Towards Early Fault Tolerance on a 2×N Array of Qubits Equipped with Shuttling

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 arch...

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Bibliographic Details
Main Authors: Adam Siegel, Armands Strikis, Michael Fogarty
Format: Article
Language:English
Published: American Physical Society 2024-11-01
Series:PRX Quantum
Online Access:http://doi.org/10.1103/PRXQuantum.5.040328
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Summary: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.
ISSN:2691-3399