Matching Generalized-Bicycle Codes to Neutral Atoms for Low-Overhead Fault-Tolerance
Joshua Viszlai, Willers Yang, Sophia Fuhui Lin, Junyu Liu, Natalia Nottingham, Jonathan M. Baker, Frederic T. Chong

TL;DR
This paper introduces a protocol for implementing space-efficient generalized-bicycle quantum error correcting codes in atom arrays, significantly reducing qubit requirements and increasing logical cycle speed, advancing fault-tolerant quantum computing.
Contribution
It presents a novel protocol enabling efficient implementation of generalized-bicycle codes in atom arrays, reducing qubit overhead and improving logical cycle times compared to surface codes.
Findings
Generalized-bicycle codes require up to 10x fewer qubits than surface codes.
Logical cycles are 2-3x faster with the proposed protocol.
Spatial savings outweigh overheads in a hierarchical quantum memory architecture.
Abstract
Despite the necessity of fault-tolerant quantum sys- tems built on error correcting codes, many popular codes, such as the surface code, have prohibitively large qubit costs. In this work we present a protocol for efficiently implementing a restricted set of space-efficient quantum error correcting (QEC) codes in atom arrays. This protocol enables generalized-bicycle codes that require up to 10x fewer physical qubits than surface codes. Additionally, our protocol enables logical cycles that are 2-3x faster than more general solutions for implementing space- efficient QEC codes in atom arrays. We also evaluate a proof-of-concept quantum memory hier- archy where generalized-bicycle codes are used in conjunction with surface codes for general computation. Through a detailed compilation methodology, we estimate the costs of key fault- tolerant benchmarks in a hierarchical architecture…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Advanced Memory and Neural Computing · Quantum Information and Cryptography
