The Swiss Army Knife of Applied Quantum Technology (Experimental Tech)

In this thesis we study the properties of quantum walks with time dependent Hamiltonians, focusing in particular on the application to the quantum search problem on graphs. We study the search, localization and give a measure of robustness.

Simulation frameworks for classical, quantum, and hybrid classical-quantum walks on arbitrary networks.

Matching decomposition algorithm for simulating continuous-time quantum walk Hamiltonians in the circuit model

Topology-Aware Sparse Distributed Memory for knowledge graph retrieval. Binary 256-bit addresses combining SimHash content + weighted majority vote over 1-hop neighbors, plus classical quantum walk refinement. MRR=0.919 globally, MRR=1.000 in 50-node subgraphs. Python stdlib, no GPU, no API, no training. DOI: 10.5281/zenodo.19645323