Fostering innovation through quantum technology transfer: Insights from the second Vasco Ronchi Colloquium
Published 2025-04-29
Keywords
- Vasco Ronchi,
- Technology Transfer,
- intellectual property,
- quantum technology,
- sensing
- quantum security ...More
How to Cite
Copyright (c) 2025 Francesco Saverio Cataliotti

This work is licensed under a Creative Commons Attribution 4.0 International License.
Abstract
The article presents an in-depth analysis of the topics covered by this second Vasco Ronchi Colloquium (VRC), held on March 27th 2024 at the Arcetri headquarters of the National Institute of Optics of CNR, entitled “(QU)BITS OF TECHNOLOGY TRANSFER” and focusing on quantum technologies for sensing and security. The VR Colloquia are a format of brief targeted meetings, designed specifically by CNR-INO for boosting the interaction between researchers from the institute and businesses with an effective approach which could trigger the start of a collaboration aimed at the technology transfer of the research results. The two VRCs experienced at CNR-INO have proven effective in capturing corporate interest and initiating collaborations for the transfer of technologies to the market, both with lower and higher TRLs. The fields of application of quantum technologies developed at CNR-INO and presented here range from biomedical imaging to next-generation sensors, to new data encoding methods for secure applications and transmissions. The experience of a spin-off in the reference sector that participates in the VRC serves as an important example of successful technology transfer in this specific market. At the same time, the VRC provides a valuable opportunity for spin-offs, offering a boost for potential new trade connections and opportunities for collaboration with entrepreneurs.
Metrics
References
- Checcucci et al., “Beaming light from a quantum emitter with a planar optical antenna,” Light: Science & Applications 6, (2017).
- H. Galal, M. Agio, “Highly efficient light extraction and directional emission from large refractive-index materials with a planar Yagi-Uda antenna,” Opt. Mater. Express 7, 1645 (2017).
- Lombardi et al. “A molecule-based single-photon source applied in quantum radiometry,” Adv. Quantum technol. 1900083, (2019).
- Esteso et al., “Enhanced fluorescence in a lens-less fiber-optic sensor for C-reactive protein detection,” Chemosensors 11(8), 448 (2023).
- Family patent “Device for the beaming of light emitted by light sources, in particular fluorescence of molecules”: granted in USA n. US10571398 and in EU n. EP3283869.
- Roth, B.J. Magneto-Acoustic Imaging in Biology. Appl. Sci., 13, 3877 (2023).
- Yuanyuan Li and Guoqiang Liu, Chinese Journal of Electrical Engineering, Vol. 9, No. 1, March 2023.
- S. Nocentini et. al. “All-optical multilevel physical unclonable functions”, Nature materials (2024), https://doi.org/10.1038/s41563-023-01734-7
- Project FOTCOM. Sistemi fotonici complessi per le tecnologie dell’informazione e della comunicazione. Fondazione Cassa di Risparmio di Firenze.
- Project AFOSR (Air force Office of Scientific Research)/RTA 2 «Highly secure nonlinear physical unclonable functions»
- F. Poggiali, P. Cappellaro, and N. Fabbri. Optimal Control for One-Qubit Quantum Sensing, Physical Review X 8, 021059 (2018).
- S. Hernández-Gómez and N. Fabbri. Quantum Control for Nanoscale Spectroscopy With Diamond Nitrogen-Vacancy Centers: A Short Review. Front. Phys. 8: 610868 (2021)
- N. Fabbri et. al. “Quantum sensing technologies for Defence applications: the project QUANDO”, Proceedings 23rd International Radar Symposium IRS, pp 294-299 (2022).
- S. Hernández Gómez et. al. Optimal Quantum Control of a Spin Qubit in Diamond for Biosensing Proceedings of 2022 IEEE MetroInd40&IoT, special session on “The frontiers of sensing: Quantum & biosensors” (2022).
- Stefano Martina, Santiago Hernández-Gómez, Stefano Gherardini, Filippo Caruso, and Nicole Fabbri. Mach. Learn.: Sci. Technol. 4 02LT01 (2023).
- Santiago Hernández-Gómez, Federico Balducci, Giovanni Fasiolo, Paola Cappellaro, Nicole Fabbri, Antonello Scardicchio, Optimal control of a quantum sensor: A fast algorithm based on an analytic solution. SciPost Phys. 17, 004 (2024)
- .