Strategic Quantum Paths to Scalable AGI

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Gabriel Axel Montes
Project Owner

Strategic Quantum Paths to Scalable AGI

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Overview

Quantum-IC designer Omowuyi Olajide, neuroscience-AI lead Gabriel Axel Montes, quantum scientist Lucija Grba, Nature-published pioneer Gert Cauwenberghs, and HPC-quantum strategist Theo Valich will evaluate four hardware paradigms—trapped-ion, superconducting, photonic, topological—and three hybrid algorithms (Quantum Walks, QAOA, VQE). We’ll benchmark coherence, fidelity, error-correction overhead, and throughput on AGI tasks (inference, pattern recognition, symbolic reasoning) inside OpenCog Hyperon, build quantum-classical prototypes of PLN, MOSES, ECAN, and deliver a rigorous feasibility and cost-benefit roadmap for decentralized, scalable, quantum-accelerated AGI [1]-[7].

RFP Guidelines

Explore theoretical quantum computing models

Internal Proposal Review
  • Type SingularityNET RFP
  • Total RFP Funding $100,000 USD
  • Proposals 13
  • Awarded Projects n/a
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SingularityNET
Apr. 14, 2025

This RFP seeks a technical and experimental assessment of quantum computing architectures in AGI applications. Proposals should explore the practicality and limitations of various quantum approaches — including trapped-ion, superconducting, photonic, and topological quantum computing — in handling probabilistic reasoning, parallel processing, and large-scale knowledge representation. The research could include quantum-classical hybrid simulations and feasibility studies for applying quantum advancements to AGI workloads. Bids are expected to range from $20,000 - $100,000.

Proposal Description

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  • Total Milestones

    4

  • Total Budget

    $100,000 USD

  • Last Updated

    22 May 2025

Milestone 1 - Identification of Quantum Paradigms and R&D Plan

Description

Conduct an in‑depth literature survey of trapped‑ion superconducting photonic and topological quantum platforms; define AGI‑relevant performance criteria (coherence fidelity connectivity); and assemble metric definitions into the SingularityNET Knowledge Layer schema.

Deliverables

- Research Plan Document with annotated bibliography and consolidated metric tables. - Knowledge‑Graph Schema & data‑contract definitions. - Simulation Strategy Outline detailing toolchains hardware targets and evaluation protocols.

Budget

$25,000 USD

Success Criterion

- Survey covers ≥ 60 peer‑reviewed sources. - All four paradigms are represented with complete metric entries (T₁, T₂, gate fidelities, connectivity). - Knowledge‑Graph schema validated by stakeholders and ready for data ingestion.

Milestone 2 - Early‑Stage Modeling & Hybrid Simulation Prototype

Description

Develop and validate noise and error‑correction models for 10–20 qubit subsets; prototype small‑scale QAOA runs on representative combinatorial inference tasks.

Deliverables

- Noise‑Model Report with simulated T₁/T₂ impacts and logical error thresholds under surface‑code and LDPC schemes. - QAOA Prototype Code & benchmark results (fidelity curves runtimes). - Mid‑project Presentation summarizing preliminary findings.

Budget

$25,000 USD

Success Criterion

- Noise models reproduce known vendor benchmarks within ±10 %. - Logical error rates achieve threshold crossing (logical error < 10⁻² at physical error rates). - QAOA prototype achieves ≥ 80 % solution fidelity on toy MaxCut instances (n ≤ 10, p ≤ 2).

Milestone 3 - Mid‑Project Expanded Analysis & Hybrid Integration

Description

Extend QAOA depth (p ≤ 5) and VQE molecular benchmarks (up to 6 qubits); implement Quantum Walk–based inference on toy knowledge graphs; integrate quantum subroutines with Hyperon’s PLN and ECAN modules.

Deliverables

- Extended Benchmark Suite comparing QAOA/VQE/Quantum Walk against classical baselines. - Hybrid Integration Scripts linking quantum routines to Hyperon components. - Updated Documentation with performance heatmaps and code repository links.

Budget

$25,000 USD

Success Criterion

- QAOA/VQE benchmarks demonstrate equal or improved performance (solution quality or runtime) over classical MCMC/variational methods on defined micro‑tasks. - Quantum Walk inference matches classical random‑walk accuracy within 5 % on graphs (|V| ≤ 20). - Integration scripts successfully execute end‑to‑end hybrid workflows without errors.

Milestone 4 - Final Comparative Evaluation & Feasibility Roadmap

Description

Synthesize all collected data into a comprehensive feasibility report; produce “traffic‑light” recommendations a cost‑benefit analysis and a 3‑year roadmap for quantum‑accelerated AGI adoption.

Deliverables

- Final Report with side‑by‑side architecture comparisons mathematical models experiment summaries and strategic guidance. - Executive Summary for non‑technical stakeholders. - Presentation Deck highlighting key visuals and decision recommendations.

Budget

$25,000 USD

Success Criterion

- Final Report receives formal approval from SingularityNET and OpenCog sponsors. - Executive Summary distilled to ≤ 5 pages, clearly communicating actionable insights. - Roadmap includes at least three realistic near‑term quantum use cases and distinguishes speculative avenues.

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