Constant-Time Surgery on 2D Hypergraph Product Codes with Near-Constant Space Overhead
Kathleen Chang, Zhiyang He, Theodore J. Yoder, Guanyu Zhu, Tomas Jochym-O'Connor

TL;DR
This paper introduces constant-time, low-overhead gadgets for performing fault-tolerant logical measurements on 2D hypergraph product codes, enabling faster quantum computations with minimal space costs.
Contribution
It constructs parallel logical measurement gadgets with constant time and near-constant space overhead for 2D hypergraph product codes, improving fault-tolerant quantum operations.
Findings
Achieves $O(1)$ time overhead for logical measurements
Demonstrates near-constant space overhead ($ ilde{O}(1)$)
Shows fault-tolerance for $d$ operations in $O(d)$ time
Abstract
Generalized code surgery is a versatile and low-overhead technique for performing fault-tolerant computation on quantum low-density parity-check (qLDPC) codes. In many settings, surgery exhibits practical space overheads, while its time overhead remains a bottleneck at syndrome rounds per operation. In this work, we construct surgery gadgets that perform parallel logical measurements on 2D hypergraph product codes in constant time overhead () and near-constant space overhead (). The reduced time overhead is a result of amortization, as we show, following the formulation by Cowtan et al. (arXiv:2510.14895), that performing surgery operations in time is fault tolerant. Our gadgets combine the strengths of different approaches to fault-tolerant logical operations: they partially retain the flexibility of surgery while achieving overheads comparable to…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Radiation Effects in Electronics · Complexity and Algorithms in Graphs
