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20232026
most citedFast correlated decoding of transversal logical algorithms

1 citations · 1 across the 3 of their papers we have counts for

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quant-ph2026

Strategic Plan for Neutral Atom Quantum Computation

Adrian J. Menssen, Tout Wang, Michael Gullans +53

We present a strategic plan for neutral atom quantum computation, bringing together hardware development and theory advancements to achieve the goal of practical quantum advantage.…

quant-ph2025

The Fast for the Curious: How to accelerate fault-tolerant quantum applications

Sam McArdle, Alexander M. Dalzell, Aleksander Kubica +1

We evaluate strategies for reducing the run time of fault-tolerant quantum computations, targeting practical utility in scientific or industrial workflows. Delivering a technology…

quant-ph20251 cited

Fast correlated decoding of transversal logical algorithms

Madelyn Cain, Dolev Bluvstein, Chen Zhao +7

Quantum error correction (QEC) is required for large-scale computation, but incurs a significant resource overhead. Recent advances have shown that by jointly decoding logical qubi…

quant-ph2025

A distillation-teleportation protocol for fault-tolerant QRAM

Alexander M. Dalzell, András Gilyén, Connor T. Hann +5

We present a protocol for fault-tolerantly implementing the logical quantum random access memory (QRAM) operation, given access to a specialized, noisy QRAM device. For coherently…

quant-ph20257 cited

Resource Analysis of Low-Overhead Transversal Architectures for Reconfigurable Atom Arrays

Hengyun Zhou, Casey Duckering, Chen Zhao +5

Neutral atom arrays have recently emerged as a promising platform for fault-tolerant quantum computing. Based on these advances, including dynamically-reconfigurable connectivity a…

quant-ph2024

Snakes and Ladders: Adapting the surface code to defects

Catherine Leroux, Sophia F. Lin, Przemyslaw Bienias +4

One of the critical challenges solid-state quantum processors face is the presence of fabrication imperfections and two-level systems, which render certain qubits and gates either…