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Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems., , , , and . AAAI, page 2367-2375. AAAI Press, (2020)Dynamical simulation via quantum machine learning with provable generalization., , , , , , , and . CoRR, (2022)A semi-agnostic ansatz with variable structure for variational quantum algorithms., , , , and . Quantum Mach. Intell., 5 (2): 43 (December 2023)Covariance matrix preparation for quantum principal component analysis., , , and . CoRR, (2022)Resource frugal optimizer for quantum machine learning., , , , , and . CoRR, (2022)Scaling Whole-Chip QAOA for Higher-Order Ising Spin Glass Models on Heavy-Hex Graphs., , , , and . CoRR, (2023)Cost-Function-Dependent Barren Plateaus in Shallow Quantum Neural Networks., , , , and . CoRR, (2020)Practical Black Box Hamiltonian Learning., , and . CoRR, (2022)Layer VQE: A Variational Approach for Combinatorial Optimization on Noisy Quantum Computers., , , , , and . CoRR, (2021)The battle of clean and dirty qubits in the era of partial error correction., , , , , , and . Quantum, (July 2023)