Ready to build low-latency quantum applications without low-level hardware friction? 💻 Quantum error correction needs microsecond-scale feedback between quantum and classical hardware. This PennyLane demo shows how Backline (co-designed with @​AMD) routes QEC workloads across CPUs, GPUs, and FPGAs, all from Python. Start with a local CPU prototype, scale to remote GPUs and FPGAs, then write your own decoder in Triton. 👇 ↧ How to use PennyLane and Backline for low-latency quantum error cor... Learn how to scale quantum error correction from local CPU prototyping to remote FPGA and GPU execution using PennyLane, Backline, and custom Triton kernels.