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August 13, 20260 citationsOpen Access

Google AI Achieves Quantum Error Correction Below Threshold, Enabling Scalable Logical Qubits — E8 Intelligence Research

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ACAndrew Stewart Caldin

Key Points

  • This research aims to demonstrate quantum error correction below the critical threshold to enable scalable logical qubits.
  • Utilized Deltaflow, a full-stack QEC system with over 10^4 reliable quantum operations.
  • Calculated error rates per operation and logical fidelity based on surface code.
  • Analyzed topological lattice structure related to toric code and Kitaev's anyon model.
  • Achieved error rate per operation below threshold of approximately 0.57%.
  • Established logical fidelity follows a power law relationship based on code distance.
  • Set a target of 10^6 quantum operations for practical computation viability.

Abstract

FINDING: Quantum error correction (QEC) milestone — Google AI demonstrates error suppression below threshold, enabling scalable logical qubits. | MATH: Key threshold constant: error rate per operation \ (p 10⁴ reliable quantum operations (QuOps). | MATH: Logical fidelity \ (F = 1 - L \), with \ (L c (p/pₓ₇) ^d/2 \). Target: \ (10⁶ \) QuOps for useful computation. | CONNECTION: Error suppression follows power law in code distance — Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence. com

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Cite This Study

Andrew Stewart Caldin (2026) studied this question.

synapsesocial.com/papers/6a7d76502b0e0cff3f63f96dhttps://doi.org/10.5281/zenodo.21883047
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