Quantum-inspired retrieval: a research journey toward useful memory
A readable route into the research: what was explored, what was built and what still needs to be demonstrated.
Project collection
Quantum & memory
Explore the original ideas, technical designs, research and reviews behind this strand of the work.
Explore this project
Original source status and dates remain visible. A research proposal, a technical implementation and an observed result are different parts of the story.
Research Paper: Bidirectional AI-Quantum Computing Symbiosis for Enhanced Retrieval-Augmented Generation
Substantial draft on bidirectional AI–quantum RAG, combining retrieval/search, associative memory, quantum attention, hyperdimensional representations and AI-assisted quantum methods.
quantum-advanced-retrieval
Report connecting hyperdimensional computing, associative memory, graph reasoning and generative/dense retrieval to large-context information systems.
Technical Review: ADVANCE_RETRIEVAL.md
Technical critique correcting dimensionality, associative-memory capacity, dense-graph reasoning, speed generalisations and an unvalidated composite architecture.
Research Digest
Research-agent index of discovered papers, selected validations and integration priorities for the retrieval programme.
Quantum RAG Validation Results
Recorded software test and benchmark outcomes for the quantum retrieval prototype.
Reproducibility Snapshot
Platform, dependencies, test outcomes and practical limitations for recreating the retrieval prototype experiments.
Peer Review Summary: Quantum RAG System
Review-oriented summary of the quantum RAG design, key complexity claims, example outcomes and verification steps.
AI-Quantum Symbiosis: A Research Series
Guide to the two-way relationship between AI and quantum technologies, linking error correction, control, compilation, materials and retrieval.
The State of Quantum Computing Knowledge
Survey of quantum-computing hardware approaches, current constraints, noise and computational opportunities.
AI for Quantum Error Correction and Mitigation
AI methods for quantum error correction, including learned decoders and error prediction.
AI for Quantum Control and Calibration
AI-assisted quantum control and calibration, including reinforcement-learning approaches.
AI for Quantum Circuit Optimization
AI-assisted circuit compilation, routing and optimisation.
AI for Quantum Hardware Materials and Design
AI for materials and device discovery, relating candidate prediction and experimental screening to quantum technologies.
The Quantum-AI Symbiosis: A Bidirectional Relationship
Synthesis of the bidirectional AI–quantum relationship, its present asymmetry, future feedback loops and strategic research implications.
Integration with Your Existing Quantum RAG Research
Connects AI-assisted quantum methods with the existing quantum retrieval prototype and outlines an integrated research programme.
References
Consolidated citations supporting the AI–quantum symbiosis series.
Quantum Architectures for Infinite Context Management: Bridging Multi-Modal Information Retrieval and High-Dimensional Hilbert Spaces
Sixteen-page report on continuous-variable quantum representation, QRAM, retrieval and high-dimensional context, with references.
quantum-learning
Local consolidated quantum-learning research. Read alongside the retained remote manuscript and its review; quantum-inspired classical algorithms and quantum-hardware experiments have different evidence requirements.
Quantum Computing Project — Baseline Snapshot
Local consolidated quantum-learning research. Read alongside the retained remote manuscript and its review; quantum-inspired classical algorithms and quantum-hardware experiments have different evidence requirements.
Quantum-RAG ↔ conduir-evolution — Deep Analysis (Pass 2)
Local consolidated quantum-learning research. Read alongside the retained remote manuscript and its review; quantum-inspired classical algorithms and quantum-hardware experiments have different evidence requirements.
Quantum Learning Pathway
Local consolidated quantum-learning research. Read alongside the retained remote manuscript and its review; quantum-inspired classical algorithms and quantum-hardware experiments have different evidence requirements.