30 lines
1.0 KiB
Python
30 lines
1.0 KiB
Python
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from collections import deque
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import matplotlib
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import matplotlib.pyplot as plt
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import numpy as np
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import json
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matplotlib.rcParams.update({'errorbar.capsize': 2})
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results_graph0 = np.genfromtxt("circuit_scaling_graph0.csv")
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results_graph1 = np.genfromtxt("circuit_scaling_graph1.csv")
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with open("circuit_scaling_meta.json") as fin:
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meta = json.load(fin)
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h0 = plt.errorbar(results_graph0[:, 0], results_graph0[:, 2], results_graph0[:, 3]
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, label=f"Graphical Simulator $N_q={meta['nqbits0']}$ Qbits"
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, marker="^"
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, color="black")
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h1 = plt.errorbar(results_graph1[:, 0], results_graph1[:, 2], results_graph1[:, 3]
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, label=f"Graphical Simulator $N_q={meta['nqbits1']}$ Qbits"
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, marker="o"
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, color="black")
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plt.legend(handles=[h0, h1])
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plt.xlabel("Number of gates in circuit")
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plt.ylabel("Execution time per circuit [s]")
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plt.title(f"Execution Time for random Circuits")
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plt.show()
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#plt.savefig("scaling_circuits_linear.png", dpi=400)
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