Continuity mechanism for quantum qubits

Over the past seven weeks, I’ve shared a sequence of connected reports addressing practical quantum operation under realistic hardware conditions. The first report, Empirically Integrated Qubit Stability (P01–P23 + QE2 Framework), presented a large-scale empirical analysis of real qubit behaviour, including drift dynamics, shadow zones, and correlated error structures observed across multiple devices. The second report, introducing PULS as a preventive stabilization approach, showed how noise exposure and drift accumulation during active operation can be reduced by restructuring when and how qubits are driven. The third report completes this sequence as a Public Safe Continuity Report, addressing the residual effects that remain even after effective preventive stabilization. Taken together, these three reports describe a layered operational stability architecture: • Empirical stability characterization — identifying and quantifying real-world instability, drift cycles, and error correlation• Active stabilization (PULS) — reducing exposure to noise and slowing drift accumulation during operation• Operational continuity — limiting disruption and preserving meaningful execution when instability events still occur When evaluated as an integrated system, these layers produce measurable system-level effects: • ~80% reduction in accumulated operational downtime• ~60% reduction in downstream error impact• ~30% reduction in long error bursts and temporal clustering These improvements are achieved without introducing new logical assumptions or modifying quantum-mechanical constraints. The framework does not replace quantum error correction, but operates strictly in the pre-logical operational regime, and remains stable under stressed operating conditions. Rather than treating instability as a single phenomenon, this work shows it to consist of three distinct operational problems — empirical stability behaviour, active stabilization, and continuity under failure — each requiring its own dedicated layer. This report is published as a Public Safe Report. It presents architectural structure and system-level behaviour while intentionally excluding implementation parameters, control logic, and integration details. Those elements remain protected and are available only under appropriate confidentiality.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-14
DOI
https://doi.org/10.5281/zenodo.18248590
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
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article

Continuity mechanism for quantum qubits

Jos Aben
Zenodo (CERN European Organization for Nuclear Research)
Quantum Computing Algorithms and Architecture
article

Continuity mechanism for quantum qubits

Jos Aben
article en

Abstract

Over the past seven weeks, I’ve shared a sequence of connected reports addressing practical quantum operation under realistic hardware conditions. The first report, Empirically Integrated Qubit Stability (P01–P23 + QE2 Framework), presented a large-scale empirical analysis of real qubit behaviour, including drift dynamics, shadow zones, and correlated error structures observed across multiple devices. The second report, introducing PULS as a preventive stabilization approach, showed how noise exposure and drift accumulation during active operation can be reduced by restructuring when and how qubits are driven. The third report completes this sequence as a Public Safe Continuity Report, addressing the residual effects that remain even after effective preventive stabilization. Taken together, these three reports describe a layered operational stability architecture: • Empirical stability characterization — identifying and quantifying real-world instability, drift cycles, and error correlation• Active stabilization (PULS) — reducing exposure to noise and slowing drift accumulation during operation• Operational continuity — limiting disruption and preserving meaningful execution when instability events still occur When evaluated as an integrated system, these layers produce measurable system-level effects: • ~80% reduction in accumulated operational downtime• ~60% reduction in downstream error impact• ~30% reduction in long error bursts and temporal clustering These improvements are achieved without introducing new logical assumptions or modifying quantum-mechanical constraints. The framework does not replace quantum error correction, but operates strictly in the pre-logical operational regime, and remains stable under stressed operating conditions. Rather than treating instability as a single phenomenon, this work shows it to consist of three distinct operational problems — empirical stability behaviour, active stabilization, and continuity under failure — each requiring its own dedicated layer. This report is published as a Public Safe Report. It presents architectural structure and system-level behaviour while intentionally excluding implementation parameters, control logic, and integration details. Those elements remain protected and are available only under appropriate confidentiality.

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Quantum Computing Algorithms and Architecture
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Continuity mechanism for quantum qubits — Jos Aben · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS