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20242026
most citedDivergence-free algorithms for solving nonlinear differential equations on quantum computers

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

quant-ph2026

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…

quant-ph2025

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…

quant-ph2024★ 1 cited

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…

quant-ph2024

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…

quant-ph2024

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…