Towards early fault tolerance on a 2×N array of qubits equipped with shuttling
ORAL
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$\times$N array of qubits where the interactions between non-neighbouring 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 qLDPC 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.
*We would like to acknowledge the use of the University of Oxford Advanced Research Computing (ARC) facility in carrying out this work and specifically the facilities made available from the EPSRC QCS Hub grant (agreement No. EP/T001062/1). The authors also acknowledge support from EPSRC's Robust and Reliable Quantum Computing (RoaRQ) project (EP/W032635/1), and EPSRC's Software Enabling Early Quantum Advantage (SEEQA) project (EP/Y004310/1). This research has also received funding from the European Union's Horizon 2020 Research and Innovation Programme under grant agreements No 951852.
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Publication: arXiv:2402.12599
Presenters
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Adam Siegel
- University of Oxford