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"##characteristics#run#vqe_input#minimizer_src#all": [ "def my_nelder_mead( func, x0, my_args=(), my_options=None ): # a non-stochastic minimizer for comparison\n \"Nelder-Mead optimizer from SciPy library\"\n\n return minimize( func, x0, method='Nelder-Mead', options=my_options, args=my_args )\n", "def my_nelder_mead( func, x0, my_args=(), my_options=None ): # a non-stochastic minimizer for comparison\n \"Nelder-Mead optimizer from SciPy library\"\n\n return minimize( func, x0, method='Nelder-Mead', options=my_options, args=my_args )\n", "def my_nelder_mead( func, x0, my_args=(), my_options=None ): # a non-stochastic minimizer for comparison\n \"Nelder-Mead optimizer from SciPy library\"\n\n return minimize( func, x0, method='Nelder-Mead', options=my_options, args=my_args )\n" ], "##characteristics#run#vqe_input#minimizer_src#all_unique": [ "def my_nelder_mead( func, x0, my_args=(), my_options=None ): # a non-stochastic minimizer for comparison\n \"Nelder-Mead optimizer from SciPy library\"\n\n return minimize( func, x0, method='Nelder-Mead', options=my_options, args=my_args )\n" ], "##characteristics#run#vqe_input#minimizer_src#min": "def my_nelder_mead( func, x0, my_args=(), my_options=None ): # a non-stochastic minimizer for comparison\n \"Nelder-Mead optimizer from SciPy library\"\n\n return minimize( func, x0, method='Nelder-Mead', options=my_options, args=my_args )\n", "##characteristics#run#vqe_input#minimizer_src#repeats": 3, "##characteristics#run#vqe_input#q_device_name#all": [ "8Q-Agave", "8Q-Agave", "8Q-Agave" ], "##characteristics#run#vqe_input#q_device_name#all_unique": [ "8Q-Agave" ], "##characteristics#run#vqe_input#q_device_name#min": "8Q-Agave", "##characteristics#run#vqe_input#q_device_name#repeats": 3, "##characteristics#run#vqe_input#sample_number#all": [ 1, 1, 1 ], "##characteristics#run#vqe_input#sample_number#all_unique": [ 1 ], "##characteristics#run#vqe_input#sample_number#center": 1.0, 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