MQHE - MacroQuantum Human Engineering

Institution: Tâm Việt CTI / Tâm Việt EduEco
Date: Dec 2025

Abstract

Traditional education and training, built on a Newtonian mechanical mindset, often follows a linear logic: find errors → fix errors → repeat → reach a standard. This framework struggles to explain nonlinear “phase-transition” leaps such as the Khắc Hưng Phenomenon—a Multiple Guinness World Records achievement involving an extreme compound task: Shiva Tandava Stotram - Percussive Fingerstyle Guitar Cover.

This white paper proposes MQHE (MacroQuantum Human Engineering): a system-design perspective inspired by the spirit of the 2025 Nobel Prize in Physics, where macroscopic “non-classical” phenomena became observable through engineering the system conditions, aggressively filtering noise, and measurement discipline with independently measured parameters. CTI translates that spirit into human development and autism transformation through:

Observer Effect (observation shapes state) × G4DC ecosystem × IEE (Immersing–Embedding–Embodying) × 315V7/VEM 113V (Heaven–Earth–Human + bi-hemispheric integration) × CSPSM
→ producing LLEM Neural Superhighway, then hardening it via myelination engineering (adult activity-dependent myelination is strongly linked to motor skill formation; juggling-type training is frequently used as a demonstration context in neuroscience).

In CTI language, the target is “Coherence of 35 Trillion Cells”: whole-system coherence at the brain–body scale, developed in the Nobel-2025 spirit—a “delicate state” becomes stable only when it is engineered, noise-filtered, and measured rigorously.

Boundary statement: MQHE does not claim the brain is a Josephson circuit or that the brain uses physical quantum tunneling in the same way. MQHE is a systems engineering framework for training: coherence → level-states → controlled transitions → evidence-based measurement.

Keywords

CTI; MQHE; Observer Effect; G4DC; IEE; VEM 113V; 315V7; CSPSM; LLEM; Myelination Engineering; Fine Motor Skill Engineering; Interoception; Proprioception; Fascia; Autism transformation.

1. The Problem: Why “Newtonian Training” Cannot Explain Elite Nonlinear Shifts

315V7-type compound tasks (especially balance + juggling + head-object stabilization) require:

• fine motor skill engineering (precision micro-control) + timing + accurate catch/release
• axial stability and fast reset after error
• high noise tolerance: tiny deviations can collapse the whole system

Linear “error-fix” training often has three blind spots:

1. it sees the learner as a “bundle of deficits,” not a “bundle of talent signals”
2. it lacks a precise concept of state and state transition
3. it lacks measurement discipline: what exactly proves a level-shift has occurred?

2. MQHE: The Nobel-2025 Spirit as Training System Design Principles

The 2025 Nobel Prize in Physics recognized discoveries of macroscopic quantum mechanical tunneling and energy quantization in an electric circuit—a system large enough to hold, yet capable of non-classical behavior under the right conditions.

Khac Hung performing 31GP at the TechFest Vietnam conference.

CTI adopts three core design lessons (as principles, not literal brain physics):

• System design: design the ecosystem so the desired state has a “place to exist”
• Noise engineering: filter destabilizing noise (environmental, emotional, attentional, overload)
• Measurement discipline: define and track level-shift metrics (stability, reset time, noise tolerance)

Non-claim reaffirmation: MQHE is a human-training engineering framework, not a claim of quantum tunneling inside the brain.

3. CTI Observer Effect: Three Layers of Observation Form a Closed-Loop Upgrade System

CTI “moves the camera”:

• Traditional: observe weakness/error → fix weakness
• CTI: observe dominant talent signals → amplify → standardize into skill

The coach operates with four moves:
See → Name → Feed → Prove
(identify a talent signal → label it → dose it correctly → prove it with metrics)

(B) The Learner is both Observed and an Observer (Self + Peer) + IEE

Within G4DC, each learner is simultaneously:

• Actor: performs and generates real data
• Observer: watches peers using CTI observation discipline (describe, don’t judge; one variable per rep; short cue)

IEE is embedded as a pipeline:

• Immersing: absorb rhythm/standard/form inside the ecosystem
• Embedding: bidirectional feedback + correct dosing → pattern “locks in”
• Embodying: performance holds under noise → becomes identity-level behavior

(C) Self-Witness as the Internal Observer

A 15–30 second micro-loop after each rep:

1. Scan (breath, axis, rhythm, tension)
2. Label (name the state: tense/frozen/flow/axis drift)
3. Reset (one tiny correction, then re-attempt)

4. The Technical Heart: 315V7/VEM 113V = Bi-Hemispheric Integration × Heaven–Earth–Human

4.1 Bi-hemispheric integration (Interhemispheric coupling)

315V7 forces multi-channel coordination (axis + rhythm + visuomotor timing + bilateral control), increasing the demand for interhemispheric integration to coordinate complex sensorimotor patterns.

