This milestone establishes the foundational framework for our quantum-AGI research by creating a comprehensive roadmap that identifies the most promising quantum computing approaches for AGI applications. We will develop systematic evaluation criteria tailored specifically to AGI computational requirements enabling objective comparison of different quantum architectures. The milestone includes researching quantum algorithms optimized for AGI patterns like probabilistic reasoning and knowledge representation while establishing practical access to multiple quantum computing platforms through QCUP and commercial partnerships. This phase ensures our research is methodologically sound experimentally feasible and strategically focused on the quantum approaches most likely to benefit AGI development within the Hyperon framework.

- Comprehensive research plan detailing evaluation methodologies for trapped-ion superconducting photonic and topological quantum computing architectures - Analysis of theoretical suitability of each architecture for AGI tasks including probabilistic inference pattern recognition and knowledge representation - Quantum algorithm design framework specifically optimized for AGI computational patterns - Simulation strategy for comparing quantum architectures using consistent AGI-relevant benchmarks - Detailed project schedule with established access plans for multiple quantum computing platforms via QCUP and commercial partnerships

$25,000 USD

- Methodological Completeness: Delivery of a comprehensive evaluation framework covering all four quantum architectures (trapped-ion, superconducting, photonic, topological) with clearly defined performance metrics relevant to AGI tasks - Technical Rigor: Theoretical analysis demonstrates quantitative mapping between quantum architectural capabilities and specific AGI computational requirements (probabilistic inference, pattern recognition, knowledge representation) - Algorithm Innovation: Quantum algorithm framework shows novel optimization for AGI patterns with demonstrable theoretical advantages over classical approaches - Experimental Feasibility: Confirmed access agreements to at least 3 different quantum computing platforms with documented simulation strategies ready for implementation - Strategic Alignment: Research plan explicitly connects quantum capabilities to OpenCog Hyperon components (MeTTa, PLN, ECAN) with realistic timeline projections - Peer Review Quality: Deliverables meet publication standards for peer-reviewed quantum computing and AGI venues, demonstrating scientific rigor and clarity

This milestone transitions from theoretical planning to practical implementation by conducting initial technical assessments across quantum platforms. We will generate the first empirical data comparing quantum architectures for AGI applications including hands-on experiments using IBM quantum computers to validate our theoretical frameworks. The milestone focuses on understanding the practical quantum requirements for AGI tasks particularly examining how quantum entanglement and coherence properties can support knowledge representation and cognitive processing. By analyzing quantum error correction needs and generating comparative simulation data this phase provides the first concrete evidence of quantum advantages for specific AGI computational patterns establishing the empirical foundation for deeper research phases.

Technical report on quantum feature mapping between architectural capabilities and AGI computational requirements Initial simulation results comparing quantum architectures for representative AGI tasks Experimental data from IBM quantum computers demonstrating quantum implementations of AGI-relevant algorithms Analysis of quantum entanglement stability and coherence requirements for AGI knowledge representation Assessment of quantum error correction needs for sustained AGI cognitive processing

$25,000 USD

- Empirical Validation: Technical report demonstrates clear quantitative mapping between quantum architectural features and AGI performance metrics with supporting experimental data - Multi-Platform Comparison: Simulation results show measurable performance differences between quantum architectures for at least 3 representative AGI tasks with statistical significance - Hardware Implementation: Successful execution of quantum algorithms on IBM quantum computers with documented circuit fidelities, error rates, and performance benchmarks for AGI-relevant computations - Quantum Coherence Analysis: Comprehensive assessment of entanglement stability requirements with specific thresholds identified for AGI knowledge representation tasks - Error Correction Roadmap: Detailed analysis of quantum error correction needs with realistic resource estimates and timeline projections for AGI-scale cognitive processing - Reproducible Results: All experimental data and simulation code publicly available with sufficient documentation for independent verification and replication

This milestone expands our experimental reach across multiple quantum computing platforms to provide comprehensive empirical validation of quantum approaches for AGI. Building on initial findings we will develop and test quantum-classical hybrid models specifically tailored to OpenCog Hyperon's core components including MeTTa interpretation probabilistic logic networks and attentional allocation systems. The milestone emphasizes practical implementation by comparing quantum architecture performance across diverse AGI reasoning tasks while exploring advanced quantum phenomena that could unlock new cognitive computing paradigms. We will also establish scalability roadmaps for quantum-enhanced AGI systems identifying the hardware and algorithmic developments needed to transition from proof-of-concept to production-scale cognitive architectures.

