SMART_Q_ET

Full title: SMARTly Quantum Light Source for Einstein Telescope
Funding: PRIN PNRR 2022
Scientific Coordinator: Maria Parisi (CNR-INO, Naples)

Project Objective:

The SMART_Q_ET project aims to develop a compact, robust, and high-performance source of squeezed quantum light designed for integration into the third-generation gravitational wave detector Einstein Telescope (ET). The main goal is to enhance the sensitivity of optical detection systems beyond the standard quantum limit, especially in the mid-to-low frequency bands.

Main Activities:

  • Design and prototyping of squeezed light sources based on cascaded nonlinear optical processes.
  • Theoretical modeling and simulations of optimized configurations for advanced interferometers.
  • Development of balanced homodyne detection techniques for the characterization and validation of the quantum sources.

Key Technologies:

  • Frequency-dependent squeezed light generation.
  • Compact and thermally stable optical architectures.
  • Advanced nonlinear optics, including crystals and microresonator-based platforms.

Project Participants:

  • Simona Mosca (CNR-INO)
  • Antigone Marino (CNR-ISASI)
  • Rosario Del Rosa (University of Naples Federico II – UNINA contact point)
  • Martina De Laurentis (University of Naples Federico II)
  • Maria Parisi (CNR-INO, Naples) – Scientific Coordinator and Principal Investigator

Expected Impact:

The project aims to demonstrate a compact and reliable squeezed light source that meets the demanding requirements of next-generation gravitational wave observatories, such as the Einstein Telescope. By pushing the boundaries of quantum optics, it contributes to the broader advancement of quantum technologies for high-precision metrology, enabling measurements with sensitivities beyond classical limits. The outcomes of this research hold promise for a range of applications, including advanced spectroscopy, secure quantum communication, and the detection of extremely weak signals in both fundamental science and emerging technologies.