31 lines
760 B
Python
31 lines
760 B
Python
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import timeit
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from collections import deque
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import numpy as np
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def measure_execution_time(circuit, state, repeat=100, **kwargs):
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results = deque()
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for _ in range(repeat):
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s = state.deepcopy()
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start = timeit.default_timer()
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result = circuit * s
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stop = timeit.default_timer()
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results.append(stop - start)
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return min(results)
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def execution_statistics(circuits, state, scale=1, **kwargs):
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results = deque()
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for circuit in circuits:
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results.append(measure_execution_time(circuit, state, **kwargs))
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results = np.array(results, dtype=np.double)
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results /= scale
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N = len(results)
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avg = np.average(results)
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std_dev = np.std(results) / np.sqrt(N)
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return N, avg, std_dev
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