Automorphism gadgets in homological product codes
Noah Berthusen, Michael J. Gullans, Yifan Hong, Maryam Mudassar, Shi Jie Samuel Tan

TL;DR
This paper explores how automorphism symmetries in homological product codes enable logical operations and fault-tolerance, broadening the potential for practical quantum error correction beyond topological codes.
Contribution
It introduces a theoretical framework linking automorphisms of input codes to logical operations and fault-tolerance in homological product codes, including special cases with purely permutation-based operations.
Findings
Logical operations can be derived from automorphisms of input codes.
Automorphism gadgets can preserve code distance under certain conditions.
Classical codes with rich automorphisms fit into the proposed framework.
Abstract
The homological product is a general-purpose recipe that forges new quantum codes from arbitrary classical or quantum input codes, often providing enhanced error-correcting properties. When the input codes are classical linear codes, it is also known as the hypergraph product. We investigate structured homological product codes that admit logical operations arising from permutation symmetries in their input codes. We present a broad theoretical framework that characterizes the logical operations resulting from these underlying automorphisms. In general, these logical operations can be performed by a combination of physical qubit permutations and a subsystem circuit. In special cases related to symmetries of the input Tanner graphs, logical operations can be performed solely through qubit permutations. We further demonstrate that these "automorphism gadgets" can possess inherent…
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