output
20172026
most citedFermionic Quantum Approximate Optimization Algorithm

18 citations

5 papers

cond-mat.stat-mech2026

Evaluating the solution performance of the augmented Lagrangian function on Ising machines

Shunsuke Awai, Takuro Itoh, Keita Takahashi +2

We apply the augmented Lagrangian function (ALF) as a formulation for Ising machines and evaluate its performance by time-to-epsilon (\mathrm{TT\varepsilon}). The ALF has been well…

quant-ph2025★ 2 cited

Systematic and Efficient Construction of Quadratic Unconstrained Binary Optimization Forms for High-order and Dense Interactions

Hyakka Nakada, Shu Tanaka

Quantum Annealing (QA) can efficiently solve combinatorial optimization problems whose objective functions are represented by Quadratic Unconstrained Binary Optimization (QUBO) for…

cond-mat.stat-mech2024★ 14 cited

Annealing-Assisted Column Generation for Inequality-Constrained Combinatorial Optimization Problems

Hiroshi Kanai, Masashi Yamashita, Kotaro Tanahashi +1

Ising machines are expected to solve combinatorial optimization problems faster than the existing integer programming solvers. These problems, particularly those encountered in pra…

quant-ph2023★ 18 cited

Fermionic Quantum Approximate Optimization Algorithm

Takuya Yoshioka, Keita Sasada, Yuichiro Nakano +1

Quantum computers are expected to accelerate solving combinatorial optimization problems, including algorithms such as Grover adaptive search and quantum approximate optimization a…

nlin.SI2017

Log-aesthetic Curves as Similarity Geometric Analogue of Euler's Elasticae

Jun-ichi Inoguchi, Kenji Kajiwara, Kenjiro T. Miura +3

In this paper we consider the log-aesthetic curves and their generalization which are used in CAGD. We consider those curves under similarity geometry and characterize them as stat…