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Towards early fault tolerance on a 2×N array of qubits equipped with shuttling

Abstract:
It is well understood that a two-dimensional grid of locally interacting qubits is a promising platform for achieving fault-tolerant quantum computing. However in the near future, it may prove less challenging to develop lower-dimensional structures. In this paper, we show that such constrained architectures can also support fault tolerance; specifically we explore a 2 ×𝑁 array of qubits where the interactions between non-neighboring qubits are enabled by shuttling the logical information along the rows of the array. Despite the apparent constraints of this setup, we demonstrate that error correction is possible and identify the classes of codes that are naturally suited to this platform. Focusing on silicon spin qubits as a practical example of qubits believed to meet our requirements, we provide a protocol for achieving full universal quantum computation with the surface code, while also addressing the additional constraints that are specific to a silicon spin-qubit device. Through numerical simulations, we evaluate the performance of this architecture using a realistic noise model, demonstrating that both surface code and more complex quantum low-density parity-check codes efficiently suppress gate and shuttling noise to a level that allows for the execution of quantum algorithms within the classically intractable regime. This work thus brings us one step closer to the execution of quantum algorithms that outperform classical machines.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1103/prxquantum.5.040328

Authors

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Institution:
University of Oxford
Division:
MPLS
Department:
Materials
Oxford college:
Exeter College
Role:
Author


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Funder identifier:
https://ror.org/019w4f821
Grant:
951852
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Funder identifier:
https://ror.org/0439y7842
Grant:
EP/T001062/1
EP/W032635/1
EP/Y004310/1


Publisher:
American Physical Society
Journal:
PRX Quantum More from this journal
Volume:
5
Issue:
4
Article number:
040328
Publication date:
2024-11-25
Acceptance date:
2024-10-16
DOI:
EISSN:
2691-3399


Language:
English
Pubs id:
2069376
Local pid:
pubs:2069376
Deposit date:
2025-04-04
ARK identifier:

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