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Reducing Trust Cost in Quantum Application Development Using AI
Katsuhiro Endo
Generative AI can be a powerful tool for supporting the design and implementation of quantum applications, whereas the burden of checking whether generated circuits realize the int…
Quantum-Accelerated Solution of Nonlinear Equations from Variational Principles
Katsuhiro Endo, Kazuaki Z. Takahashi
Nonlinear equilibrium problems derived from variational principles arise throughout physics and engineering, including structural mechanics, fluid dynamics, and electromagnetism. W…
Divergence-free algorithms for solving nonlinear differential equations on quantum computers
Katsuhiro Endo, Kazuaki Z. Takahashi
From weather to neural networks, modeling is not only useful for understanding various phenomena, but also has a wide range of potential applications. Although nonlinear differenti…
Optimizing a parameterized controlled gate using Free Quaternion Selection
Hiroyoshi Kurogi, Katsuhiro Endo, Yuki Sato +6
In variational quantum algorithms, parameterization is typically applied to single-qubit gates.In this study, we instead parameterize a generalized controlled gate and propose an a…
Function Smoothing Regularization for Precision Factorization Machine Annealing in Continuous Variable Optimization Problems
Katsuhiro Endo, Kazuaki Z. Takahashi
Solving continuous variable optimization problems by factorization machine quantum annealing (FMQA) demonstrates the potential of Ising machines to be extended as a solver for inte…