Accurate models of real-world scenarios are crucial for effectively bridging theoretical and experimental research. However, developing these realistic computer models is a substantial task. It requires extensive data, code, and expertise across various complex fields to produce useful and comprehensive software.
Dr. Norbert Lütkenhaus, executive director of the Institute for Quantum Computing (IQC) and a professor in the University of Waterloo’s Department of Physics and Astronomy, and his research team have dedicated several years to developing precise software models for quantum key distribution (QKD) research.
QKD is a cryptographic process that utilizes fundamental principles of quantum mechanics to exchange secret keys, which can then ensure secure communication.
Lütkenhaus and his team have recently released a modular, open-source software package on GitHub. This tool enables users to model realistic QKD protocols and compute the generation rate for secure quantum keys using variables submitted by users for real-world scenarios.
“Modeling and analyzing QKD systems requires expertise in various fields. Our software framework allows specialists in optimization theory, optical modeling, and security analysis to contribute their knowledge,” Lütkenhaus explains. “The open-source model is intended to foster an interdisciplinary community that benefits all researchers.”
In developing their realistic models and protocols, the team tackled numerous complex challenges by breaking down the monumental coding task into smaller, manageable modules. This approach allowed them to leverage the diverse expertise of their members and involve collaborators with specialized knowledge.
“Realistic QKD models require extensive information across many domains, particularly when integrating experimental data or models we’re not experts in,” says John Burniston, lead developer of the software package and research associate at IQC. “Our software decomposes this massive task into smaller parts, making it less intimidating by allowing us to focus on solving individual components and integrating them.”
The modular design of the software also aids in teaching and training new researchers. Undergraduate students can work on specific modules, learning and optimizing one aspect of the QKD model while seeing how their contributions affect the overall system.
The new software package is a complete overhaul of a previous version released in 2021, now optimized for a better user experience. It features more granular modules and improved internal checks to validate inputs, making it easier to learn and integrate into research.
Currently, Lütkenhaus’ team is collaborating with various partners to develop new modules and apply their QKD modeling in experimental labs. They are working with Dr. Henry Wolkowicz and his team from Waterloo’s Department of Combinatorics and Optimization on numerical convex optimization, and with Dr. Thomas Jennewein and his group from IQC to model key rates for satellite QKD applications.
They also collaborate with other institutions to address a range of realistic modeling challenges. Their software models have already led to significant improvements in experimental key rates through these partnerships.
By releasing this software package as open source, the researchers aim to encourage collaboration within the QKD scientific community. They are planning an upcoming training session for global researchers, with details to be announced on the project website. The software package seeks to bridge the gap between theoretical research, mathematical proofs, experimental data, and device development.
“It’s exciting to combine software development with cutting-edge research,” Burniston says. “We’re providing a new tool to the community that will advance research and foster collaboration.”