11 papers
Interpretable machine learning of magnetic transition temperature in Heusler magnets via hierarchical dependence extraction
Jean-Baptiste Morée, Ryotaro Arita, Juba Bouaziz
We employ interpretable machine learning to analyze the material dependence of the magnetic transition temperature in ferromagnetic and ferrimagnetic Heusler compounds. For o…
Intrinsic Computational Functionalism: From Observer-Relative Maps to Observer-Independent Structures
Shuqin Ma, Ryota Kanai
Anti-computational arguments show that externally imposed computational interpretations cannot ground consciousness, but they do not establish that all computational organisations…
Quantum optical synthesis of high-dimensional ultrafast frequency-bin qudits
Prasad Koviri, Tomoya Okita, Rina Yabumoto +6
Frequency modes of light are one of the most promising platforms that provide access to high-dimensional quantum states amongst different photonic degrees of freedom capable of hig…
Entropic crystallization of geometrically frustrated magnets on 1/1 approximant Tsai-type quasicrystal
Oscar Novat, Ludovic D. C. Jaubert, Masafumi Udagawa
We have studied the antiferromagnetic Ising model on the icosahedral bcc lattice, as a model system of 1/1 approximant Tsai-type quasicrystals. We addressed thermal equilibrium pro…
JaWildText: A Benchmark for Vision-Language Models on Japanese Scene Text Understanding
Koki Maeda, Naoaki Okazaki
Japanese scene text poses challenges that multilingual benchmarks often fail to capture, including mixed scripts, frequent vertical writing, and a character inventory far larger th…
Temporal-Mode Engineering for Multiplexed Microwave Photons and Mode-Selective Quantum State Transfer
Keika Sunada, Takeaki Miyamura, Kohei Matsuura +4
Quantum communication between distant superconducting qubits on separate chips using itinerant microwave photons has been studied to realize distributed quantum information process…