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quant-ph2026
Quantum phase classification via partial tomography-based quantum hypothesis testing
Akira Tanji, Hiroshi Yano, Naoki Yamamoto
Quantum phase classification is a fundamental problem in quantum many-body physics, traditionally approached using order parameters or quantum machine learning techniques such as q…
quant-ph2024
Statistical inference for quantum singular models
Hiroshi Yano, Yota Maeda, Naoki Yamamoto
Deep learning has seen substantial achievements, with numerical and theoretical evidence suggesting that singularities of statistical models are considered a contributing factor to…
quant-ph2024
Quantum Inception Score
Akira Sone, Akira Tanji, Naoki Yamamoto
Motivated by the great success of classical generative models in machine learning, enthusiastic exploration of their quantum version has recently started. To depart on this journey…