White paper demonstrates engineering feasibility for a non-invasive brain-computer system, suggesting future implications.
Corresponding Main Paper: Cognitive Exoskeleton: Architecture, Physical Limits, and Roadmap (Finalized July 27, 2026) Relationship Between This White Paper and the Main Paper Cognitive Exoskeleton This white paper and the main paper Cognitive Exoskeleton: Architecture, Physical Limits, and Roadmap (finalized July 27, 2026) are two independent expressions of the same technical framework, sharing the same set of physical limits, literature anchors, and engineering judgments. This white paper focuses on engineering feasibility demonstration and physical limit projections. It does not include Chapter 7 (“Cognitive Sovereignty” protection architecture) or Chapter 9 (“Exploratory Mode”) of the main paper. For the complete ethical framework and scientific exploration boundaries, please refer to the main paper. Both documents are independent academic records, each with its own DOI. Readers may choose to cite either or both in parallel. Abstract This white paper presents a systematic engineering feasibility analysis for a non-invasive brain-computer interconnection system, integrating quantum magnetic sensing (SERF-OPM), focused ultrasound neuromodulation (tFUS), and satellite-based quantum key distribution (QKD). The analysis is anchored to published experimental data and established physical laws as of July 2026. Three hard constraints are derived: a non-invasive MEG sensitivity upper limit of approximately 10-16T/, an information-transfer-rate upper bound of 500 bit/s, and a daily memory writing capacity of 1–2 MB/day constrained by synaptic ATP costs. Based on these bounds, a phased engineering roadmap from 2028 to 2040 is constructed, covering thought typing, knowledge injection, silent dialogue, and intercontinental conscious interconnection. All projections are explicitly marked as established facts, engineering projections, or prospective visions. The framework remains compatible with the parallel research landscape as of July 2026, including Meta's Brain2Qwerty v2, Merge Labs' tFUS capitalization, and the NMPA BCI classification principle. This version further places the above engineering constraints within a cross-scale information-processing framework, demonstrating their isomorphism with the Bekenstein bound and the Landauer limit (Chapter 10), providing engineering-falsifiable criteria for the consciousness emergence threshold Φ⋅τdecoh ≥ C (Chapter 11), and supplementing failure criteria and exit mechanisms for the technology roadmap (Chapter 12).
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Jing Zhang (2026) studied this question.
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