4.2 Heaven–Earth–Human as “three converging data buses”

• Heaven: head–neck/vestibular stabilization → holds the “frame”
• Earth: balance/proprioception → holds the “base”
• Human: fine motor skill engineering (hand–eye–timing) → micro-precision

When all three run concurrently, the nervous system cannot stay linear; it must reorganize state to maintain coherence.

4.3 A level-shift in emotional + logical information processing

Under high load, collapse often comes from conflict between:

• Amygdala threat activation (tension, freeze, rush, destabilization)
• PFC/ACC executive control (rhythm control, decision control, error monitoring, reset)

CTI uses talent-first cues + CSPSM micro-increments + self-witness to keep “PFC online,” allowing emotional regulation and task logic to co-exist.

5. CSPSM Engineering → LLEM Neural Superhighway

CSPSM is a closed-loop upgrade engine:
Baseline → add one small constraint (1–3%) → micro-iterations → surpass → consolidate → level up.

LLEM Neural Superhighway is measured by four core metrics:

1. Stability %
2. Error density
3. Reset time
4. Noise tolerance

6. Myelination Engineering: Hardening for Sustainable Fine Motor Skill Engineering

Adult activity-dependent myelination is strongly linked to motor skill acquisition, and skill training can be associated with measurable white-matter changes (juggling is a common demonstration domain).

CTI converts this into five operational hardening rules:

• Correct reps > many reps
• Spaced micro-sets + consolidation windows
• CSPSM overload 1–3%
• Controlled variability (enough noise for transfer, not enough to break coherence)
• Recovery engineering (sleep–breath–stress downshift as design variables)

7. Fascia–Proprioception–Interoception: The Sensory Infrastructure of Coherence

• Fascia: whole-body connective network that influences force transmission and sensory clarity
• Proprioception: position/movement sense—foundation of axis stability and force regulation
• Interoception: internal-state sensing—foundation of self-regulation and calm presence

CTI uses self-witness to turn interoception into a “dashboard,” enabling self-regulation rather than dependence on external correction.

8. Neuro-Architecture Layer: Amygdala – PFC/ACC – Basal Ganglia – Cerebellum

• Basal ganglia: habit learning and automatic sequence locking
• Cerebellum: error-based learning, timing optimization, internal models

CTI interpretation: 315V7 creates “right-dose error” conditions for cerebellar refinement, while CSPSM locks stable sequences into basal-ganglia automation.

9. EBP: The Khắc Hưng Phenomenon as “Living Data” of a Skill Phase-Transition

The Guinness record demonstrates not just strength, but integrated coherence: axis + rhythm + micro-precision + noise tolerance + fast reset. CTI treats this as strong EBP indicating that when ecosystem conditions are correctly engineered, elite-level states can become repeatable, not “mysterious exceptions.”

10. “Coherence of 35 Trillion Cells” — The Nobel-2025 Spirit at Whole-Body Scale

In CTI, “Coherence of 35 trillion cells” is operational language for whole-system brain–body coherence. Modern estimates place adult human cell count in the tens of trillions, so “35 trillion” functions as a meaningful CTI rounding and symbol.

The “Nobel-2025 spirit” here is explicit: stable macroscopic coherence is not achieved by slogans or mechanical repetition; it requires system engineering + noise filtering + disciplined measurement.

11. Application Implications: From Severe Autism to Human-Level “Class Shifts”

CTI frames severe autism (and many neurodevelopmental challenges) not primarily as “lack of knowledge,” but as state-coherence disruption: emotion–logic decoupling, weak interoception, weak proprioception, slow reset.

Therefore the intervention target is not “more information,” but state-based nervous system re-architecture via:
315V7 (Heaven–Earth–Human, bi-hemispheric integration) + G4DC/IEE + CSPSM + myelination engineering.

12. Limitations and Research Directions

1. Standardize CTI metrics (stability/reset/noise tolerance) for academic reporting.
2. MQHE is a systems design framework, not a claim of brain quantum tunneling.
3. Recommend longitudinal studies and appropriate controls to separate ecosystem effects, task effects, dosage, and recovery variables.

Conclusion

CTI introduces MQHE as a new training paradigm: inspired by the Nobel-2025 spirit of macroscopic state engineering—design the system, filter noise, measure rigorously—to rebuild human training from the ground up.

With Observer Effect × G4DC × IEE × 315V7/VEM 113V (bi-hemispheric integration, Heaven–Earth–Human) × CSPSM, CTI aims to produce:

• LLEM Neural Superhighway
• sustainable whole-system coherence (“Coherence of 35 trillion cells”)

The Khắc Hưng Phenomenon stands as a strong EBP signal that “class shifts” are achievable when conditions are engineered and measured correctly.