Author

K. Cheong

2 papers indexed here

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Preprint Aug 2026

Quantum Incremental Learning with Mixed State Prototypes

This work introduces a novel quantum incremental learning framework based on trainable mixed-state prototypes that achieves high-dimensional feature concentration using a minimal number of qubits, while demonstrating lower computational complexity and robust representation in incremental learning tasks compared with cl...

Yu Wu, Qian-Li Zhou, Xin-Yang Deng et al. · 0 citations

Jul 2026

FibVLA: An Efficient Temporal Vision-Language-Action Model with Fibonacci Sampling

FibVLA is introduced, an efficient framework featuring temporal perception of long-context history and logarithmic hindsight sampling to both proprioceptive states and visual frames to capture long-term temporal dependencies with minimal redundancy.

Li Lin, Wujun Xu, Wei Meng et al. · arXiv.org · 1 citation