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Updated: Jan 11, 2026

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Generation and Coherent Control of Pulsed Quantum Frequency Combs
Published on: June 8, 2018
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Multi-Dimensional Spectroscopy with Intense Entangled Beams: Entanglement-Enabled Phase Matching in a Collinear Beam
Deependra Jadoun1,2, Upendra Harbola3, Vladimir Y Chernyak4,5
1Division of Chemical Physics and NanoLund, Lund University, 22362 Lund, Sweden.
The Journal of Physical Chemistry Letters
|November 13, 2025
Summary
This study introduces a method using intense entangled photons for quantum molecular spectroscopy, improving signal quality. The technique generates pure quantum signals in multi-dimensional spectroscopy, overcoming previous limitations.
Area of Science:
- Quantum optics
- Molecular spectroscopy
- Nonlinear spectroscopy
Background:
- Experimental quantum molecular spectroscopy faces challenges with low signal-to-noise ratios due to low-flux entangled photons.
- High-flux entangled photons improve signal quality but are often contaminated by unentangled photons, obscuring quantum signals.
Purpose of the Study:
- To demonstrate a method for utilizing high-flux entangled photons in multi-dimensional spectroscopy.
- To retain the benefits of photon entanglement while enhancing signal quality.
- To generate purely quantum spectroscopic signals applicable to odd-ordered nonlinear spectroscopies.
Main Methods:
- Employing intense entangled photon beams in multi-dimensional spectroscopy.
- Developing a technique compatible with odd-ordered nonlinear spectroscopies.
- Implementing a method that allows for collinear beam geometry for phase matching.
Main Results:
- Successfully demonstrated the use of intense entangled beams in multi-dimensional spectroscopy.
- Achieved purely quantum spectroscopic signals, free from contamination.
- Enabled phase-matched signal recording in a collinear beam geometry.
Conclusions:
- The proposed approach overcomes signal-to-noise limitations in quantum spectroscopy.
- It enables efficient multi-dimensional spectroscopy using intense entangled photons.
- The method simplifies experimental setups by allowing collinear geometries.
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