Batched high-rate logical operations for quantum LDPC codes

Fuente: arXiv
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Autori principali: Xu, Qian, Zhou, Hengyun, Bluvstein, Dolev, Cain, Madelyn, Kalinowski, Marcin, Preskill, John, Lukin, Mikhail D., Maskara, Nishad
Natura: Preprint
Pubblicazione: 2025
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author Xu, Qian
Zhou, Hengyun
Bluvstein, Dolev
Cain, Madelyn
Kalinowski, Marcin
Preskill, John
Lukin, Mikhail D.
Maskara, Nishad
author_facet Xu, Qian
Zhou, Hengyun
Bluvstein, Dolev
Cain, Madelyn
Kalinowski, Marcin
Preskill, John
Lukin, Mikhail D.
Maskara, Nishad
contents High-rate quantum LDPC (qLDPC) codes reduce memory overhead by densely packing many logical qubits into a single block of physical qubits. Here we extend this concept to high-rate computation by constructing \emph{batched} fault-tolerant operations that apply the same logical gate across many code blocks in parallel. By leveraging shared physical resources to execute many logical operations in parallel, these operations realize high rates in space-time and significantly reduce computational costs. For \emph{arbitrary} CSS qLDPC codes, we build batched gadgets with \emph{constant space-time overhead} (assuming fast classical computation) for (i) single-shot error correction, state preparation, and code surgeries (ii) code switching, and (iii) addressable Clifford gates. Using these batched gadgets we also construct parallel non-Clifford gates with low space-time cost. We outline principles for designing parallel quantum algorithms optimized for a batched architecture, and show in particular how lattice Hamiltonian dynamical simulations can be compiled efficiently. We also propose a near-term implementation using new self-dual Bivariate-Bicycle codes with high encoding rates ($\sim 1/10$), transversal Clifford gates, and global $T$ gates via parallel magic state cultivation, enabling Hamiltonian simulations with a lower space-time cost than analogous surface-code protocols and low-rate qLDPC protocols. These results open new paths toward scalable quantum computation via co-design of parallel quantum algorithms and high-rate fault-tolerant protocols.
format Preprint
id arxiv_https___arxiv_org_abs_2510_06159
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Batched high-rate logical operations for quantum LDPC codes
Xu, Qian
Zhou, Hengyun
Bluvstein, Dolev
Cain, Madelyn
Kalinowski, Marcin
Preskill, John
Lukin, Mikhail D.
Maskara, Nishad
Quantum Physics
High-rate quantum LDPC (qLDPC) codes reduce memory overhead by densely packing many logical qubits into a single block of physical qubits. Here we extend this concept to high-rate computation by constructing \emph{batched} fault-tolerant operations that apply the same logical gate across many code blocks in parallel. By leveraging shared physical resources to execute many logical operations in parallel, these operations realize high rates in space-time and significantly reduce computational costs. For \emph{arbitrary} CSS qLDPC codes, we build batched gadgets with \emph{constant space-time overhead} (assuming fast classical computation) for (i) single-shot error correction, state preparation, and code surgeries (ii) code switching, and (iii) addressable Clifford gates. Using these batched gadgets we also construct parallel non-Clifford gates with low space-time cost. We outline principles for designing parallel quantum algorithms optimized for a batched architecture, and show in particular how lattice Hamiltonian dynamical simulations can be compiled efficiently. We also propose a near-term implementation using new self-dual Bivariate-Bicycle codes with high encoding rates ($\sim 1/10$), transversal Clifford gates, and global $T$ gates via parallel magic state cultivation, enabling Hamiltonian simulations with a lower space-time cost than analogous surface-code protocols and low-rate qLDPC protocols. These results open new paths toward scalable quantum computation via co-design of parallel quantum algorithms and high-rate fault-tolerant protocols.
title Batched high-rate logical operations for quantum LDPC codes
topic Quantum Physics
url https://arxiv.org/abs/2510.06159