Related Experiment Video
Updated: Mar 14, 2026

09:23
Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
Published on: May 30, 2014
15.1K
Low-noise quantum frequency down-conversion of indistinguishable photons
Optics Express
|September 24, 2016
Summary
We achieved efficient quantum frequency down-conversion of single photons from 904 nm to the telecom C-band. The process preserves photon indistinguishability, crucial for quantum communication applications.
Area of Science:
- Quantum optics
- Solid-state physics
- Quantum information science
Background:
- Indistinguishable single photons are essential for quantum communication and computing.
- Quantum frequency conversion is a key technique for interfacing photonic systems operating at different wavelengths.
Purpose of the Study:
- To demonstrate quantum frequency down-conversion of single photons from 904 nm to the telecom C-band (1557 nm).
- To verify the preservation of single-photon indistinguishability after the down-conversion process.
Main Methods:
- Experimental realization of quantum frequency down-conversion using an InAs/GaAs quantum dot.
- Hong-Ou-Mandel (HOM) interference measurements before and after down-conversion.
- Monte-Carlo simulations to analyze HOM experiments, considering time delays and signal-to-background ratio.
- Estimation of spectral diffusion impact on photon indistinguishability.
Main Results:
- Successful down-conversion of single photons from 904 nm to 1557 nm with high efficiency (> 30%).
- HOM interference measurements confirmed no loss of visibility after down-conversion.
- Simulations validated experimental results and quantified the impact of spectral diffusion.
Conclusions:
- The quantum frequency down-conversion process is noise-free and highly efficient.
- The demonstrated scheme is a promising source for generating indistinguishable single photons at telecom wavelengths.
- This work facilitates the integration of quantum dot sources with existing telecom infrastructure.
Related Concept Videos
Upsampling
682
Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
682
Downsampling
745
When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
745

