Related Experiment Video
Updated: Jun 29, 2025

10:52
Direct Imaging of Laser-driven Ultrafast Molecular Rotation
Published on: February 4, 2017
9.7K
Ultrafast electro-optic time-frequency fractional Fourier imaging at the single-photon level
Optics Express
|April 4, 2024
Summary
We present a novel, low-noise optical implementation of the Fractional Fourier Transform (FRT) using electro-optic modulators. This versatile system enables fast, all-electronic control for advanced time-frequency processing in classical and quantum applications.
Area of Science:
- Optics and Photonics
- Quantum Technologies
- Signal Processing
Background:
- The Fractional Fourier Transform (FRT) is a generalization of the Fourier Transform, crucial for time-frequency (TF) analysis.
- FRT finds applications in signal processing and quantum sensing, requiring low-noise TF operations.
- Existing FRT implementations often rely on noisy non-linear optical processes.
Purpose of the Study:
- To introduce a versatile, low-noise, single-photon-compatible optical implementation of the Fractional Fourier Transform.
- To demonstrate fast, all-electronic control over the FRT angle.
- To explore the trade-off between FRT angle and optical bandwidth.
Main Methods:
- Synthesized optical TF FRT using a sequence of spectral dispersers and an electro-optic modulator (EOM)-based time-lens.
- Employed state-of-the-art EOMs to avoid noise from non-linear optical interactions.
- Utilized precise radio-frequency signal control for fast, electronic adjustment of the FRT angle.
Main Results:
- Demonstrated FRT angles up to 1.63 radians for coherent, temporally separated pulses (11.5 ps width) at 800 nm.
- Achieved good agreement between simulated and measured spectra in both bright-light and single-photon regimes.
- Established a trade-off between maximal FRT angle and optical bandwidth, supporting up to 248 GHz.
Conclusions:
- The presented EOM-based FRT offers a low-noise, versatile, and electronically controllable platform for optical TF processing.
- The system shows excellent scalability potential with advancements in EOM integration.
- Envisages broad applications in classical and quantum all-optical TF processing, including sensing and filtering.

