This milestone establishes the theoretical foundation for AGI implementation in QIP and informs subsequent development phases: (1) Identification and analysis of classical theories across symbolic connectionist evolutionary hybrid and cognitive architecture approaches including embodied and enactive cognition Bayesian models probabilistic reasoning and thermodynamic or physicalist frameworks. (2) Exploration of frameworks such as UAI AIXI and recursive self-improvement models alongside computational neuroscience and hypercomputational proposals. (3) Commencement of QIP fundamentals analysis highlighting natural compatibility with graphical frameworks like Hyperon’s Atomspace and MeTTa language. (4) Examination of classical-to-quantum extensions assessing AGI theories implementable on quantum systems and the consequences of such transitions including changes in formal semantics epistemic frameworks and theories of agency and environment interaction. (5) Prioritization of AGI paradigms based on their feasibility for quantum implementation focusing on theories aligning with OpenCog Hyperon models. (6) Comparative study of AGI paradigms in relation to classical machine learning statistical theories and metrics like generalization merit to evaluate their potential effectiveness in QAGI contexts. (7) Analysis of simulation design principles (code stack and doc. plan) for numerical simulations of AGI and QAGI components using multi-qubit and qudit systems.

Research plan: finalization of research plan with stakeholders. This will comprise a comprehensive detailed proposal for assessing QAGI paradigms and implementations identified above. This should include the identification and analyses of several options for realization of quantum computing including photonic superconducting topological entropy-based proposals trapped ion silicon and others and their possible application to AGI systems. We will also include option for running simulations of low-dimensional multi-qubit systems as a means of studying component-wise AGI-related subroutines (and learning protocols) in a quantum context. Literature review: commencement of an in-depth review of existing research on AGI. This will cover each Stage identified above: Stage 1 – Review of theories of AGI; Stage 2 – Review of theories of quantum information processing; Stage 3 – Theoretical analyses of impact of QIP on AGI (classical and quantum); Stage 4 – Analyses of quantum hardware proposals for realisation of classical/quantum AGI The first milestone will focus on commencing Stages 1 and 2 of the review. Simulations: We will also initiate a workstream for co-development with the Hyperon and MeTTa development team of simulation design principles for testing core components of such AGI theories using multi-qubit and qudit systems including with technical laboratories and via online cloud quantum platforms.

$20,000 USD

Finalize research plan meeting the above specification, approved by all stakeholders. Commence the in-depth review.

This milestone establishes a framework for evaluating the feasibility scalability and theoretical grounding of AGI in quantum environments. This includes analysis of: (1) Core quantum mechanics and QIP theories incl. axiomatic treatments of Hilbert spaces quantum evolution measurement superposition and entanglement; (2) Quantum computational principles covering quantum algorithms (e.g. quantum Fourier transform simulation) data encoding techniques and complexity class relationships; (3) Quantum communication protocols including entanglement cryptographic methods (e.g. QKD) and distributed quantum system architectures; (4) Quantum sensing techniques including quantum instruments continuous measurement protocols and their relevance to AGI interaction with environments; (5) Quantum error correction methods (e.g. surface codes stabilizer codes) and their impact on reliable computation; (6) Quantum machine learning (QML) models including hybrid systems (variational circuits quantum neural networks) and constraints like barren plateaus and entanglement effects; (7) Theoretical constraints (e.g. no-cloning thermodynamic limits) and physical QIP realizations including photonic superconducting and trapped ion substrates; (8) Integration of quantum foundational theories (e.g. Bell’s theorems many-worlds hypotheses) and metaphysical concepts (e.g. identity individuation) to frame AGI’s ontological and epistemological basis.

Deliverables for this milestone to include: Literature review: completion of Stages 1 and 2 of the literature review representing a continuation of our in-depth review of existing research on quantum computing technologies. We will also have identified the structural pathway for our Stage 3 analysis including specific theorems we believe are of benefit to prove and candidate hypotheses regarding AGI and quantum integration for testing via numerical simulation. These will explore the implications of the above for AGI- relevant tasks including reasoning pattern recognition and resource allocation. Simulations: We will also look to begin implementation in concern technical simulation of certain AGI-related subroutines on classical simulations of one or two-qubit systems. Classical simulation of open quantum systems rapidly becomes infeasible however it is common in QIP research to simulate simple systems and then theoretically consider how they scale.

