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Automated quantum programming via reinforcement learning for combinatorial optimization

By design, the agents were constrained to 25 uncompiled instructions.

Through training, for all problems, the expected length of the trained agent programs is decreased compared to those of the untrained agent.

If too much decoherence is experienced by the later stages of the program, one could expect a strong degradation in performance, as evidenced by the decreased episode score between the QVM and QPU for the QAOA.

Read e-book Paradigms of Combinatorial Optimization: Problems and New Approaches, Volume 2 (Iste)

International Journal of Control 87 :8, ETRI Journal 36 :4, Journal of the Franklin Institute :8, Journal of the Optical Society of America A 31 :8, ACM Transactions on Graphics 33 :4, Numerical Functional Analysis and Optimization 35 , Proceedings of the 33rd Chinese Control Conference , Theoretical Chemistry Accounts Knowledge-Based Systems 65 , IET Communications 8 :9, Journal of High Energy Physics Automatica 50 :6, Computational Optimization and Applications 58 :2, Asian-European Journal of Mathematics 07 , International Journal of Approximate Reasoning 55 :4, Journal of Functional Analysis , Journal of Industrial and Management Optimization 11 :1, Automatica 50 :5, Physical Review A 89 The International Journal of Robotics Research 33 :6, Machine Learning 94 :3, New Journal of Physics 16 :3, Nonlinear Dynamics 75 :4, International Journal of Robust and Nonlinear Control 24 :3, IET Communications 8 :2, Nonlinear Analysis: Hybrid Systems 11 , Procedia - Social and Behavioral Sciences , Abstract and Applied Analysis , Journal of Applied Research and Technology 12 :3, Journal of Applied Mathematics , American Journal of Operations Research 04 , Monthly Notices of the Royal Astronomical Society :3, Encyclopedia of Systems and Control, Detection in High Dimensions.

Optimization Letters 6 :8, Pattern Recognition 45 , Scientific Reports 2 Journal of Inequalities and Applications Journal of the Optical Society of America A 29 , Physical Review A 86 Journal of Global Optimization 54 :3, Operations Research Letters 40 :6, Signal Processing 92 , New Journal of Physics 14 , International Journal of Systems Science 43 , Applied Mathematical Modelling 36 , Distributed Sensor Networks, Second Edition, Electric Power Systems Research 90 , Mathematical Biosciences :1, Journal of Sound and Vibration , Cognitive Radio Communications and Networking, Electric Power Components and Systems 40 , Computational Management Science 9 :3, Journal of Computational Biology 19 :8, Metrika 75 :5, Nonlinear Dynamics 69 , Operations Research Letters 40 :4, Automatica 48 :6, Physical Review A 85 Computational Optimization and Applications 52 :2, Journal of Global Optimization 53 :2, Optimization Methods and Software 27 :3, Engineering Optimization 44 :6, Knowledge-Based Systems 30 , European Journal of Operational Research :3, Journal of Global Optimization 53 :1, Mathematical Methods of Operations Research 75 :2, Probabilistic Engineering Mechanics 28 , Matrix properties, examples and a clustered bibliography on copositive optimization.

Future Intelligent Information Systems, Journal of Process Control 20 , Mathematical Programming Computation 2 , Advances in Data Analysis and Classification 4 :4, Mathematics of Operations Research 35 :4, New Journal of Physics 12 :9, International Journal of Control 83 :9, Physical Review A 82 Journal of Industrial and Management Optimization 6 :4, Wiley Interdisciplinary Reviews: Computational Statistics 2 :5, Positivity 14 :3, Applied Mathematics Letters 23 :8, International Journal of Control, Automation and Systems 8 :4, Journal of Systems Science and Complexity 23 :4, The Journal of Chemical Physics :1, Linear Algebra and its Applications :1, Journal of Guidance, Control, and Dynamics 33 :4, Neurocomputing 73 , Computer Networks 54 :9, Physical Review A 81 Journal of Computational Physics , Machine Learning 79 , Structural and Multidisciplinary Optimization 41 :5, Magnetic Resonance in Medicine 63 :5, Acta Numerica 19 , Chemometrics and Intelligent Laboratory Systems :2, Applied Mathematics and Computation :4, Signal Processing 90 :4, Optics Communications :5, Applied Physics B 98 :4, IET Systems Biology 4 :2, Physica A: Statistical Mechanics and its Applications :3, SIAM Review 52 :3, Signal Processing 90 :1, Machine Learning 78 , Foundations of Set-Semidefinite Optimization.

Physical Review Letters 99 Physical Review A 76 Optimal Control Applications and Methods 28 :6, Optimization Letters 2 :1, Pattern Recognition 40 , Optimization Methods and Software 22 :5, Journal of Interdisciplinary Mathematics 10 :5, Precision Engineering 31 :4, Operations Research Letters 35 :5, Chemical Physics Letters , Journal of Guidance, Control, and Dynamics 30 :5, Knowledge and Information Systems 13 :1, Optimization and Engineering 8 :3, International Journal of Machine Tools and Manufacture 47 , Automatica 43 :8, International Journal of Theoretical Physics 46 :6, Econometric Theory 23 Physics Letters A :6, Physical Review A 75 Journal of Physics: Conference Series 67 , IIE Transactions 39 :7, Journal of Global Optimization 38 :1, Journal of Computational and Applied Mathematics :1, Journal of Pure and Applied Algebra :1, Mathematische Zeitschrift :1, Mathematical Methods of Operations Research 65 :1, International Journal of Control 80 :2, Journal of Interdisciplinary Mathematics 10 :1, Optimization Letters 1 :2, SIAM Review 49 :3, SIAM Review 49 :4, Genetics Selection Evolution 39 :1, 3.

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14. Neural Combinatorial Optimization with Reinforcement Learning. Samy Bengio

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NIPS 2017 Spotlight - Learning Combinatorial Optimization Algorithms over Graphs

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