Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Atomic quantum memory as a time-frequency processor

Mateusz Mazelanik, Adam Leszczyński, Michał Lipka, Michal P. Parniak, Wojciech Wasilewski

Published Jan 1, 2023• 0 citations
Publisher

Abstract

We introduce an atomic quantum memory with built-in spectro-temporal processing capabilities. We demonstrate temporal far-field imaging setup operating in a previously unexplored narrowband regime and show quantum-optimal measurement of frequency separation between two spectral lines.
DOI
10.1364/cleo_fs.2023.fw4j.4

Related papers

Super-Resolution Spectrometer Enabled by a Quantum-Memory-Based Time-Frequency Processor

Mateusz Mazelanik, Adam Leszczyński, Michal P. Parniak +1 more

We employ an optical quantum memory with build-in processing capabilities to demonstrate a quantum-optimal measurement of frequency separation between two narrow spectral lines.

Conference on Lasers and Electro-Optics Pacific Rim (CLEO-PR)•Jul 31, 2022•0 citations

Temporal imaging and super-resolved spectroscopy with a quantum memory

Michal P. Parniak, Mateusz Mazelanik, Adam Leszczyński +3 more

The concept of temporal imaging draws from the analogy between paraxial propagation of light in space and in dispersive media. So far, temporal imaging has been demonstrated with ultrafast light, corresponding to spectral precision in the THz range. In our quantum memory, we have implemented full spectral and temporal processing capabilities for ultra narrowband photons, which allow us to perform temporal imaging with MHz bandwidth and kHz precision. Implementation of this concept leads to many implications, which give rise to two distinct super-resolved spectroscopy schemes, inspired by recent developments in spatial super-resolved imaging. One scheme takes advantage of elaborate interference in the quantum memory, while the other uses optimized analysis of a homodyne detector traces. Overall, our approach not only brings temporal imaging to the previously untackled regime but also points to a variety of new schemes useful in quantum sensing.

Quantum Communications and Quantum Imaging•Jul 30, 2021•0 citations

Super-resolution spectrometer enabled by a quantum-memory-based time-frequency processor

Mateusz Mazelanik, Adam Leszczyński, Michal P. Parniak +1 more

We employ an optical quantum memory with build-in processing capabilities to demonstrate a quantum-optimal measurement of frequency separation between two narrow spectral lines.

Conference on Lasers and Electro-Optics Pacific Rim (CLEO-PR)•Jan 1, 2022•0 citations

Super-resolving frequency measurement with mode-selective quantum memory

Shicheng Zhang, Aonan Zhang, Ilse Maillette de Buy Wenniger +5 more

High-precision optical frequency measurement underpins modern science and technology, yet conventional spectroscopic techniques struggle to resolve sublinewidth spectral features. Here we introduce a platform for super-resolved frequency estimation based on a mode-selective atomic Raman quantum memory implemented in warm caesium vapour. By precisely engineering the light-matter interaction, the memory coherently stores the optimal temporal mode with high fidelity and retrieves it on demand, achieving mode crosstalk as low as 0.34%. To estimate the separation between two spectral lines, we experimentally measure the mean squared error of the frequency estimate, reaching a sensitivity of 1/20 of the linewidth and a (34 ± 4)-fold enhancement in precision over direct intensity measurements. This enhanced frequency resolution, combined with on-demand storage, retrieval and mode-conversion capabilities, establishes a pathway towards multifunctional memory-based time-frequency sensors and their integration within quantum networks.

arXiv:2506.20514•Nature Sensors•May 15, 2026•0 citations

Optical-domain spectral super-resolution via a quantum-memory-based time-frequency processor

Mateusz Mazelanik, Adam Leszczyński, Michal P. Parniak

Existing super-resolution methods of optical imaging hold a solid place as an application in natural sciences, but many new developments allow for beating the diffraction limit in a more subtle way. One of the recently explored strategies to fully exploit information already present in the field is to perform a quantum-inspired tailored measurements. Here we exploit the full spectral information of the optical field in order to beat the Rayleigh limit in spectroscopy. We employ an optical quantum memory with spin-wave storage and an embedded processing capability to implement a time-inversion interferometer for input light, projecting the optical field in the symmetric-antisymmetric mode basis. Our tailored measurement achieves a resolution of 15 kHz and requires 20 times less photons than a corresponding Rayleigh-limited conventional method. We demonstrate the advantage of our technique over both conventional spectroscopy and heterodyne measurements, showing potential for application in distinguishing ultra-narrowband emitters, optical communication channels, or signals transduced from lower-frequency domains.

arXiv:2106.04450•Nature Communications•Feb 4, 2022•50 citations

Temporal imaging for atomic single-photon systems

Mateusz Mazelanik, Adam Leszczyński, Michał Lipka +2 more

We demonstrate temporal far-field imaging based on ac-Stark spatial spin-wave phase modulation in a gradient echo memory. We achieve resolution of 20 kHz with MHz-level bandwidth and ultra-low noise enabling operation in the single-quantum regime.

Conference on Lasers and Electro-Optics Pacific Rim (CLEO-PR)•Jan 1, 2020•0 citations
The concept of temporal imaging draws from the analogy between paraxial propagation of light in space and in dispersive media. So far, temporal imaging has been demonstrated with ultrafast light, corresponding to spectral precision in the THz range. In our quantum memory, we have implemented full spectral and temporal processing capabilities for ultra narrowband photons, which allow us to perform temporal imaging with MHz bandwidth and kHz precision. Implementation of this concept leads to many implications, which give rise to two distinct super-resolved spectroscopy schemes, inspired by recent developments in spatial super-resolved imaging. One scheme takes advantage of elaborate interference in the quantum memory, while the other uses optimized analysis of a homodyne detector traces. Overall, our approach not only brings temporal imaging to the previously untackled regime but also points to a variety of new schemes useful in quantum sensing.
High-precision optical frequency measurement underpins modern science and technology, yet conventional spectroscopic techniques struggle to resolve sublinewidth spectral features. Here we introduce a platform for super-resolved frequency estimation based on a mode-selective atomic Raman quantum memory implemented in warm caesium vapour. By precisely engineering the light-matter interaction, the memory coherently stores the optimal temporal mode with high fidelity and retrieves it on demand, achieving mode crosstalk as low as 0.34%. To estimate the separation between two spectral lines, we experimentally measure the mean squared error of the frequency estimate, reaching a sensitivity of 1/20 of the linewidth and a (34 ± 4)-fold enhancement in precision over direct intensity measurements. This enhanced frequency resolution, combined with on-demand storage, retrieval and mode-conversion capabilities, establishes a pathway towards multifunctional memory-based time-frequency sensors and their integration within quantum networks.
Existing super-resolution methods of optical imaging hold a solid place as an application in natural sciences, but many new developments allow for beating the diffraction limit in a more subtle way. One of the recently explored strategies to fully exploit information already present in the field is to perform a quantum-inspired tailored measurements. Here we exploit the full spectral information of the optical field in order to beat the Rayleigh limit in spectroscopy. We employ an optical quantum memory with spin-wave storage and an embedded processing capability to implement a time-inversion interferometer for input light, projecting the optical field in the symmetric-antisymmetric mode basis. Our tailored measurement achieves a resolution of 15 kHz and requires 20 times less photons than a corresponding Rayleigh-limited conventional method. We demonstrate the advantage of our technique over both conventional spectroscopy and heterodyne measurements, showing potential for application in distinguishing ultra-narrowband emitters, optical communication channels, or signals transduced from lower-frequency domains.