Vancouver-based quantum hardware provider Photonic Inc. and Microsoft have announced a technical collaboration to integrate Photonic’s distributed quantum computing models and Quantum Low-Density Parity Check (QLDPC) error correction algorithms into the open-source Microsoft Quantum Resource Estimator (QRE).
The initiative aims to enable researchers and software developers to accurately model physical qubit counts, execution runtimes, and networking overhead required to run fault-tolerant algorithms across modular, multi-chip quantum computing systems.
The joint project addresses a major gap in conventional QRE frameworks, which historically modeled monolithic, single-processor quantum computers.
Led by Paul Terry (Chief Engineering Officer, Photonic) and Matthias Troyer (Technical Fellow and CVP, Microsoft Quantum), the co-innovation project provides commercial and enterprise developers with realistic resource requirements for executing practical algorithms in chemistry, materials science, and cryptography before large-scale distributed quantum hardware goes live.
Review the official announcement via Photonic Newsroom here, explore open-source compilation tools at Microsoft Quantum Resource Estimator here, and inspect error correction benchmarks on Photonic SHYPS Whitepaper here.