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150 papers
Machine Learning-Driven Prediction of Lithium-Ion Battery Power Capability for eVTOL Aircraft
Hao Tu, Yebin Wang, Shaoshuai Mou +1
Electric vertical take-off and landing (eVTOL) aircraft have emerged as a promising solution to transform urban transportation. They present a few technical challenges for battery…
Application of Optimal Control to Time-Resolution Protocol for Quantum Sensing
Chungwei Lin, Qi Ding, Yanting Ma
Time-resolution protocol of quantum sensing aims to measure the fast temporal variation of an external field and demands a high field sensitivity in a short interrogation time .…
Security loophole in error verification in quantum key distribution
Toyohiro Tsurumaru, Akihiro Mizutani, Toshihiko Sasaki
The security of quantum key distribution (QKD) is evaluated based on the secrecy of Alice's key and the correctness of the keys held by Alice and Bob. A practical method for ensuri…
A Probability-guided Sampler for Neural Implicit Surface Rendering
Gonçalo Dias Pais, Valter Piedade, Moitreya Chatterjee +2
Several variants of Neural Radiance Fields (NeRFs) have significantly improved the accuracy of synthesized images and surface reconstruction of 3D scenes/objects. In all of these m…
Time-optimal single-scalar control on a qubit of unitary dynamics
Chungwei Lin, Qi Ding, Petros T. Boufounos +4
Optimal control theory is applied to analyze the time-optimal solution with a single scalar control knob in a two-level quantum system without quantum decoherence. Emphasis is \cha…
Range Image-Based Implicit Neural Compression for LiDAR Point Clouds
Akihiro Kuwabara, Sorachi Kato, Toshiaki Koike-Akino +1
This paper presents a novel scheme to efficiently compress Light Detection and Ranging~(LiDAR) point clouds, enabling high-precision 3D scene archives, and such archives pave the w…