Research/Insights

Statistical Modelling Scheduling Epistemology Hashing Random Circuit Sampling (RCS) Combinatorics Text Processing AGI Heuristics ASI N-Gram Models Markov Chains Neural Networks Quantum Algorithms Benchmarking LLMs Encryption Politics Sparsity Issues Quantum Supremacy Qubits Data Migration Complexity Quantum Computing Cryptographic Security AI Quantum Key Distribution (QKD) Machine Learning Natural Language Processing (NLP) Optimisation Document De-Duplication
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2022 2024 2025
Scheduling Fair Play: The Circle Method & CORRA Foundations
Beneath every round-robin lies an NP-hard puzzle of pairings, courts, and timing. CORRA (ClubOps Round-Robin Americano) solves it heuristically – generating full-season schedules with near-perfect fairness, instantly adaptable to real-world constraints and last-minute changes in the blink of an eye.
Idols of Silicon: The AI Mirage and The Limits of Knowledge
AI will not produce superintelligence or escape the limits of knowledge. The myth of ASI endures because it functions as theology for the public and ideology for Silicon Valley. An idol built on appropriation, exploitation, and hype.
Streamlining Data Migration with In-Situ Document De-Duplication
We conducted a PoC to address document duplication in a client's CRM. Using Oracle PL/SQL, we identified and de-duplicated PDF files stored as BLOBs, reducing storage needs by over 90%. This approach ensures data integrity, optimises document management, and simplifies the transition to SharePoint.
RCS and the Race for Quantum Supremacy: A Practical Look at Benchmarks and Real-World Relevance
Google's Willow chip has smashed its own Random Circuit Sampling (RCS) benchmarks from the 2019 Sycamore system, re-igniting talk about quantum supremacy. But are these record-breaking achievements largely symbolic milestones?
Data Hunger: Why N-Gram Models Struggle with Sparsity
Higher-order n-gram models struggle with the exponential data requirements and sparsity issues of capturing language patterns, while modern LLMs overcome these challenges with neural architectures, embeddings, and sub-word tokenisation.
Demystifying LLMs with some simple Python
Large Language Models (LLMs) like Gemini or ChatGPT seem to “understand” our questions and “reason” out their answers. In reality, they don’t have any inherent understanding. They predict the next word by leveraging complex statistical associations learned from vast amounts of text.
The Quantum Frontier: Revolutionising Cryptography
The rise of quantum computing threatens traditional cryptographic methods. However, quantum mechanics also provides a solution: quantum cryptography with protocols such as BB84 that enable the exchange of encryption keys in a way that is immune to eavesdropping.
What you can expect from Anante Insights
Anante Insights cuts through hype with rigorous, critical analysis of AI and Quantum Computing, exploring not just where these technologies are headed, but why it matters. Expect thoughtful research, technical deep dives, and a commitment to understanding progress.