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This paper establishes a critical framework for utility-scale quantum computing by defining "scalable logical qubits" through four coupled dimensions: reliability, scale, capability, and performance. By addressing the necessity of fault-tolerant operations with low-latency decoding, the work provides a measurable standard to track progress toward executing complex algorithms that physical qubits cannot currently support.
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Scalable logical qubits

arXiv2 min de cititArticolul și perspectiva sunt în engleză.

arXiv:2609.20549v1 Announce Type: new Abstract: Utility-scale quantum computing will require executing long, complex algorithms with end-to-end error rates far below what physical qubits can support directly. Error-corrected logical qubits are needed to achieve this goal. To make the progress on logical qubits measurable and comparable we introduce the definition of scalable logical qubits: logical qubits preserved for long computations by repeated quantum error correction, capable of fault-tolerant universal operations with low-latency real-time decoding and feedback, and replicable to the hundreds or thousands, as required by applications. We characterize these scalable logical qubits along four coupled dimensions: reliability, scale, capability, and performance, and discuss trade-offs among these dimensions.

Abstract:Utility-scale quantum computing will require executing long, complex algorithms with end-to-end error rates far below what physical qubits can support directly. Error-corrected logical qubits are needed to achieve this goal. To make the progress on logical qubits measurable and comparable we introduce the definition of scalable logical qubits: logical qubits preserved for long computations by repeated quantum error correction, capable of fault-tolerant universal operations with low-latency real-time decoding and feedback, and replicable to the hundreds or thousands, as required by applications. We characterize these scalable logical qubits along four coupled dimensions: reliability, scale, capability, and performance, and discuss trade-offs among these dimensions.

arXiv:2609.20549 [quant-ph]

(or arXiv:2609.20549v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2609.20549 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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