Pulse-optimized implementations of single- and double-qubit excitations in VQE reduce runtimes by up to 15.3 times on silicon spin-qubit processors.
Optimizing variational quantum algorithms using pontryagin’s mini- mum principle,
2 Pith papers cite this work. Polarity classification is still indexing.
fields
quant-ph 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
The authors cast rolling stock planning as maximum-weight independent set on a cycle graph, then apply a divide-and-conquer hybrid that solves subgraphs with QAOA (simulated and on IQM Emerald) and show larger subgraphs yield better solutions than smaller ones or pure classical heuristics.
citing papers explorer
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Pulse-optimised circuit elements for scalable and noise-resilient quantum chemistry
Pulse-optimized implementations of single- and double-qubit excitations in VQE reduce runtimes by up to 15.3 times on silicon spin-qubit processors.
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Rolling Stock Planning Using the Quantum Approximate Optimization Algorithm
The authors cast rolling stock planning as maximum-weight independent set on a cycle graph, then apply a divide-and-conquer hybrid that solves subgraphs with QAOA (simulated and on IQM Emerald) and show larger subgraphs yield better solutions than smaller ones or pure classical heuristics.