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[1] Patrick J. Coles,et al. Variational quantum state diagonalization , 2018, npj Quantum Information.
[2] F. Brandão,et al. For Fixed Control Parameters the Quantum Approximate Optimization Algorithm's Objective Function Value Concentrates for Typical Instances , 2018, 1812.04170.
[3] Jianxin Chen,et al. Alibaba Cloud Quantum Development Platform: Applications to Quantum Algorithm Design , 2019, 1909.02559.
[4] Prasanna Balaprakash,et al. Reinforcement-Learning-Based Variational Quantum Circuits Optimization for Combinatorial Problems , 2019, ArXiv.
[5] D Zhu,et al. Training of quantum circuits on a hybrid quantum computer , 2018, Science Advances.
[6] Alec Radford,et al. Proximal Policy Optimization Algorithms , 2017, ArXiv.
[7] Danna Zhou,et al. d. , 1934, Microbial pathogenesis.
[8] Thomas Stützle,et al. Improvement Strategies for the F-Race Algorithm: Sampling Design and Iterative Refinement , 2007, Hybrid Metaheuristics.
[9] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[10] Alexander Elgart,et al. The Adiabatic Theorem of Quantum Mechanics , 1998 .
[11] Ilya Safro,et al. Network Community Detection on Small Quantum Computers , 2018, Advanced Quantum Technologies.
[12] Giacomo Nannicini,et al. Improving Variational Quantum Optimization using CVaR , 2019, Quantum.
[13] Mikhail Smelyanskiy,et al. Practical optimization for hybrid quantum-classical algorithms , 2017, 1701.01450.
[14] Gavin E. Crooks,et al. Performance of the Quantum Approximate Optimization Algorithm on the Maximum Cut Problem , 2018, 1811.08419.
[15] Ojas Parekh,et al. Quantum Optimization and Approximation Algorithms. , 2019 .
[16] Keisuke Fujii,et al. Sequential minimal optimization for quantum-classical hybrid algorithms , 2019, Physical Review Research.
[17] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.
[18] Frank Hutter,et al. Initializing Bayesian Hyperparameter Optimization via Meta-Learning , 2015, AAAI.
[19] Leo Zhou,et al. Quantum Approximate Optimization Algorithm: Performance, Mechanism, and Implementation on Near-Term Devices , 2018, Physical Review X.
[20] Gian Giacomo Guerreschi,et al. QAOA for Max-Cut requires hundreds of qubits for quantum speed-up , 2018, Scientific Reports.
[21] Rupak Biswas,et al. From the Quantum Approximate Optimization Algorithm to a Quantum Alternating Operator Ansatz , 2017, Algorithms.
[22] David P. Williamson,et al. Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming , 1995, JACM.
[23] Tsuyoshi Murata,et al. {m , 1934, ACML.
[24] M. Hastings,et al. Training A Quantum Optimizer , 2016, 1605.05370.
[25] J. McClean,et al. Strategies for quantum computing molecular energies using the unitary coupled cluster ansatz , 2017, Quantum Science and Technology.
[26] Hartmut Neven,et al. Optimizing Variational Quantum Algorithms using Pontryagin's Minimum Principle , 2016, ArXiv.
[28] G. Evans,et al. Learning to Optimize , 2008 .
[29] Marcin Andrychowicz,et al. Learning to learn by gradient descent by gradient descent , 2016, NIPS.
[30] Ilya Safro,et al. Multistart Methods for Quantum Approximate optimization , 2019, 2019 IEEE High Performance Extreme Computing Conference (HPEC).
[31] B. Apolloni,et al. Quantum stochastic optimization , 1989 .
[32] Ilya Safro,et al. Community Detection Across Emerging Quantum Architectures , 2018, ArXiv.
[33] Prasanna Balaprakash,et al. DeepHyper: Asynchronous Hyperparameter Search for Deep Neural Networks , 2018, 2018 IEEE 25th International Conference on High Performance Computing (HiPC).
[34] Masoud Mohseni,et al. Learning to learn with quantum neural networks via classical neural networks , 2019, ArXiv.
[35] Jost Tobias Springenberg,et al. Supplementary material for : Initializing Bayesian Hyperparameter Optimization via Meta-Learning , 2015 .
[36] M. Leib,et al. Comparison of QAOA with Quantum and Simulated Annealing , 2019, 1901.01903.
[37] P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .
[38] Lars Kotthoff,et al. Automated Machine Learning: Methods, Systems, Challenges , 2019, The Springer Series on Challenges in Machine Learning.
[39] E. Farhi,et al. A Quantum Approximate Optimization Algorithm , 2014, 1411.4028.