PauliEngine delivers a high-performance C++ backend for Pauli string multiplication, commutators, and symbolic tracking that outperforms existing tools in benchmarks.
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2 Pith papers cite this work. Polarity classification is still indexing.
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quant-ph 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Logical quantum kernels outperform physical ones when solving differential equations on a neutral-atom processor, with gains traced to noise error detection in the logical encoding.
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PauliEngine: High-Performant Symbolic Arithmetic for Quantum Operations
PauliEngine delivers a high-performance C++ backend for Pauli string multiplication, commutators, and symbolic tracking that outperforms existing tools in benchmarks.
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Benchmarking a machine-learning differential equations solver on a neutral-atom logical processor
Logical quantum kernels outperform physical ones when solving differential equations on a neutral-atom processor, with gains traced to noise error detection in the logical encoding.