Memory-assisted multimode microwave-to-optical transduction
Microwave-to-optical quantum transducers will enable coherent interconnection between distant superconducting quantum devices. Ongoing explorations have shown promising results at single-photon levels. However, eliminating noise arising from the concurrence of weak transduced signals with intense pump pulses remains a challenge, requiring high-suppression filtering. Memory-assisted transduction offers a versatile noise-mitigation approach and enables on-demand retrieval of transduced signals. Here, we integrate a quantum memory protocol with transduction in a three-level atomic system. Leveraging zero-first-order Zeeman transitions at zero magnetic field, providing long optical and spin coherence times, and GHz-range hyperfine splitting, we use a low-doping concentration 171Yb3+:Y2SiO5 crystal at 30 mK. We achieve on-demand memory-assisted transduction with 0.4 (and 0.3) noise photons at a storage duration of 460 (and 620) μs. Further, we establish coherence via interference patterns and demonstrate multimode capacity, utilizing spin and optical inhomogeneous broadening. The on-demand retrieval enables qubit synchronization in quantum repeaters, while multimode capacity boosts entanglement generation rates. Current demonstrations of microwave-to-optical transduction suffer from noise due to the pump field. Here, the authors demonstrate memory-assisted microwave-to-optical transduction to avoid noise in a Yb:YSO crystal at 30 mK with zero B-field and multimode functionality.
Authors
- Ujjwal Gautam (ORCID: https://orcid.org/0009-0008-7391-2533)
- Daniel Oblak (ORCID: https://orcid.org/0000-0002-0277-3360)
- Nasser Gohari Kamel
- Sourabh Kumar
Institutions
- University of Calgary (CA)
Publication Details
- Journal
- Nature Communications
- Published
- 2026-08-25
- DOI
- https://doi.org/10.1038/s41467-026-77057-3
- Primary Topic
- Mechanical and Optical Resonators
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Government of Alberta
- Mitacs
- Alberta Innovates
- Natural Sciences and Engineering Research Council of Canada