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.
Main purpose
To conduct a comprehensive literature review on quantum computing technologies, evaluating their realistic potential to enhance AGI development within the OpenCog Hyperon framework. The goal is to identify practical applications while distinguishing between genuine capabilities and speculative hype, guiding future research directions.
Long description
Context and Background: The SingularityNET Foundation, in collaboration with the OpenCog Foundation and TrueAGI, is advancing scalable AGI development through the OpenCog Hyperon framework. As AGI systems evolve, quantum computing is frequently cited as a potential accelerator for AGI tasks. However, the distinction between the real capabilities of quantum computing and the speculative hype around its potential remains unclear.
This RFP seeks to conduct a comprehensive literature review and analysis of current quantum computing technologies and their potential relevance to AGI. The research will focus on assessing the various quantum computing implementations to determine:
Which, if any, already potentially offer realistic and measurable benefits to AGI development. If such do offer such benefits, in what way(s);
Which, if any, will potentially offer realistic and measurable benefits to AGI development in the very near to near future. If such do offer such benefits, when and in what way(s);
And whether or not the applicability of quantum computing is overstated.
This study is critical for guiding future AGI research and development efforts toward the most promising technologies.
The goal of this project is to: Collect and analyze research on the current state of quantum computing as it pertains to AGI, specifically evaluating the potential of the different types to improve key AGI components within the Hyperon framework. This study will differentiate between realistic opportunities and hype, providing a clear path for further research.
Collaboration: This RFP may lead to subsequent RFPs focusing on experimental testing of quantum computing technologies in AGI applications or exploring hybrid quantum-classical systems for AGI tasks.
RFP Expected Outcomes:
An evaluation of:
MeTTa, MeTTa compilers, and Hyperon technologies and how current hardware may fail to provide required or optimal processing among the various cognitive modules. This should involve interacting with the Hyperon team who've built the existing and in-development MeTTa interpreters.
Quantum computing and its potential applicability to AGI – particularly to the various AGI components, separately and together, and how they may address the shortcomings of current state of the art hardware for the respective computational requirements.
Identification of realistic use cases for quantum computing in AGI, particularly within the OpenCog Hyperon framework.
Clear differentiation between speculative hype and genuine quantum computing potential for AGI tasks.
Recommendations for further research on quantum computing in AGI.
Functional Requirements
Literature review: Conduct an in-depth review of existing research on quantum computing technologies, including quantum gates, annealers, and hybrid systems. This research may be challenging and involve setting up meetings, talking to the engineers, getting internal presentations, etc.
AGI-relevant analysis: Assess the applicability of quantum computing to key AGI tasks, such as reasoning, pattern recognition, and resource allocation.
Identify use cases: Highlight specific, realistic scenarios where quantum computing may support AGI components with massive workloads..
Research recommendations: Provide clear recommendations on areas for further study or potential experimentation with quantum computing in AGI.
Non-functional Requirements
Accuracy and credibility: Research must draw from reputable, peer-reviewed sources and authoritative reports.
Comparative analysis: Provide comparisons between quantum and classical computing systems, focusing on performance metrics like speed, efficiency, and scalability in AGI contexts.
Integration potential: Assess the feasibility of integrating quantum computing with existing AGI systems, particularly the Hyperon framework.
Scalability: Evaluate the potential for quantum technologies to scale within decentralized AGI infrastructures.
Maturity and reliability: Review the maturity and reliability of quantum technologies for practical use in AGI research.
Energy efficiency: Analyze energy consumption and sustainability compared to classical systems.
Cost considerations: Discuss potential future costs of implementing quantum solutions in AGI development.
Main evaluation criteria
Alignment with requirements and objective
Does the proposal meet the requirements and advances the objectives of the RFP
Pre-existing R&D
Has the team previously done similar or related research or development work in other platforms / languages / contexts?
Team competence
Does the team have relevant skills?
Cost
Does the proposal offer good value for money?
Timeline
Does the proposal include a set of clearly defined milestones?
We highly recommend submitting proposals with project milestones along the lines of the following:
Milestone 1: Identification of quantum paradigms and research plan Deliverables: Submission of a comprehensive research plan outlining the quantum paradigms and implementations to be explored. This should include the identification and analyses of several potential quantum approaches (e.g., quantum-classical hybrid computing, entropy quantum computing (EQN), photonic reservoir computing, etc.) and their possible application areas within AGI systems. Proposal of a detailed project plan, including methodologies for evaluating the selected paradigms. 25% of grant
Milestone 2: Demonstration of substantial research progress Deliverables: Evidence of substantial progress in the research phase, showcasing deeper analysis of the identified quantum paradigms. This should include initial theoretical or practical findings on how quantum hardware could improve AGI system performance, scalability, or cognitive efficiency. 25% of grant
Milestone 3: Continued demonstration of deeper research progress Deliverables: Continued demonstration of progress with a focus on substantial analysis and refinement of the quantum paradigms under investigation. Updated documentation should reflect research findings, along with any modifications to the proposed quantum solutions or their potential roles within AGI components. 25% of grant
Milestone 4: Final Stages of Research Progress
Deliverables: Completion of the research phase. This milestone should reflect the maturing of the research efforts, including detailed findings on the hardware paradigms’ impact on AGI performance, scalability, and computational efficiency. Further analysis of results suggesting integration or further study paths for the selected hardware paradigms and approaches. 25% of the grant
Other resources
Hyperon and related AI-platforms are quickly evolving! This is a bit of a moving target, but the internal SingularityNET team will be available for help and expert advice, where needed. Also included:
Educational materials and resources for learning MeTTa
SingularityNET holds MeTTa study group calls every other week. Proposers are welcome to attend for support from our researchers and community.
