菜单

关于 🐙 GitHub
arXiv 提交日期: 2026-04-15
📄 Abstract - Reachability Constraints in Variational Quantum Circuits: Optimization within Polynomial Group Module

This work identifies a necessary condition for any variational quantum approach to reach the exact ground state. Briefly, the norms of the projections of the input and the ground state onto each group module must match, implying that module weights of the solution state have to be known in advance in order to reach the exact ground state. An exemplary case is provided by matchgate circuits applied to problems whose solutions are classical bit strings, since all computational basis states share the same module-wise weights. Combined with the known classical simulability of quantum circuits for which observables lie in a small linear subspace, this implies that certain problems admit a classical surrogate for exact solution with each step taking $O(n^5)$ time. The Maximum Cut problem serves as an illustrative example.

顶级标签: theory machine learning
详细标签: quantum computing variational circuits optimization maximum cut classical simulability 或 搜索:

变分量子电路中的可达性约束:多项式群模内的优化 / Reachability Constraints in Variational Quantum Circuits: Optimization within Polynomial Group Module


1️⃣ 一句话总结

这篇论文发现,变分量子算法要精确找到系统的最低能量态,必须预先知道目标态在特定数学结构(群模)上的权重分布,这为某些问题(如最大割问题)提供了高效的经典替代算法,每一步计算仅需O(n^5)时间。

源自 arXiv: 2604.13735