1 citations · 1 across the 2 of their papers we have counts for
4 papers
Quantum Gradient Flow Algorithm for Symmetric Positive Definite Systems via Quantum Eigenvalue Transformation: Towards Quantum CAE
Yuto Lewis Terashima, Tadashi Kadowaki, Yohichi Suzuki +1
In this study, we propose the Quantum Gradient Flow Algorithm (QGFA), a novel quantum algorithm for solving symmetric positive definite (SPD) linear systems based on the variationa…
QCoder Benchmark: Bridging Language Generation and Quantum Hardware through Simulator-Based Feedback
Taku Mikuriya, Tatsuya Ishigaki, Masayuki Kawarada +9
Large language models (LLMs) have increasingly been applied to automatic programming code generation. This task can be viewed as a language generation task that bridges natural lan…
QuantumBench: A Benchmark for Quantum Problem Solving
Shunya Minami, Tatsuya Ishigaki, Ikko Hamamura +6
Large language models are now integrated into many scientific workflows, accelerating data analysis, hypothesis generation, and design space exploration. In parallel with this grow…
Generative quantum combinatorial optimization by means of a novel conditional generative quantum eigensolver
Shunya Minami, Kouhei Nakaji, Yohichi Suzuki +2
Quantum computing is entering a transformative phase with the emergence of logical quantum processors, which hold the potential to tackle complex problems beyond classical capabili…