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

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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