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C12 and Thales have demonstrated a practical hybrid quantum-classical workflow for real-time radar tracking using carbon nanotube spin-qubits, achieving a 100x speedup over competing quantum annealers on specific benchmarks. This achievement highlights the viability of near-term processors with high connectivity to address exponential computational bottlenecks in multi-target tracking scenarios like Unmanned Traffic Management. The results underscore that partitioning complex problems into subproblems suitable for current hardware is a viable strategy for immediate industry application.
Source coveringQuantum Zeitgeist
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

C12’s carbon nanotube qubits tackle real-time radar challenge

Quantum Zeitgeist4 min read

C12 & Thales’ QuantumTrack, utilizing C12’s carbon nanotube spin-qubit processors, won the 2026 Quantum Effects Award.

C12 and Thales have received the 2026 Quantum Effects Award for QuantumTrack, a hybrid quantum-classical solution demonstrating a practical application of quantum computing in real-time radar tracking, the company says. The project achieved a speed improvement of 100 times over competing quantum annealers on a benchmark test, while matching the performance of the best classical solvers. These results were obtained on Callisto, C12’s quantum emulator, which faithfully reproduces the physical behavior of a processor with up to 20 qubits.…

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