Solid-State Quantum Memories for Near-Term Quantum Repeaters
Name
sutula-mmsutula-phd-eecs-2025-thesis.pdf
Description
Thesis PDF
Size
29.83 MB
Format
Adobe PDF
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3a9c410be7019cd95f9ad55f8a9752af
Author(s)
Sutula, Madison M.
Advisor(s)
Hu, Evelyn L.
Lukin, Mikhail
Date Issued
May 2025
Publisher
Massachusetts Institute of Technology
Abstract
Over the past decade, quantum computers have emerged as a promising technology to enable transformational advances in information processing and communication and solve problems that are intractable to classical computers. While there is great promise in linking quantum computers together over long distances via quantum channels, these technologies are still under development. Solid-state emitters with coherent spin-photon interfaces, long spin lifetimes, and narrow optical transitions are a leading platform for use as quantum memories in networked quantum repeaters. However, while such emitters have already enabled advanced quantum networking demonstrations in laboratory settings, applying these devices as useful memory devices at scale is a key outstanding challenge. In this thesis, we experimentally investigate solid-state quantum memories for quantum information applications. First, we develop experimental techniques to characterize solid-state emitters with high throughput, enabling both better understanding of the distribution of emitter properties and improved feedback on material preparation and device fabrication. Next, we implement quantum frequency conversion to create a coherent spin-photon interface between silicon-vacancy centers in diamond and optical photons in the low-loss telecom band. Finally, we investigate color centers in other engineering materials, including silicon and silicon carbide, to better understand the fundamental trade space of requirements for solid-state hosts. Together, these efforts represent a significant advance in creating, controlling, and deploying telecom-compatible spin interfaces, paving the way for memory-enabled quantum repeaters.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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