An Architecture for Improved Surface Code Connectivity in Neutral Atoms
Joshua Viszlai, Sophia Fuhui Lin, Siddharth Dangwal, Jonathan M., Baker, Frederic T. Chong

TL;DR
This paper proposes a novel surface code architecture for neutral atom quantum computers that enhances logical connectivity and reduces overhead through interleaved logical qubits and lattice surgery, with scalability considerations.
Contribution
It introduces an architecture leveraging neutral atom connectivity to improve logical qubit operations and explores hybrid routing strategies for scalable quantum error correction.
Findings
Interleaved logical qubits enable all-to-all connectivity within groups.
Hybrid routing approach optimizes performance for different circuit scales.
Numerical simulations identify the crossover point between atom movement and lattice surgery.
Abstract
In order to achieve error rates necessary for advantageous quantum algorithms, Quantum Error Correction (QEC) will need to be employed, improving logical qubit fidelity beyond what can be achieved physically. As today's devices begin to scale, co-designing architectures for QEC with the underlying hardware will be necessary to reduce the daunting overheads and accelerate the realization of practical quantum computing. In this work, we focus on logical computation in QEC. We address quantum computers made from neutral atom arrays to design a surface code architecture that translates the hardware's higher physical connectivity into a higher logical connectivity. We propose groups of interleaved logical qubits, gaining all-to-all connectivity within the group via efficient transversal CNOT gates. Compared to standard lattice surgery operations, this reduces both the overall qubit footprint…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Quantum and electron transport phenomena
