• Quantum Holopedia

      • Quantum Holopedia ▽ Step 3 ~ Intellect Amplification Tunnels ~> Quantum networks
      • Quantum Holopedia ▢ Step 4 ~ Quantum Space Artilect ~> QuanT Therapy
      • Quantum Holopedia ⬠ Step 5 ~ Quantum Intellect Technology ~> Holo Personalized Therapy
      • Quantum Holopedia ⬡ Step 6 ~ Quantum International Intellect Amplification ~> Quantum IIA ~> Universum Consciousness
      • Quantum Holopedia ~ Step 7 ~ Quantum Universum Holo Consciousness ~> Quantum (Quant) Therapy
      • Quantum Holopedia ⯄ Step 8 ~ Quantum Personal Therapy ~> CET Quant
      • Database Network
      • Network Knowledge
      • Prediction
      • Predictive holo diagnostic data through quantum algorithms based deep learning algorithms and Factom Quantum Chain technology
      • Electromagnetic scans technology
      • Quantum Holopedia Tunnel Holotomography
      • Electromagnetic scans
      • EEG / MEG withfMRI
      • 3D images, holograms and bioholograms

    • Quantum Holopedia Step 1 ~ Quantum Artificial Intellect ~ Quantum Artilect

      • 1) The initial step is to create Quantum Artificial Intellect.
      • 2) Continuous advancements in Artificial Intelligence (AI) and deep learning technologies make it possible for computer quantum algorithms to tackle big data tasks such as medical diagnosis based on recognition of EEG, fMRI, MEG, fNIRS, X-Ray and Computerized Tomography scans and well as data from combined systems such as fMRI/EEG, MEG/EEG and fNIRS/EEG.
      • 3) Joint effort by AI and deep learning companies and institutes to collaborate and unify the work of their software may lead to the creation of Quantum Artificial Intellect.
      • 4) Telebiofeedback Artilect Holo biofeedback Artilect

    • Quantum Holopedia ∞ Step 2 ~ Factom Qtum ~ Proof of Work Quantum Factom Chains

      • 1) The next step is to apply Quantum Artificial Intellect to business projects.
      • 2) Quantum Holopedia creates a quantum network simulation in a distributed database managed in a peer-to-peer communication model using technologies such as Bitcoin, Ethereum and Factom Qtum’s dLoc by SMARTRAC [1, 2].
      • 3) Documents and files obtained in Consortium Quanticum projects, such as the results of fMRI EEG, MEG and PET 3D tomography, fMRI/EEG, MEG/EEG, fNIRS/EEG [3], are transmitted and processed on these networks and will be used as an analytical tool for big data and machine predictive learning.
      • 4) The purpose of this analysis is to detect anomalies in the area of quantum oscillations and to develop a statistical association of these anomalies for events observed in media, f.ex. social media interpreted using sentiment analysis quantum algorithms.