MonteQ applies Monte Carlo Tree Search in a two-level framework to optimize Pauli rotation orderings for Hamiltonian simulation, cutting CNOT counts by up to 53% versus prior compilers.
On the product of semi-groups of operators
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Smart Embedding reduces parameters by 48.3 percent in polyphonic music models with information-theoretic loss bounds under 0.153 bits and tighter generalization via Rademacher complexity.
citing papers explorer
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MonteQ: A Monte Carlo Tree Search Based Quantum Circuit Synthesis Framework
MonteQ applies Monte Carlo Tree Search in a two-level framework to optimize Pauli rotation orderings for Hamiltonian simulation, cutting CNOT counts by up to 53% versus prior compilers.
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Mathematical Foundations of Polyphonic Music Generation via Structural Inductive Bias
Smart Embedding reduces parameters by 48.3 percent in polyphonic music models with information-theoretic loss bounds under 0.153 bits and tighter generalization via Rademacher complexity.