Real-time quantum processing demands ultra-low-latency interaction with classical compute. This work presents the architecture behind Backline—an open platform built with AMD (@AMD) inside PennyLane (@PennyLaneAI) that delivers sub-3µs quantum-classical feedback loops. Read the full paper on arXiv: 📷 ↧ Python in the front, party in the Backline: compiling quantum workl... Moving from quantum research and development to production-grade, fault-tolerant quantum workload execution remains one of the most significant challenges facing quantum platform builders. While Python frameworks have enabled an easy entry point for quantum algorithm design, the low-latency requirements for real-time quantum error correction (QE...
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Real-time quantum processing demands ultra-low-latency interaction with classical compute. This work presents the architecture behind Backline—an open platform built with AMD (@AMD) inside PennyLane (@PennyLaneAI) that delivers sub-3µs quantum-classical feed
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