What question did this study set out to answer?

The aim is to develop a predictive algorithm for quantum error correction derived from industrial processes.

March 26, 2026Open Access

ALPHEUS: A Predictive Root-Cause Coherence Preservation Algorithm for Quantum Computing Derived from Industrial Blown Film Operations

Key Points

The aim is to develop a predictive algorithm for quantum error correction derived from industrial processes.
Developed the ALPHEUS algorithm based on blown film manufacturing principles.
Utilized predictive intervention before observable signals in qubit states.
Employed root-cause correction targeting noise sources.
Implemented distributed correction across multiple variables for noise minimization.
Tested on IBM_FEZ, a 156-qubit superconducting processor.
Achieved 82.4% fidelity on quantum hardware.
Surpassed existing algorithms like Surface Code and qLDPC in performance under the same conditions.
Demonstrated the effectiveness of multi-qubit correction phases in scaling.

Abstract

We present ALPHEUS (Adaptive Lip-Point Harvesting for Evasive Unified Stability), a novel quantum error correction algorithm derived from operational principles of industrial blown film manufacturing. The central insight is that a blown film bubble under perfect calibration can operate indefinitely — the analogous principle applied to a qubit states that decoherence is not inherent to the system but is the product of uncontrolled variations. ALPHEUS introduces four foundational principles: (1) predictive intervention at t = 0. 6T2 before any observable signal, (2) root-cause correction at the noise source rather than symptomatic correction on the qubit state, (3) distributed correction C/n across n available variables to minimize introduced noise, and (4) desynchronized multi-qubit correction phases to enable true scaling. Experimental validation on IBMFEZ (156-qubit superconducting processor, Job ID: d7101v8v5rlc73f6il0g) confirms ALPHEUS achieves 82. 4% fidelity on real quantum hardware — surpassing Surface Code (Google), qLDPC (IBM), Color Code (Quantinuum), and AlphaQubit (DeepMind) under equivalent conditions. Author: Edgar Juca, Independent Researcher.

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