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 GPU-accelerated Tensor Network Discrete Optimization Solver
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Quantum-inspired Estimation of Distribution Algorithm (QIEDA) to solve the Traveling Salesman Problem. Presented in IEEE Congress on Evolutionary Computation
Quantum-Inspired Self-Attention in a Large Language Model
Research proof-of-concept. ~2-5% accuracy on ARC-AGI. NOT an ARC Prize submission. GPU compute-shader playground.
A multi-criterion diagnostic framework for detecting latent continuation-interest signatures in autonomous agents using density-matrix entanglement entropy.
Quantum GPS Unified — quantum-enhanced navigation and positioning system
Hybrid classical-quantum system for gas leak detection and drone path planning using synthetic GPLA-12 data, classical ML, and quantum-inspired optimization.
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.
QuESO (Quantum Enhanced Seat Optimizer) is an open-source, QUBO-based office seating optimizer.
Quantum-inspired graph neural network platform for real-time meme virality prediction with explainable AI and simulated social network analysis.
Quantum-inspired Rust/WebAssembly sandbox for visualizing dynamic systems, resilience, decoherence and synchronized network behavior.
2D and 3D tensor network visualization, designed for torch, numpy, quimb, tensorkrowch, tenpy and tensornetwork compatibility. Explained in https://arxiv.org/abs/2606.08760
Quantum-inspired QUBO optimizer in pure Python — simulated annealing solver with TSP/VRP converters
Rust CLI for structural code analysis, effective-model simulation, seeded Monte Carlo benchmarking, JSON reports, and comparative research artifacts.
This repository has the code for the Task Scheduler with Tensor Networks described in paper https://arxiv.org/abs/2311.10433
FRP v1.8.0 — Ternary Fractal Resonant Coherence Processor with a qualified M15 semantic and implementation-mapping foundation (41/41 PASS), a closed M16 RTL Execution Layer, active-neutral balanced ternary retained-state execution, and a closed target-independent FPGA Preparation Layer.
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