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 Self-Attention in a Large Language Model
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Research proof-of-concept. ~2-5% accuracy on ARC-AGI. NOT an ARC Prize submission. GPU compute-shader playground.
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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
Recursive law learning under measurement constraints. A falsifiable SQNT-inspired testbed for autodidactic rules: internalizing structure under measurement invariants and limited observability.
In this repository there is the code for initialize tensor network layers from paper https://arxiv.org/abs/2309.06577
QuESO (Quantum Enhanced Seat Optimizer) is an open-source, QUBO-based office seating optimizer.
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2D and 3D tensor network visualization, designed for torch, numpy, quimb, tensorkrowch, tenpy and tensornetwork compatibility. Explained in https://arxiv.org/abs/2606.08760
Code and data for the npj Quantum Information paper on resonant oscillations in automation
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A highly optimized Julia framework for Quantum-Inspired Entropic Neural Operators (QIENO). Fusing geometric deep learning with non-equilibrium thermodynamics to predict structural collapse in hyper-chaotic dynamical systems.
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