Quantum Circuit Representation of Combinatorial Matrix Functions
Minhyeok Kang, Gwonhak Lee, Youngrong Lim, Joonsuk Huh

TL;DR
This paper unifies the representation of combinatorial matrix functions like permanents, hafnians, and loop-hafnians within a quantum spin system framework, enabling efficient quantum circuit simulation.
Contribution
It extends the Ising model to generate hafnians and loop-hafnians, unifying these functions in a single quantum spin model based on graph structures.
Findings
The model relates quantum spin dynamics to combinatorial matrix functions.
It enables simulation of the model with $ ext{O}(N^2)$ quantum gates.
The approach generalizes previous work on permanents in bipartite systems.
Abstract
Permanents, hafnians, and loop-hafnians are combinatorial matrix functions closely related to perfect matchings in graphs. These matrix functions arise in the quantum amplitudes of boson configurations in bosonic networks, and the classical hardness of computing them has been used to establish hardness arguments for boson sampling and Gaussian boson sampling. Remarkably, these matrix functions also appear in quantum spin systems. Previous work has shown that transition amplitudes in bipartite Ising and Heisenberg models are proportional to the permanent of the corresponding interaction matrix. Here, we extend the Ising interaction structure beyond the bipartite case to generate hafnians and loop-hafnians. This extension relies on the fact that the Ising model reflects the underlying graph structure and that each matrix function arises naturally from quantum superposition. In particular,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
