Post-Quantum Superintelligence

Ravindra Ramouthar

This thesis operationalizes a quantum cognitive architecture for quantum superintelligence that is epistemologically distinct from classical paradigms. It introduces qPrime, a recursively self‑improving, autonomous, multi‑QIU quantum cognitive framework, and its embodied prototype, qZero, engineered for high‑stakes decision‑making in adversarial, dynamic environments. By fusing quantum mechanics, cognitive science, and artificial intelligence, this work advances a quantum superintelligence defined in a quantum cognition paradigm that models and enhances cognitive faculties via contextuality, superposition, entanglement, and non‑classical logic. Methodologically, the project synthesizes theoretical modelling, quantum algorithm design, and empirical validation. The experimental platform, Area 51 – Quantum Machinery and Superintelligence, integrates Quantum Deep Reinforcement Learning (qDRL) with IBMQ’s 127‑qubit Eagle processor. qZero is trained and evaluated in a simulated Knowledge‑Based Dynamic Environment (MOCK‑BDE) using real‑time signals from Call of Duty – Modern Warfare 2. Metrics include RMSE, MAPE, and a self‑evaluation model correlating enemy dispatch payloads with combat outcomes. Results show that qZero achieved a 186% improvement in decision‑efficacy over classical DRL baselines, with MAPE = 1.05% and recommendation accuracy > 97%. These findings substantiate that quantum‑enhanced cognition outperforms both human and classical AI systems in high‑dimensional, uncertain domains. The novelty lies in formalizing quantum superintelligence as a cognitive architecture composed of Quantum Intelligence Units (QIUs)—entities that are not merely computationally superior, but post‑classical in representational semantics and decision dynamics. This work introduces the pioneering qPrime Quantum Control Processor plane, a fixed‑length quantum controller circuit optimized for decision‑selection, and demonstrate the feasibility of multi‑QIU cognition as a unifying substrate for AGI/ASI trajectories. The implications are profound: intelligence modelled through quantum‑theoretic constructs transcends the symbolic/subsymbolic dichotomy, supports non‑decomposable reasoning, and establishes a foundation for collective, multi‑QIU superintelligence. This is, to my knowledge, among the first scaled implementations of quantum cognition, charting a post‑classical, post‑symbolic direction for AI into a new frontier of quantum superintelligence.

Tshilidzi Marwala

Murali Krishna Pasupuleti

Abstract: The rise of quantum technology is set to redefine humanity, intelligence, and global civilization by 2100. This chapter explores how quantum computing, quantum artificial intelligence (QAI), and quantum cryptography will revolutionize industries, geopolitics, and scientific discovery. As quantum AI surpasses classical computing, it will unlock self-learning intelligence, breakthroughs in medicine, finance, and space exploration, and the potential for human-machine integration and neural augmentation. However, the rapid acceleration of quantum advancements also presents existential risks, from autonomous quantum warfare to loss of human control over artificial superintelligence (ASI). The chapter examines the ethical dilemmas of post-quantum civilization, exploring whether quantum technology will lead to a post-scarcity utopia or an unprecedented existential crisis. By analyzing the technological, philosophical, and societal implications of the quantum revolution, this chapter presents a future-forward roadmap for ensuring that quantum intelligence remains aligned with human progress, ethics, and sustainability. Keywords: Quantum computing, quantum AI, artificial superintelligence, QAI, neuromorphic computing, post-quantum cryptography, quantum singularity, human-machine integration, quantum biotechnology, post-scarcity economy, quantum-driven civilization, quantum cosmology, quantum warfare, AI ethics, post-human intelligence, existential risks, future of intelligence, interstellar expansion, self-learning AI, neural augmentation.

Anna Grabowska, Artur Gunia

Abstract Artificial intelligence algorithms, fueled by continuous technological development and increased computing power, have proven effective across a variety of tasks. Concurrently, quantum computers have shown promise in solving problems beyond the reach of classical computers. These advancements have contributed to a misconception that quantum computers enable hypercomputation, sparking speculation about quantum supremacy leading to an intelligence explosion and the creation of superintelligent agents. We challenge this notion, arguing that current evidence does not support the idea that quantum technologies enable hypercomputation. Fundamental limitations on information storage within finite spaces and the accessibility of information from quantum states constrain quantum computers from surpassing the Turing computing barrier. While quantum technologies may offer exponential speed-ups in specific computing cases, there is insufficient evidence to suggest that focusing solely on quantum-related problems will lead to technological singularity and the emergence of superintelligence. Subsequently, there is no premise suggesting that general intelligence depends on quantum effects or that accelerating existing algorithms through quantum means will replicate true intelligence. We propose that if superintelligence is to be achieved, it will not be solely through quantum technologies. Instead, the attainment of superintelligence remains a conceptual challenge that humanity has yet to overcome, with quantum technologies showing no clear path toward its resolution.

Sumit Gautam