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x0, my_args=(), my_options=None ): # another non-stochastic minimizer for comparison\n \"COBYLA optimizer from SciPy library\"\n\n return minimize( func, x0, method='COBYLA', options=my_options, args=my_args )\n" ], "##characteristics#run#vqe_input#minimizer_src#min": "def my_cobyla( func, x0, my_args=(), my_options=None ): # another non-stochastic minimizer for comparison\n \"COBYLA optimizer from SciPy library\"\n\n return minimize( func, x0, method='COBYLA', options=my_options, args=my_args )\n", "##characteristics#run#vqe_input#minimizer_src#repeats": 3, "##characteristics#run#vqe_input#q_device_name#all": [ "QVM", "QVM", "QVM" ], "##characteristics#run#vqe_input#q_device_name#all_unique": [ "QVM" ], "##characteristics#run#vqe_input#q_device_name#min": "QVM", "##characteristics#run#vqe_input#q_device_name#repeats": 3, "##characteristics#run#vqe_input#sample_number#all": [ 50, 50, 50 ], "##characteristics#run#vqe_input#sample_number#all_unique": [ 50 ], 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"##characteristics#run#vqe_output#fun_validated#range_percent": -0.02000000000000002, "##characteristics#run#vqe_output#fun_validated#repeats": 3, "##characteristics#run#vqe_output#maxcv#all": [ 0.0, 0.0, 0.0 ], "##characteristics#run#vqe_output#maxcv#all_unique": [ 0.0 ], "##characteristics#run#vqe_output#maxcv#center": 0.0, "##characteristics#run#vqe_output#maxcv#exp": 0.0, "##characteristics#run#vqe_output#maxcv#exp_allx": [ 0.0 ], "##characteristics#run#vqe_output#maxcv#exp_ally": [ 100.0 ], "##characteristics#run#vqe_output#maxcv#exp_warning": "no", "##characteristics#run#vqe_output#maxcv#halfrange": 0.0, "##characteristics#run#vqe_output#maxcv#max": 0.0, "##characteristics#run#vqe_output#maxcv#mean": 0.0, "##characteristics#run#vqe_output#maxcv#min": 0.0, "##characteristics#run#vqe_output#maxcv#range": 0.0, "##characteristics#run#vqe_output#maxcv#repeats": 3, "##characteristics#run#vqe_output#message#all": [ "Optimization terminated successfully.", "Optimization terminated 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