Accurate and low-latency quantum state discrimination is essential for protocols involving mid-circuit measurement (MCM) and conditional feed-forward. In superconducting quantum systems, conventional readout pipelines transfer measurement data to host processors for post-processing, introducing millisecond-scale delays that far exceed qubit coherence times.

This paper introduces WISP, a printable graphene-based wearable system that enables truly imperceptible micro-gesture recognition with sub-10mm finger movements—up to 4 × smaller than existing approaches. While conventional gesture systems require conspicuous hand motions that disrupt social interactions, WISP detects subtle pinch-like micro-gestures that are virtually invisible to observers yet produce distinct force signatures at the wrist through tendon and skin deformation. Our co-designed hardware-software pipeline leverages Laser-Induced Graphene (LIG) technology to create ultra-thin, skin-conformal strain sensor arrays that can be fabricated on-demand using standard laser cutters and achieves 100μVpp noise floor while consuming only 10mW power. Evaluation with 19 participants demonstrates 99.2% hotword detection, 90.2% user-specific recognition, and 82.9% cross-user generalization. WISP maintains high accuracy across real-world conditions including walking and various clothing scenarios, scales to 12-gesture vocabularies, and extends to context-aware object interactions with 93.8% accuracy.