-4817)
- Peter L. McMahon (ORCID: https://orcid.org/0000-0002-1177-9887)
- Sridhar Prabhu (ORCID: https://orcid.org/0009-0005-4575-3916)
- Purnendu Sen (ORCID: https://orcid.org/0009-0005-2401-2588)
Institutions
- Cornell University (US)
- Massachusetts Institute of Technology (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-08-13
- DOI
- https://doi.org/10.5281/zenodo.21922738
- Primary Topic
- Quantum and electron transport phenomena
- Type
- article
- Field-Weighted Citation Impact
- 0.00