CRiSP uses neural-guided MCTS and curriculum learning to insert Clifford prefixes before parameterized rotations in VQAs, yielding mean 3.17x and max 45x gains in energy accuracy on 22-qubit QAOA benchmarks versus prior Clifford initializers.
Computing Binomial Coefficients
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
representative citing papers
Zeta-function derivative corrections enable machine-precision evaluation of periodic dipolar and Riesz potentials at the cost of truncated sums.
citing papers explorer
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Classical State Preparation for Variational Quantum Algorithms via Reinforcement Learning
CRiSP uses neural-guided MCTS and curriculum learning to insert Clifford prefixes before parameterized rotations in VQAs, yielding mean 3.17x and max 45x gains in energy accuracy on 22-qubit QAOA benchmarks versus prior Clifford initializers.
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Zeta expansion for long-range interactions under periodic boundary conditions with applications to micromagnetics
Zeta-function derivative corrections enable machine-precision evaluation of periodic dipolar and Riesz potentials at the cost of truncated sums.