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Bart van der Vecht
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Mar 17, 2022
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import datetime | ||
import json | ||
import os | ||
from pathlib import Path | ||
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import matplotlib.pyplot as plt | ||
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COMPILE_VERSIONS = ["nqasm_retry", "host_retry"] | ||
FORMATS = { | ||
"nqasm_retry": "-ro", | ||
"host_retry": "-bs", | ||
} | ||
FORMATS_2 = { | ||
"nqasm_retry": "--ro", | ||
"host_retry": "--bo", | ||
} | ||
VERSION_LABELS = { | ||
"nqasm_retry": "NetQASM retry", | ||
"host_retry": "Host retry", | ||
} | ||
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X_LABELS = { | ||
"fidelity": "Fidelity", | ||
"rate": "Success probability per entanglement attempt", | ||
"t2": "T2 (ns)", | ||
"gate_noise": "2-qubit gate depolarising probability", | ||
"gate_noise_trap": "2-qubit gate depolarising probability", | ||
"gate_time": "2-qubit gate duration (ms)", | ||
"gate_time_trap": "2-qubit gate duration (ms)", | ||
"latency": "Host <-> QNodeOS latency (ms)", | ||
} | ||
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def create_png(param_name): | ||
output_dir = os.path.join(os.path.dirname(__file__), "plots") | ||
Path(output_dir).mkdir(parents=True, exist_ok=True) | ||
timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S") | ||
output_path = os.path.join(output_dir, f"bqc_sweep_{param_name}_{timestamp}.png") | ||
plt.savefig(output_path) | ||
print(f"plot written to {output_path}") | ||
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def plot_host_qnos_latency(data: Dict[float, SimulationOutput]): | ||
param_name = "host_qnos_latency" | ||
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data_path = os.path.join( | ||
os.path.dirname(__file__), f"sweep_data_bqc/sweep_{param_name}.json" | ||
) | ||
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with open(data_path, "r") as f: | ||
all_data = json.load(f) | ||
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fig, ax = plt.subplots() | ||
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ax.grid() | ||
ax.set_xlabel(X_LABELS[param_name]) | ||
ax.set_ylabel("Error rate") | ||
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for version in COMPILE_VERSIONS: | ||
data = all_data[version] | ||
sweep_values = [v["sweep_value"] for v in data] | ||
error_rates = [v["error_rate"] for v in data] | ||
std_errs = [v["std_err"] for v in data] | ||
ax.errorbar( | ||
x=sweep_values, | ||
y=error_rates, | ||
yerr=std_errs, | ||
fmt=FORMATS[version], | ||
label=VERSION_LABELS[version], | ||
) | ||
|
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ax.set_title( | ||
"BQC trap round error rate vs two-qubit gate noise probability", | ||
wrap=True, | ||
) | ||
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# ax.set_ylim(0.10, 0.35) | ||
# ax.axhline(y=0.25, color="red", label="BQC threshold") | ||
ax.legend() | ||
# plt.tight_layout() | ||
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create_png(param_name) | ||
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|
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if __name__ == "__main__": | ||
plot_gate_noise_trap() |
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analysis/fidelity_constraint/sweep_data_bqc/host_qnos_latency_20220307_132351.json
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{ | ||
"nqasm_retry": { | ||
"1000000": { | ||
"error_rate": 0.0, | ||
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} |
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analysis/fidelity_constraint/sweep_data_bqc/host_qnos_latency_20220307_133555.json
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analysis/fidelity_constraint/sweep_data_bqc/host_qnos_latency_20220307_133638.json
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analysis/fidelity_constraint/sweep_data_bqc/host_qnos_latency_20220307_133659.json
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analysis/fidelity_constraint/sweep_data_bqc/host_qnos_latency_20220307_133919.json
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