Gabriel Axel Montes
Project OwnerGabriel will manage the project and leverage his relationship with the Hyperon team to facilitate rapport and mutual understanding between the quantum research and Hyperon team’s AI capabilities.
Mathematician–quantum scientist Lucija Grba and neuroscience-AI specialist and SingularityNET veteran Gabriel Axel Montes (Neural Axis) team up for a rigorous investigation of the pragmatic benefits of using quantum computing (QC) in advancing artificial general intelligence (AGI). Discriminating against potential benefits that call for unrealistic or untimely advancement in quantum hardware, this work will distinguish between realistically attainable results and hype. The efforts of testing and incorporating any uses of quantum computing identified through this research will be performed within the limits of the OpenCog Hyperon framework.
This RFP seeks to critically evaluate the role of quantum computing in advancing Artificial General Intelligence (AGI). The goal is to distinguish between realistic capabilities and hype, providing clear insights into the practical benefits and limitations of quantum computing for AGI architectures, particularly within the OpenCog Hyperon framework. Part of this should involve interacting with the Hyperon team who've built the existing and in-development MeTTa interpreters.
In order to protect this proposal from being copied, all details are hidden until the end of the submission period. Please come back later to see all details.
This milestone represents commencement of the research setting the stage for further project work. It will include a research plan and early-stage preliminary findings about potential project directions around quantum approaches and their possible applicability to AGI.
1. Submission of a comprehensive research plan outlining the quantum paradigms and implementations to be explored. 2. Early (preliminary) identification and analyses of several potential quantum approaches (e.g. quantum-classical hybrid computing entropy quantum computing (EQN) photonic reservoir computing etc.) and suggestions of their possible application areas within AGI systems. 3. Proposal of a detailed project plan including methodologies for evaluating the selected paradigms.
$16,000 USD
A foundation for further project research will have been attained, where the team has gathered a scope of potential QC approaches as well as possible AGI application areas, subject to refinement in later milestones.
At this stage the research will have amassed adequate mapping of QC capabilities allowing for distinguishing between reality and hype. This will enable painting a picture of how to pragmatically leverage QC to advance AGI. This stage precedes the identification of use cases.
1. Further fleshing out of the research findings in a text document containing additional information and details on the identified quantum paradigms. 2. Additional theoretical and practical findings on how quantum hardware could improve AGI system performance scalability or cognitive efficiency. This stage may optionally begin looking at existing quantum hardware e.g. QCI’s quantum computers and/or others to note (and cross-reference findings against) current market products that could be leveraged for AGI systems.
$16,000 USD
QC literature review and AGI-relevant analysis have progressed substantially, evidenced by a lengthened research text document (with bibliographic references). This is the step that will allow identification of potential use cases.
This stage will advance project research to a deeper analysis of AGI-relevant QC capabilities identifying opportunities related to performance efficiency scalability comparative analysis (to classical computing) reliability and so on. Relevant quantum hardware will be reviewed in particular products available on the market e.g. QCI’s quantum computers and/or others).
1. Updated documentation reflecting deeper analysis of QC paradigms AGI-relevant analysis performance considerations hardware opportunities and other considerations. 2. Review of quantum hardware including products available on the market. 3. Partial identification of potential use cases for QC in AGI including Hyperon/OpenCog.
$16,000 USD
At this stage, the research will have attained greater clarity over the applicability of QC to key AGI tasks, e.g. reasoning, pattern recognition, and resource allocation; and greater clarity over AGI performance.
This stage will have completed the scope of the “literature review and AGI-relevance analysis” phase of research setting the larger foundation for next-stage R&D using the insights from this research. This stage will provide clarity regarding where quantum and classical computing have dis/advantages and complementarities for specific AGI functions/tasks. This stage will have identified realistic use cases for QC in AGI including Hyperon/OpenCog. Enablements from completion of this project for future research could include acquisition of quantum hardware to conduct experiments utilization of quantum algorithms and QC methods to advance AGI functions/tasks including Hyperon components. This stage may include a high-level overview of possible cognitive enhancements for humans in the era of brain-computer interfaces (BCI) where humans and AGI are more closely coupled.
1. Detailed findings on the QC paradigms’ and quantum hardware’s impact on AGI performance scalability and computational efficiency. 2. Analysis on how quantum hardware meets or may enhance the computational requirements of the various cognitive modules of AGI including Hyperon. 3. Identification of realistic use cases for QC in AGI including Hyperon/OpenCog. 4. Further analysis of results pointing out possible integrations or further study paths for the selected hardware and QC paradigms and approaches. This may include potential suggestions for acquisition of quantum hardware or quantum cloud computing for experiments. 5. Optional: If not addressed in the previous milestone this stage would include a high-level explorative overview of how QC affordances may potentially enhance human (or human-AI–coupled) cognition that may open up in the future due to the ingress of brain-computer interfaces (BCI).
$16,000 USD
This stage will have separated reality from hype in QC potential for AGI tasks; elucidated the state of the art of QC paradigms and quantum hardware; how they can optimally enhance AGI and Hyperon (including vs. classical computing methods) functions, tasks, and performance, efficiency, scalability, reliability, etc; identified realistic use cases for QC in AGI, including within the Hyperon/OpenCog framework; and (optionally) intimated potential ramifications for human-AGI–coupled cognitive enhancements from QC in the coming era of BCI.
Reviews & Ratings
Please create account or login to write a review and rate.
Check back later by refreshing the page.
© 2025 Deep Funding
Join the Discussion (0)
Please create account or login to post comments.