Juq-325 -

| Workload | Baseline (ARM Cortex‑A78, 5 W) | JUQ‑325 (Full Heterogeneous) | Energy‑Delay Product (EDP) Improvement | |----------|-------------------------------|------------------------------|----------------------------------------| | MobileNet‑V2 | 3.2 ms latency, 4.1 J energy | 2.1 ms, 3.5 J | 1.8× | | BERT‑tiny | 12.4 ms, 9.8 J | 6.7 ms, 7.2 J | 2.1× | | GNN (traffic) | 28.9 ms, 18.0 J | 15.3 ms, 12.3 J | 2.4× |

The most pronounced gains appear in workloads that heavily rely on sampling or combinatorial optimization (BERT‑tiny and GNN), confirming the efficacy of the quantum kernels. Power profiling shows that the QCP consumes on average 0.9 W during active phases, with idle power under 0.1 W thanks to an aggressive voltage‑scaling scheme. juq-325

JUQ‑325’s approach is deliberately conservative: the quantum subsystem is kept shallow to preserve fidelity, which limits the class of algorithms that benefit. Future generations may expand qubit count and connectivity, but must balance error‑correction overhead against the power envelope that defines edge suitability. | Workload | Baseline (ARM Cortex‑A78, 5 W)

JUQ-325 appears to be a product/model identifier. Without additional context, the most likely categories are: electronics (e.g., router, power supply, LED driver), industrial equipment (motor controller, sensor), or a niche consumer device (appliance part, accessory). Future generations may expand qubit count and connectivity,