most citedImplementing Large Quantum Boltzmann Machines as Generative AI Models for Dataset Balancing

4 citations · 4 across the 3 of their papers we have counts for

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quant-ph2025

Non-Perturbative Topological Gadgets for Many-Body Coupling

David Headley, Nicholas Chancellor

Continuous-time quantum hardware implementations generally lack the native capability to implement high-order terms that would facilitate efficient compilation of quantum algorithm…

quant-ph2025

Optimized Quantum Embedding: A Universal Minor-Embedding Framework for Large Complete Bipartite Graph

Salvatore Sinno, Thomas Groß, Nicholas Chancellor +2

Minor embedding is essential for mapping largescale combinatorial problems onto quantum annealers, particularly in quantum machine learning and optimization. This work presents an…