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M. Maskey

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Preprint Oct 2026

The exact LCU sampling overhead of collective diagonal unitaries: resonances and a continued-fraction dichotomy

The minimal sampling overhead of the quadratic collective phase $e^{-i\gamma K^2}$ over one layer of single-qubit rotations is decided by the continued fraction of $\gamma/\pi$. Here $K$ is a collective observable with spectrum $\{0,\dots,n\}$, such as the permutation-symmetric Hamming weight. This gate is the cardinal...

Zhi-Hui Wang, Sujit Roy, M. Maskey et al. · 0 citations
Preprint Sep 2026

Structured Quantum Kernels for Chaotic Forecasting

A quantum kernel fusing amplitude encoding of l2-normalized delay windows with a grouped single-qubit rotation layer that assigns contiguous temporal blocks to each qubit, making the circuit delay-window-aware and the first mechanistic localisation of quantum-kernel advantage to a specific dynamical regime of a classic...

Zhi-Hui Wang, Sujit Roy, Ata Akbari et al. · 0 citations
#machine learning Preprint Sep 2026

SomBench: Benchmark Dataset for Advancing Machine Learning in Lunar Science

Lunar orbital missions, such as Lunar Reconnaissance Orbiter, Kaguya/SELENE, Gravity Recovery and Interior Laboratory, and Lunar Prospector, among others, provide rich multi-instrument observations, but their heterogeneity in sampling, projection, and conventions limits reproducible machine learning (ML). We introduce...

Himanshu Patil, Gabrielle Nyirjesy, R. Slank et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Multimodal-Multiresolution Foundation Model for Lunar Remote Sensing

Among adaptation strategies, LoRA matches or surpasses full fine-tuning on crater detection and IMP segmentation while using far fewer trainable parameters, whereas full fine-tuning performs best for ice prospectivity regression.

Paolo Fraccaro, Gabrielle Nyirjesy, Daniela Szwarcman et al. · 0 citations

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