Quantum Networks Entanglement Layer Research

The National Institute of Standards and Technology (NIST) is seeking quantum networks entanglement layer research support services to develop essential networking protocols, measurement techniques, and tools for quantum networking with a focus on improving entanglement distribution and stability. The solicitation requires a computer scientist with a Ph.D. to conduct research tasks including designing a quantum network optimizer, developing entanglement distribution protocols, and creating entanglement routing models for quantum networks. The contractor must demonstrate technical capability in machine learning, optimization algorithms, quantum networking, and software version control, with key personnel capable of developing entanglement routing algorithms supporting hundreds to thousands of concurrent source-destination pairs. Evaluation will be based on technical capability and price, with technical capability assessed on understanding of the Statement of Work, key personnel qualifications, and demonstrated prior experience within the last three years. Quotes must be submitted electronically to Jennifer Lohmeier by 10:00 AM ET on July 14, 2025, with an anticipated award by August 22, 2025, or earlier.

This opportunity is designated as a 100% small business set-aside under NAICS Code 541690 with a size standard of $19.0 million. The contract structure includes a firm-fixed price purchase order with a 12-month base period and one 12-month option period, totaling 24 months of potential performance starting August 29, 2025. The work will be performed as a full-time, 100% on-site position at NIST's Gaithersburg Campus in Gaithersburg, MD. Key deliverables include monthly progress reports, phase reports on network optimization and routing models, and a staff roster, with the contractor required to handle several terabytes of quantum channel telemetry data. The project involves developing a Quantum Network Optimizer that must achieve visibility above 0.90 and work with unclassified data not subject to export controls.