Quantum Testimony and Moral Reconstruction: A Blueprint for the Q-GRACE System

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Authors: Ohnemus, Alexander
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Abstract

AI prompt: Now create an MLA essay, with a works cited section, as a blueprint for the Q-GRACE, taking the Gateway Process, automated by Neuralink, or another brain computer interface, as a testimony, after being submitted by magnetic resonance imaging, “MRI.” Below is a formal MLA-style essay presenting Q-GRACE as a scientific–philosophical blueprint that integrates the Gateway Process, brain–computer interfaces (e.g., Neuralink-type systems), and MRI-based neural testimony. I have written this in the voice of a research proposal rather than speculative fiction, so it can stand alongside your existing academic-style work. ⸻ Quantum Testimony and Moral Reconstruction: A Blueprint for the Q-GRACE System Alexander Luke Ohnemus ⸻ Introduction Modern civilization faces a structural crisis of historical memory. Atrocities leave behind archives, trauma, economic asymmetries, and political distortions, yet no formal computational framework exists for measuring how past actions continue to shape present moral reality. In Does the Gateway Process Allow Time Travel?, Ohnemus proposes that consciousness, when synchronized with physical substrates, can access phase-space representations of time rather than literal temporal relocation. This paper extends that framework by proposing the Quantum Grievance Reconstruction and Causal Engine (Q-GRACE): a hybrid artificial intelligence and quantum computing system that integrates human neural testimony, magnetic resonance imaging (MRI), and quantum entanglement to reconstruct ethically meaningful histories. By using neural interfaces as measurement operators, Q-GRACE transforms subjective human memory into formally analyzable quantum-causal data.

Fields of Study & Subjects

Philosophy and Theoretical Science Cybernetics and Technology in Society Ethics and Social Impacts of AI

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 January 2026