Hybrid Path-Sums offer a new symbolic framework with rewriting rules and assertions to represent, simplify, and verify properties of hybrid quantum-classical programs.
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3 Pith papers cite this work, alongside 18 external citations. Polarity classification is still indexing.
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The paper proposes variational decision diagrams (VDDs) for quantum state representation in QML and reports successful training without barren plateaus on transverse-field Ising and Heisenberg Hamiltonians.
Linear structure combined with hierarchy is crucial for CFLOBDD compression efficiency; its removal produces significant blowup and degraded results in quantum simulation.
citing papers explorer
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Hybrid Path-Sums for Hybrid Quantum Programs
Hybrid Path-Sums offer a new symbolic framework with rewriting rules and assertions to represent, simplify, and verify properties of hybrid quantum-classical programs.
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Variational decision diagrams for quantum-inspired machine learning applications
The paper proposes variational decision diagrams (VDDs) for quantum state representation in QML and reports successful training without barren plateaus on transverse-field Ising and Heisenberg Hamiltonians.
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Do CFLOBDDs Actually Make Use of Linear Structure?
Linear structure combined with hierarchy is crucial for CFLOBDD compression efficiency; its removal produces significant blowup and degraded results in quantum simulation.