Skip to content
Log in
Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Po-Hsuan Huang

View on Semantic Scholar

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Book Open access Sep 2026

MillionQAOA: A Dividable QAOA Framework for Solving Million-Vertex-Scale Max-Cut Problems

Hybrid quantum-classical optimization has made the Quantum Approximate Optimization Algorithm (QAOA) a leading candidate for combinatorial optimization tasks, and Max-Cut stands out among them for its broad practical footprint and its clean reduction to QUBO and Ising form. Prior divide-and-conquer adaptations push QAO...

Xie-Ru Li, Po-Hsuan Huang, Chia-Heng Tu et al. · 0 citations
Open access Aug 2026

QCutSim: Accelerating Quantum Circuit Cutting Simulation on Consumer-Grade Classical Systems

Quantum computing has the potential to accelerate various fields by solving specific problems significantly faster than classical computers. Solving more complex problems generally requires a larger number of qubits. However, current quantum devices are constrained by limited qubit counts and environmental noise. Quant...

Po-Hsuan Huang, Chun-Yen Tai, Chia-Heng Tu et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.