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January 25, 20260 citationsOpen Access

Quantum Turing Test paper bilingual

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JCJuan Sebastian Baena Cock

Key Points

  • The main aim is to provide a framework for assessing whether outputs from systems show structured behavior that is not merely random noise.
  • Framework development for the Quantum Turing Test
  • Evaluation of outputs based on statistical and structural properties
  • Analysis of coherence and reproducibility in reported results
  • Establishment of criteria for further investigation of observed structures
  • The Quantum Turing Test offers a transparent and reproducible assessment methodology
  • It distinguishes structured behavior from stochastic noise
  • The framework's agnosticism regarding the source of structure opens up diverse applications

Abstract

The Quantum Turing Test (QTT) is proposed as a heuristic framework for evaluating whether outputs generated by non-conventional physical or informational systems exhibit structured behavior distinguishable from stochastic noise. Unlike the classical Turing Test, the QTT does not attempt to infer intelligence, consciousness, or agency. Instead, the framework focuses on the statistical, structural, and parametric properties of decoded outputs, including coherence, reproducibility, sensitivity to parameter perturbation, and resistance to post-hoc tuning. The Quantum Turing Test is explicitly agnostic regarding the origin of observed structure and is designed to be transparent, reproducible, and falsifiable. This work presents the conceptual foundations, scope, and limitations of the Quantum Turing Test as a methodological filter for determining when an observed result warrants further investigation beyond random processes.

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Cite This Study

Juan Sebastian Baena Cock (2026) studied this question.

synapsesocial.com/papers/6975b28afeba4585c2d6dfaehttps://doi.org/10.5281/zenodo.18351638
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