Quantum Networks Entanglement Layer Research

Overview

This position is part of the National Institute of Standards and Technology (NIST) Professional Research
Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with
researchers at academic institutions on specific projects of mutual interest, thus requires that such
institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range
of backgrounds to work on scientific research in many areas. Employees in this position will perform
technical work that underpins the scientific research of the collaboration.

Qualifications

• A PhD in Electrical and Computer Engineering or a related field is required.
• Candidates should have research experience in one or more of the following areas: control and communication systems, convex/non-convex optimization, distributed and federated learning, dynamical networked systems; and with at least six (6) years of experience in theoretical and practical design and evaluation of machine learning and optimization algorithms for distributed systems and optimal network resource allocation.
• A solid understanding of quantum network engineering, control and queueing theories, mathematics is essential, with at least three (3) years of experience working on mechanisms for supporting end-to-end quality of services in an emerging networking technologies.
• Programming skills for control and communication systems and machine learning are required, with proficiency in languages such as MATLAB and Python, and with at least six (6) years of experience in independent design, efficient implementation, and testing of all aspects of optimization or machine learning algorithms in a testbed.
• Familiarity with quantum network components and simulators is expected.

Research Proposal

Key responsibilities will include but are not limited to:

• Characterize and develop models and optimizers for quantum network components.
• Design optimization and learning algorithms and protocols for entanglement routing in quantum networks.
• Prototype models, algorithms and experiments in simulated environments, and provide rigorous analyses and evaluations using measurement data from the project experimentation team.
• Maintain a detailed log of all prototypes, simulations and experimental activities.
• Share research findings through peer-reviewed journals, conferences, and presentations.