MIT Quantum Photonics Laboratory’s Post

In collaboration with MIT Lincoln Laboratory, in a new paper now published in #PhysicslReviewApplied, David Starling et. al. present a cryogenically compatible, fully packaged quantum emitter module with diamond color-center quantum emitters designed for quantum memory applications. full paper: https://lnkd.in/gMVCJ9XC Achieving scalable, long-lived quantum memory systems with optical interfaces is critical to realizing a practical quantum network. Diamond color centers have emerged as promising candidates due to their optical coherence and ability to integrate with scalable systems. However, developing a stable and efficient emitter module for network integration has posed major engineering challenges. In this paper, we demonstrate a robust, network-compatible quantum emitter module designed to operate at cryogenic temperatures and connect seamlessly with photonic integrated circuits (PICs) and optical fibers. Our approach combines silicon-nitride (SiN) PICs with diamond microchiplets containing silicon-vacancy (Si-V⁻) color centers, employing precise alignment and bonding techniques. This scalable architecture enables the integration of multiple optical quantum memories into emerging quantum network testbeds, facilitating applications in distributed quantum sensing and processing. The development of this module addresses two crucial challenges for scalable quantum networking: cryogenic stability and compatibility with heterogeneous integration. We believe this work brings us closer to practical, large-scale quantum networks and paves the way for advanced quantum repeater functionalities. Thank you National Science Foundation (NSF), Air Force Research Laboratory and Research Laboratory of Electronics at MIT for making this possible! #QuantumNetworking #QuantumMemory #QuantumEmitters #Photonics #DiamondColorCenters #ScalableQuantum

Fully Packaged Multichannel Cryogenic Quantum Memory Module

Fully Packaged Multichannel Cryogenic Quantum Memory Module

journals.aps.org

Hrijul Dey

AI Engineer| LLM Specialist| Python Developer|Tech Blogger

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