$20,000 USD

Completion of Stages 1 and 2 as above, which should be sufficient to begin writing papers, to a standard meeting the approval of stakeholders.

Completion of Stage 3 and commencement of Stage 4 integrating the results of Stages 1 and 2 to evaluate the impact of quantum information processing (QIP) on AGI. This milestone addresses two key issues: (a) the algorithmic consequences for implementing classical AGI on quantum computers and (b) the emergence of new theories or characteristics unique to QAGI that are fundamentally distinct from classical approaches. The analysis includes: (1) A systematic exploration of how QIP principles (e.g. superposition entanglement) influence classical AGI tasks such as reasoning pattern recognition and resource allocation identifying areas where quantum computing provides novel advantages. (2) Development of metrics and a framework to assess the efficacy of AGI theories (focusing on Hyperon) implemented on quantum devices including scalability generalization and task-specific performance. (3) Examination of prospective QAGI characteristics such as unique learning paradigms computational resource distribution and quantum-enhanced decision-making highlighting differences from classical AGI. (4) Identification and simulation of realistic scenarios where quantum computing’s exponential capabilities and its ability to overcome classical scaling barriers such as thermodynamic limits enable AGI components to handle massive workloads. This milestone sets the theoretical groundwork for evaluating the implementation of AGI theories on quantum hardware/implementation.

Our deliverables will include: (1) Literature review: completion of Stage 3 and development of analytical framework for Stage 4 (quantum hardware). This will identify use cases: Highlight specific realistic scenarios where quantum computing may support Hyperon AGI components with massive workloads. (2) Research report and papers: First drafts of research report and drafts of academic papers drawn from our analyses; (3) Simulations: first working simulations testing hypotheses generated via our literature review and other research. At this stage we intend to bed-down our simulations of the theoretical integration of Hyperon AGI and QIP. With this done we then intend to design modifications and environments simulating quantum hardware systems in order to assess how those core components or subcomponents of interest to Hyperon AGI/QAGI fare on different quantum architectures.

$20,000 USD

A useful analytical framework for evaluating quantum hardware and first drafts of papers should be completed, and of an appropriate standard to meet the approval of stakeholders.

The final milestone involves completion of Stage 4 (and thus the main imperative of the project) which evaluates practical hardware and systems for QAGI integrating results from Stages 1–3 to assess how quantum computing architectures influence the feasibility and realization of AGI theories with a specific focus on Hyperon and MeTTa protocols. A taxonomic framework will be developed to compare leading quantum architectures including superconducting circuits trapped ions photonic systems topological qubits neutral atoms quantum dots silicon-based qubits diamond NV centers molecular quantum computing and hybrid approaches. The framework will evaluate these architectures on modularity computational effects error correction scalability robustness controllability and economic feasibility. Analysis will address how physical substrates impact AGI implementation exploring their compatibility with classical and QAGI theories. Differences in hardware capabilities—such as scaling beyond thermodynamic limits resistance to noise or suitability for specific AGI tasks like reasoning and pattern recognition—will be highlighted. This milestone provides a comparative assessment of architectures identifying their strengths and weaknesses for AGI and establishing a foundation for realizing QAGI.

(1) Finalisation of research report into QAGI and the implementation of Hyperon-based AGI on quantum hardware platforms; (2) Finalisation of preprint versions of journal articles with submission proposals to relevant journals. We will be aiming to produce academic publications based upon research from the main QAGI report; (3) Simulation development extension in order to simulate (to the extent possible) how classical and quantum AGI protocols vary when implemented on different quantum hardware systems. This involves implementing a simulation of those physical systems and then considering how AGI and QAGI may be implemented via adaptations in order to identify strengths and weaknesses. We also expect to have accompanying code documentation for these simulations available for other researchers (similar to other projects we have run with code bases and repositories). (4) Research recommendations: here we will provide clear recommendations on areas for further study or potential experimentation with quantum computing in AGI. We will focus on practical commercialisable pathways toward QAGI. Our report will contain limited analysis of the economic feasibility and other issues arising that we believe are important when strategically identifying pathways to QAGI.

$20,000 USD

Stakeholder approval. Recommendations should be concrete and actionable. Preprints should be of a high standard.