- Expanded experimental results across multiple quantum platforms accessible through QCUP and commercial partnerships - Quantum-classical hybrid models optimized for OpenCog Hyperon components (MeTTa PLN ECAN DAS) - Comparative performance analysis of quantum architectures for AGI reasoning tasks - Assessment of advanced quantum phenomena and their potential applications to cognitive computing - Analysis of scalability pathways for quantum-enhanced AGI systems

$25,000 USD

- Multi-Platform Validation: Successful execution of quantum algorithms across at least 4 different quantum platforms with documented performance comparisons and platform-specific optimization strategies - Hybrid Integration: Functional quantum-classical hybrid models demonstrating measurable performance improvements for at least 2 OpenCog Hyperon components with quantified speedup or accuracy gains - Comparative Excellence: Statistical analysis showing significant performance differences between quantum architectures for AGI reasoning tasks, with confidence intervals and effect size measurements - Advanced Quantum Applications: Identification and preliminary testing of at least 2 advanced quantum phenomena (beyond basic superposition/entanglement) with demonstrated relevance to cognitive computing applications - Scalability Framework: Detailed roadmap with specific hardware thresholds, qubit counts, and coherence requirements needed for quantum-enhanced AGI deployment at practical scales - Implementation Readiness: All hybrid models and experimental protocols documented for integration with existing Hyperon development workflows, with clear adoption pathways for the SingularityNET development team

This final milestone synthesizes all research findings into a comprehensive assessment that provides SingularityNET with actionable intelligence for quantum-enhanced AGI development. We will deliver a definitive comparison of quantum computing architectures clearly distinguishing between proven quantum advantages and speculative claims through rigorous analysis of our experimental data. The milestone culminates in strategic recommendations that balance quantum computing potential with practical constraints providing realistic timelines and resource requirements for quantum integration. By delivering reusable simulation frameworks and quantum circuit designs along with a detailed roadmap for future research this phase ensures SingularityNET can make informed decisions about quantum investments while having the tools necessary for continued experimentation and development.

- Final research report with comprehensive architecture comparison for quantum-enhanced AGI - Quantum advantage analysis for specific AGI workloads with clear distinctions between demonstrated capabilities and theoretical potential - Strategic recommendations for quantum integration in AGI development including realistic timelines and resource requirements - Simulation frameworks and quantum circuit designs for continued experimental validation - Roadmap for future research highlighting promising directions and practical limitations with cost-benefit analysis

$25,000 USD

- Comprehensive Assessment: Final report provides definitive ranking of quantum architectures for AGI applications with quantitative performance metrics, confidence intervals, and clear recommendations for optimal use cases - Evidence-Based Distinctions: Quantum advantage analysis demonstrates clear separation between experimentally validated capabilities and theoretical projections, with statistical significance testing and reproducible benchmarks - Actionable Strategy: Strategic recommendations include specific implementation timelines, budget estimates, and resource allocation plans that SingularityNET can directly incorporate into development roadmaps - Reusable Infrastructure: Simulation frameworks and quantum circuit designs are production-ready, well-documented, and successfully tested by independent validation teams - Future-Focused Roadmap: Research roadmap identifies at least 3 high-priority research directions with detailed cost-benefit analysis, risk assessments, and success probability estimates based on current quantum hardware trajectories - Industry Impact: Research findings meet publication standards for top-tier venues in both quantum computing and AGI fields, with demonstrated relevance to broader quantum-enhanced AI development community