Explicit block encoding of the DoG operator achieves constant subnormalization factor λ=2 and a closed-form success probability that scales as O(h^4) on fine grids.
Explicit block encodings of boundary value problems for many-body elliptic operators.Quantum, 9:1764, 2025
2 Pith papers cite this work. Polarity classification is still indexing.
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Pivot-shifted Carleman linearization with Lyapunov transform enables logarithmic truncation and removes initial-condition lower bounds for quantum simulation of a broader class of nonlinear ODEs.
citing papers explorer
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Explicit Block Encoding of Difference-of-Gaussian Operators on a Periodic Grid
Explicit block encoding of the DoG operator achieves constant subnormalization factor λ=2 and a closed-form success probability that scales as O(h^4) on fine grids.
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Quantum Algorithms for Nonlinear Differential Equations via Pivot-Shifted Carleman Linearization
Pivot-shifted Carleman linearization with Lyapunov transform enables logarithmic truncation and removes initial-condition lower bounds for quantum simulation of a broader class of nonlinear ODEs.