) quantifies how much the integrated cause/effect structure of the global neural network fails to be accounted for by any partitioned version of it. The holistic IIT approach is in principle applicable to any information-processing dynamical network regardless of its interpretation in the context of consciousness. In this paper we take the first steps towards a formulation of a general and consistent version of IIT for interacting networks of quantum systems. A variety of different phases, from the dis-integrated (

Φ=0

) to the holistic one (extensive

\logΦ

), can be identified and their cross-overs studied.

DOI: 10.48550/arxiv.1806.01421

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Quantum Integrated Information Theory.

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Comment on Albantakis et al. Computing the Integrated Information of a Quantum Mechanism. Entropy 2023, 25, 449

Christopher John Rourk

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Φ

Φ=0

) to the holistic one (extensive

\logΦ

), can be identified and their cross-overs studied.

\Phi

\Phi=0

) to the holistic one (extensive

\log\Phi

), can be identified and their cross-overs studied.

\Phi

), can modulate the decoherence time of proximal quantum systems. Methods: We outline an experimental protocol combining electroencephalography (EEG) measurements with quantum coherence measurements in superconducting qubits. Predictions: We predict statistically significant correlation between

\Phi

values and decoherence times (

r\approx0.75

p<0.001

), longer coherence during high-attention states, and reproducible effects across subjects and quantum platforms. Significance: Confirmation would establish consciousness as a physical variable with measurable effects on quantum systems.