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Research

The foundations, worked out in public.

Papers on mathematical physics, category theory, and the foundations of mathematics. Most come with the Lean or Haskell code that checks the proofs, and every one is free to read — no email required.

Quantum gravity and emergent spacetime

4 of 8 published

Reconstructing geometry from what quantum systems already encode.

Emergent spacetime

TeX

emergent_spacetime

Investigating emergent spacetime through simulations and theoretical models to understand its origins.

Black hole info paradox resolution

Haskell

black_hole_info_paradox_resolution

A formal resolution to the Black Hole Information Paradox through information-theoretic foundations

Quantum unification

TeX

quantum_unification

Investigations into unifying quantum mechanics with broader physical theories, exploring foundational concepts and beyond.

On the same origin of quantum physics and general relativity expanded with code

TeX

on_the_same_origin_of_quantum_physics_and_general_relativity_expanded_with_code

Code For Unified Physics

Foundations of mathematics

9 of 19 published

Homotopy type theory, formalised proof, and what counts as one.

hott-riemann-hypothesis-vol5

Using homotopy type theory and condensed mathematics to attack the Riemann Hypothesis with machine-checked formal proof. Final volume of a five-part programme. RH formally reduced to two named open problems, proven equivalent inside the condensed (∞,1)-topos. 239 verified Lean theorems, zero invalid.

Minimal runtime axiom

TeX

minimal-runtime-axiom

The Minimal Runtime Axiom: Runtime is proof of ignorance. A type-theoretic and category-theoretic formalization.

AI theory

TeX

ai_theory

Advancing the theoretical foundations of Artificial Intelligence through interdisciplinary research. This repository bridges AI, mathematics, and information theory, exploring innovative concepts that shape the future of AI systems. Contributions are welcome!

Chain of intent

Python

chain-of-intent

Chain of Intent (CoI): Novel AI alignment framework treating intent as mathematically transformable objects. Implements semantic preservation theorems, safety verification, and clarification protocols for LLMs.

Unified foundations of mathematics

TeX

unified_foundations_of_mathematics

A deep dive into the universal underpinnings of mathematics, seeking to unify set theory, category theory, logic, and more under a cohesive framework

Proof as code QEC

TeX

proof_as_code_qec

Compositional quantum error correction pipeline in Haskell, integrating topological, penalty-based, and type-theoretic QEC with code-based verification....

Proof as code math physics

proof_as_code_math_physics

Explore math and physics concepts through code with examples in calculus, mechanics, and electromagnetism. Haskell and Coq used.

Proof as code

proof_as_code

A repository showcasing the power of using code to generate and verify mathematical proofs and assertions. Technologies: Python, Jupyter Notebooks. Standout ...

Database theory

TeX

database_theory

Advancing database theory through interdisciplinary research. Explore mathematical frameworks like Topos Theory, functional programming, and the Langlands program applied to modern database challenges. This repository houses papers and resources for researchers and developers pushing the boundaries of database design and architecture.

Geometric Langlands conjecture expanded

TeX

geometric_langlands_conjecture_expanded

Comprehensive resources and explorations of the Geometric Langlands Conjecture, bridging number theory, geometry, and representation theory.

Mathematical physics

TeX

mathematical_physics

An interdisciplinary collection of resources on the nexus of advanced mathematics and theoretical physics, with an emphasis on fundamental principles.

Category theory and the Yoneda programme

10 of 14 published

Structure recovered from morphisms rather than assumed up front.

dna-lang

DNA-Lang: A typed programming language for biological systems. 8 research papers + Haskell implementations mapping DNA sequence categories to programming language constructs.

yoneda-ai

Category-theoretic foundations for open problems in quantum mechanics, gravity, and observer theory — 6 papers applying the Yoneda Constraint

Yoneda AI industry research

TeX

yonedaai-industry-research

YonedaAI Methodology: Mitigating AI Code Generation Limitations through Risk-Aware Engineering, Golden Paths, and Enterprise AI Governance Frameworks

Functorial physics

TeX

functorial-physics

Explore theoretical physics through functorial frameworks, unifying mathematical structures and physical phenomena.

Derived functors QEC

TeX

derived-functors-qec

Derived Functors and Quantum Error Correction: A Homotopy-Theoretic Approach

FunctorialHamiltonians

Python

FunctorialHamiltonians

A repository exploring Hamiltonian mechanics using category theory and functors. It demonstrates the construction and transformation of Hamiltonians through functorial mappings, bridging mathematical physics and algebraic structures. Ideal for researchers in quantum mechanics and advanced algebra.

Quantum matter and information

8 of 15 published

Topological phases, entanglement, and error correction.

topological-phases-of-matter

Six-paper research program: topological phases of matter in a condensed-mathematics paradigm — condensed moduli stacks of Hamiltonians, uniform spectral gaps, solid K-theory, bordism realizability; with Haskell verification suites and a sorry-free Lean 4 library.

Standard model

TeX

standard-model

Standard Model research: modular physics framework for matter, anti-matter, and gauge unification

Quantum perspectivism Haskell

Haskell

quantum-perspectivism-haskell

Complete Haskell implementation of Quantum Perspectivism — categorical framework for foundational physics via the Yoneda Constraint. 42 modules, 11-step derivation chain from Yoneda Lemma to Schrödinger equation.

Modular physics

TeX

modular-physics

A compositional framework for fundamental physics laws based on information-theoretic principles

First law entanglement

Haskell

first-law-entanglement

Rigorous Haskell proof of the First Law of Entanglement (δS_A = δ⟨K_A⟩) - the quantum information principle showing how spacetime emerges from entanglement.

Quantum database theory

TeX

quantum_database_theory

Cutting-edge exploration of quantum-enhanced database operations using principles of quantum computing. Join us! #quantum #database #technology

Quantum topological QEC

TeX

quantum-topological-qec

Quantum topological QEC: Explore algorithms for error correction in quantum systems using topological properties. #QEC #topological- codes

QuantumFlow

TeX

QuantumFlow

QuantumFlow – A Python library for simulating derived Hamiltonians in quantum fields, lattice QCD, quantum circuits, and biophysics. Supports tensor-driven computations, phase space visualizations, and higher-order corrections to classical and quantum systems.