# The configuration file of quantum portfolio optimization problem.# This field specifies whether to use random data for stocks, or stock data provided by the customer.# stock = 'random'# stock = 'custom'stock='demo'# Get stock data from demo file or custom filedemo_data_path='demo_stock.csv'custom_data_path='file_name.csv'# Specifies the start_time and end_time of random stock [random_data]start_time=[2016,1,1]end_time=[2016,1,30]# This field stores information about the asset, risk, etc.[stock_para]# Number of investable projectsnum_asset=7# The risk factor of investment decision makingrisk_weight=0.5# The budgetbudget=0#The penaltypenalty=0# This field stores parameters for the parametric quantum circuits[train_para]# The depth of the quantum circuitscircuit_depth=2# Number of optimization cycles, default is 100.iterations=600# The rate of optimization of gradient descent, default is 0.4.learning_rate=0.2