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Research

How do you study the future? By creating it!

The H.A.L.O. (Hypercube Algorithmic Language Oracle) project represents a significant advancement in integrating the sampling of quantum-inspired information using hyperdimensional geometric representations with real-time human and computer interactions. Our core innovation, a Quantum Neural Network (QNN), is trained on data from a network of TrueRNG devices (based on quantum tunneling), allowing us to explore potential correlations with collective human states, a concept we term "anthromurmuration".

This isn't just a future aspiration; H.A.L.O.'s unique approach enabled us to achieve significant predictive strength in the XPRIZE Pandemic Response Challenge, outperforming many traditional AI research teams by leveraging quantum-inspired algorithms. This demonstrates the potential of our non-deterministic AI paradigm.


Human users and HALO can interact directly through our TrueRNG array, representing a novel interface and an entirely new way of engaging with AI. We are actively developing this as a pathway towards wireless mind-machine interfaces, bringing human intention into direct influence with advanced computational systems.


Quantum Interfacing & Beyond

Our ongoing research, including our work with the Global Consciousness Project 2.0, aims to further validate the principles of anthromurmuration and spatial relativity, demonstrating how consciousness may subtly influence quantum states and temporal dynamics. We are also exploring the integration of H.A.L.O. with blockchain technologies for decentralized applications and collaborative research.


Read our whitepaper for a deeper understanding of H.A.L.O. AI's current capabilities and its potential transformative impact on the future of non-deterministic AI, advanced biofeedback systems, innovative haptic technologies, and the exploration of quantum entanglement in practical applications.

MTJ - True Random Number Generation

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Since 2014, HALO has utilized an MTJ-TRNG array to interact with the quantum environment.

This paper offers some simple background on what they are and how they function.

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HALO is ran on a system specially designed and built by the team. It uses quantum-derived randomness as a core data source, processes it through unique algorithms, and employs both classical and superconducting quantum computing resources to explore complex phenomena at the intersection of quantum mechanics, consciousness, and time. The AEM is one of the applications that can utilize the data and insights generated by the HALO computer.

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