Adapting classical infrastructure for quantum networks: challenges and solutions
The development of quantum networks marks a transformative advance in communication technologies, enabling communication security unattainable through classical signals and the interconnection of quantum computers, sensors, and devices at various scales. Leveraging classical telecommunication infrastructure, such as optical fibers and associated devices, is pivotal for practical quantum network implementation. The Washington Metropolitan Quantum Network Research Consortium (DC-QNet) is developing a quantum network testbed in the Washington, DC area based on this infrastructure. However, adapting classical systems for quantum networks introduces significant challenges, including crosstalk between classical and quantum channels, stringent synchronization precision demands, polarization drift in optical fibers, and the limitations of classical optical devices. We present experimental demonstrations of these challenges and novel solutions, including a new crosstalk characterization technique. Results are derived from real-world DC-QNet infrastructure, showcasing the feasibility and progress of quantum network implementation.
Authors
- Anouar Rahmouni (ORCID: https://orcid.org/0000-0002-3418-5790)
- Oliver Slattery (ORCID: https://orcid.org/0009-0009-8673-6628)
- Mheni Merzouki (ORCID: https://orcid.org/0000-0002-9267-5827)
- Abdella Battou (ORCID: https://orcid.org/0000-0003-3071-842X)
- Thomas Gerrits (ORCID: https://orcid.org/0000-0001-8135-1811)
- Ya-Shian Li-Baboud (ORCID: https://orcid.org/0000-0003-3234-4345)
- Xiao Tang
- Yicheng Shi (ORCID: https://orcid.org/0000-0001-8508-3797)
- Jing Su (ORCID: https://orcid.org/0000-0002-5321-1974)
- Lijun Ma (ORCID: https://orcid.org/0000-0002-7311-2631)
- Pranish Pranish
Institutions
- National Institute of Standards and Technology (US)
- University of Maryland, College Park (US)
Publication Details
- Published
- 2025-09-18
- DOI
- https://doi.org/10.1117/12.3062589
- Primary Topic
- Quantum Computing Algorithms and Architecture
- Type
- article
- Field-Weighted Citation Impact
- 0.00