JAX implementation of Classical and Quantum Algorithms for Orthogonal Neural Networks by (Kerenidis et al., 2021)
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Updated
Jan 6, 2023 - Python
JAX implementation of Classical and Quantum Algorithms for Orthogonal Neural Networks by (Kerenidis et al., 2021)
Quantum-inspired Echo State Network for multi-agent behavior analysis (MABe challenge)
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://arxiv.org/abs/2309.10509
In this repository there is the code for initialize tensor network layers from paper https://arxiv.org/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.
Quantum GPS Unified — quantum-enhanced navigation and positioning system
This repository has the code for the Task Scheduler with Tensor Networks described in paper https://arxiv.org/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
Research proof-of-concept. ~2-5% accuracy on ARC-AGI. NOT an ARC Prize submission. GPU compute-shader playground.
5-bit quantum tree simulating "watershed" mechanism between dual perspectives. Exploring self-reference, multi-view collaboration & emergent creativity for edge AI.
Quantum-inspired graph dynamics simulation and visualization lab
A generalized reinforcement learning framework for structured action representations and adaptive decision-making in evolving systems.
Rust CLI for structural code analysis, effective-model simulation, seeded Monte Carlo benchmarking, JSON reports, and comparative research artifacts.
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