Research & Insights
Publications, whitepapers, and announcements from the BF-Q Labs research team.
Quantum-Classical Hybrid Architectures: The Next Frontier
Abstract Quantum-classical hybrid architectures represent a paradigm shift in computational design, blending the deterministic power of classical processors with the probabilistic advantages of quantum circuits. Intr…
Read full paperBrainFuel Quantum AI Labs Secures Seed Funding
BrainFuel Quantum AI Labs, headquartered in Navi Mumbai, India, has secured seed funding to accelerate development of its quantum-AI product suite. T…
Read moreIntroducing Zero-Knowledge Proofs for AI Model Verification
Overview Zero-knowledge proofs (ZKPs) offer a compelling solution to a critical problem in enterprise AI: how can you verify that an AI model was tr…
Read morePost-Quantum Cryptography Migration Guide for Enterprises
Why Migrate Now? NIST finalised its first set of post-quantum cryptography (PQC) standards in August 2024. Enterprises that delay migration face a "…
Read moreFederated Learning at Scale: Lessons from 10 000 Edge Nodes
Background Federated learning (FL) enables model training across distributed data sources without centralising sensitive data. In collaboration with…
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