JAX implementation of Classical and Quantum Algorithms for Orthogonal Neural Networks by (Kerenidis et al., 2021)
Quantum-Inspired GPU-accelerated Tensor Network QUBO Solver
Quantum-inspired Estimation of Distribution Algorithm (QIEDA) to solve the Traveling Salesman Problem. Presented in IEEE Congress on Evolutionary Computation
A multi-criterion diagnostic framework for detecting latent continuation-interest signatures in autonomous agents using density-matrix entanglement entropy.
Quantum-Inspired Self-Attention in a Large Language Model
In this repository we have the implementation of the tensor networks solver for Lineal Chain One-Neighbor interation QUBO, QUDO and Tensor QUDO problems, from paper https://un5g9qc4gj7rc.julianrbryant.com/abs/2309.10509
In this repository there is the code for initialize tensor network layers from paper https://un5g9qc4gj7rc.julianrbryant.com/abs/2309.06577
Recursive law learning under measurement constraints. A falsifiable SQNT-inspired testbed for autodidactic rules: internalizing structure under measurement invariants and limited observability.
This repository has the code for the Task Scheduler with Tensor Networks described in paper https://un5g9qc4gj7rc.julianrbryant.com/abs/2311.10433
Long-form research books on AI & Quant Finance—human-led, DOI-ready release
2D and 3D tensor network visualization, designed for torch, numpy, quimb, tensorkrowch, tenpy and tensornetwork compatibility
5-bit quantum tree simulating "watershed" mechanism between dual perspectives. Exploring self-reference, multi-view collaboration & emergent creativity for edge AI.
Rust CLI for structural code analysis, effective-model simulation, seeded Monte Carlo benchmarking, JSON reports, and comparative research artifacts.
Quantum-inspired graph dynamics simulation and visualization lab
A generalized reinforcement learning framework for structured action representations and adaptive decision-making in evolving systems.
Hybrid classical-quantum system for gas leak detection and drone path planning using synthetic GPLA-12 data, classical ML, and quantum-inspired optimization.
Twelve 2025-ready ML projects: climate, quantum-inspired optimization, federated wearables, ethical recs, TinyML, DP synthetic data.
A gravity-inspired physics optimization kernel with a constraint-driven runtime (Ising/QUBO as the description layer).
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