qANM applies high-order perturbation via Taylor series to convert nonlinear systems to linear equations solved by variational quantum linear solver and quantum Jacobi method, with simulator validation and 98% accuracy on a noisy superconducting processor.
Preskill, Quantum computing in the NISQ era and beyond, Quantum 2 (2018) 79
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A distributed hybrid quantum-classical algorithm for K-SAT that accelerates the exponential core, uses fewer qubits than prior work, and avoids quantum communication.
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A quantum nonlinear solver based on the asymptotic numerical method
qANM applies high-order perturbation via Taylor series to convert nonlinear systems to linear equations solved by variational quantum linear solver and quantum Jacobi method, with simulator validation and 98% accuracy on a noisy superconducting processor.