Recurring Hyperon study group calls for community are currently being planned. These will cover MOSES, ECAN, PLN, and other key components of the OpenCog and PRIMUS Hyperon cognitive architectures.
Access to the SingularityNET World Mattermost server, with a dedicated channel for discussion and support among the RFP-winning teams and SingularityNET resources.
RFP Status
Completed & Awarded
The community and public are invited to view the full proposals and give feedback. During this time the RFP committee will doing their formal selection process to award winning proposals.
Towards the Commercialization of Quantum Computing
Expert Rating
4.3
We are a group of researchers from MIT, Wolfram Research, and Cornell aiming to critically evaluate quantum computing's role in AGI, focusing on the OpenCog Hyperon framework. This proposal will systematically assess current quantum technologies, including trapped-ion, superconducting, and photonic systems, and explore theoretical models like topological quantum computing, to delineate realistic potential and limitations for AGI applications. Additionally, we’ll research single and multi-qubit interactions within metagraph-based statistical models to understand their implications for quantum-based AGI processes, coordinating with the Hyperon team on MeTTa interpreter development.
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 project will investigate quantum computing's potential contributions to AGI development, including practical integration methods, functional capabilities, and technological readiness, ensuring a comprehensive understanding of how quantum advancements can enhance AGI systems.
By exploring this convergence between quantum and AGI, we glimpse the universe striving to understand its own infinite mind. AGI represents one of computing's most profound challenges, requiring scalable, efficient methods for differentiation, optimization, and information retrieval. Quantum computing (QC) offers a revolutionary approach to these compute-intensive processes, but separating hype from potential demands rigorous evaluation. This work examines three major QC paradigms—gate-based computing, quantum annealing, and measurement-based quantum computing—assessing their ability to accelerate AGI using tools like ZX calculus for cross-paradigm translation.
B2Quantum – Quantum Computing Technologies for AGI
Expert Rating
2.6
B2Quantum, a quantum computing startup founded by software industry veterans, will evaluate and recommend quantum computing approaches to aid OpenCog Hyperon's AGI development. Our team has experience in software development, cloud technologies, machine learning, and quantum computing, and we've successfully consulted for major pharmaceutical companies and government agencies. We'll collaborate closely with the OpenCog Hyperon team to explore practical quantum applications, avoiding overhyped claims. Our approach will consider multiple quantum computing paradigms, including gate-based, annealing, and topological quantum computing.
QuantumCog investigates the practical applications of quantum computing in AGI development within OpenCog Hyperon. Through rigorous analysis and collaboration with the Hyperon team, we will evaluate current quantum technologies to identify concrete use cases where quantum computing could enhance AGI systems. Our research focuses on distinguishing realistic capabilities from speculation, providing actionable insights to guide future quantum-AGI integration efforts.
This proposal aims to critically evaluate the role of quantum computing in advancing Artificial General Intelligence (AGI) within the OpenCog Hyperon framework. By conducting an in-depth literature review, collaborating with the Hyperon team, and exploring the most recent work in quantum paradigms, this research will provide a comprehensive analysis of quantum computing's realistic potential for enhancing AGI development.
This document presents a comprehensive review and reference compilation on the current landscape of quantum computing, detailing core aspects such as company overviews, mission statements, product and service offerings, target industries, and innovative advancements. It includes insights into the key applications of quantum technologies, notable partnerships and collaborations, and the challenges faced within the industry. Additionally, it examines the broader influence of these advancements on the quantum machine learning ecosystem, exploring their contributions to standardization, interoperability, and the evolution of quantum solutions.
As a group of leading quantum researchers with strong expertise in artificial intelligence (AI), QUAE is uniquely positioned to provide a comprehensive evaluation of the potential role of quantum computing in advancing Artificial General Intelligence (AGI). This proposal outlines our approach to critically assess the realistic capabilities of quantum computing, separate the hype from achievable advancements, and explore its application within the OpenCog Hyperon framework.
Our analysis will be grounded in rigorous research, technical simulations, and collaboration with the Hyperon team, particularly focusing on their MeTTa interpreters.
We are researchers from ANU (PhD) and Stanford (postdoc), with expertise in AGI and quantum computing. We propose a review of AGI, quantum information processing (QIP) and quantum hardware substrates to determine optimal pathways for quantum AGI. We will provide near term practicable, commercialisable insights and a long-term rigorous Theory of Quantum General Intelligence, centred on Hyperon. Via theory and simulations, we will evaluate both how classical AGI algorithms designed for classical computers can take advantage of quantum computing hardware, and conversely how natively quantum AGI can take advantage of quantum computing in ways classical AGI designed for classical hardware cannot.
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