From 58265fc8deacb5d7db91d2f4cc3ee6586365fbec Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Daniel=20Kn=C3=BCttel?= Date: Mon, 10 Feb 2020 20:10:51 +0100 Subject: [PATCH] some work on performance stuff --- ...s.py => generate_data_scaling_circuits.py} | 40 ++++++++++-------- ...bits.py => generate_data_scaling_qbits.py} | 37 ++++++++-------- performance/plot_scaling_circuits_linear.py | 29 +++++++++++++ performance/plot_scaling_qbits_linear.py | 29 +++++++++++++ performance/plot_scaling_qbits_log.py | 31 ++++++++++++++ performance/scaling_circuits.png | Bin 216347 -> 209171 bytes 6 files changed, 130 insertions(+), 36 deletions(-) rename performance/{scaling_circuits.py => generate_data_scaling_circuits.py} (69%) rename performance/{scaling_qbits.py => generate_data_scaling_qbits.py} (65%) create mode 100644 performance/plot_scaling_circuits_linear.py create mode 100644 performance/plot_scaling_qbits_linear.py create mode 100644 performance/plot_scaling_qbits_log.py diff --git a/performance/scaling_circuits.py b/performance/generate_data_scaling_circuits.py similarity index 69% rename from performance/scaling_circuits.py rename to performance/generate_data_scaling_circuits.py index 5b4a807..88ce816 100644 --- a/performance/scaling_circuits.py +++ b/performance/generate_data_scaling_circuits.py @@ -1,6 +1,7 @@ from collections import deque import matplotlib.pyplot as plt import numpy as np +import json from pyqcs import State, H, X, S, CZ from pyqcs.graph.state import GraphState @@ -35,13 +36,14 @@ def test_scaling_circuits(state_factory if __name__ == "__main__": nstart = 400 - nstop = 1600 + nstop = 800 step = 50 - ncircuits = 250 + ncircuits = 50 nqbits0 = 100 nqbits1 = 50 + seed = 0xdeadbeef - np.random.seed(0xdeadbeef) + np.random.seed(seed) results_graph0 = test_scaling_circuits(GraphState.new_zero_state , nstart , nstop @@ -49,7 +51,7 @@ if __name__ == "__main__": , nqbits0 , ncircuits , repeat=10) - np.random.seed(0xdeadbeef) + np.random.seed(seed) results_graph1 = test_scaling_circuits(GraphState.new_zero_state , nstart , nstop @@ -58,19 +60,21 @@ if __name__ == "__main__": , ncircuits , repeat=10) - h0 = plt.errorbar(results_graph0[:, 0], results_graph0[:, 2], results_graph0[:, 3] - , label=f"Graphical Simulator $N_q={nqbits0}$ Qbits" - , marker="^" - , color="black") - h1 = plt.errorbar(results_graph1[:, 0], results_graph1[:, 2], results_graph1[:, 3] - , label=f"Graphical Simulator $N_q={nqbits1}$ Qbits" - , marker="o" - , color="black") + np.savetxt("circuit_scaling_graph0.csv", results_graph0) + print("saved results0 to circuit_scaling_graph0.csv") + np.savetxt("circuit_scaling_graph1.csv", results_graph1) + print("saved results1 to circuit_scaling_graph1.csv") - plt.legend(handles=[h0, h1]) - plt.xlabel("Number of gates in circuit") - plt.ylabel("Execution time per circuit [s]") - plt.title(f"Execution Time for random Circuits") + meta = { + "nstart": 400 + , "nstop": 1800 + , "step": 50 + , "ncircuits": 50 + , "nqbits0": 100 + , "nqbits1": 50 + , "seed": 0xdeadbeef} + + with open("circuit_scaling_meta.json", "w") as fout: + json.dump(meta, fout) + print("saved meta to circuit_scaling_meta.json") - #plt.show() - plt.savefig("scaling_circuits.png", dpi=400) diff --git a/performance/scaling_qbits.py b/performance/generate_data_scaling_qbits.py similarity index 65% rename from performance/scaling_qbits.py rename to performance/generate_data_scaling_qbits.py index c63c87e..3afd270 100644 --- a/performance/scaling_qbits.py +++ b/performance/generate_data_scaling_qbits.py @@ -1,6 +1,7 @@ from collections import deque import matplotlib.pyplot as plt import numpy as np +import json from pyqcs import State, H, X, S, CZ from pyqcs.graph.state import GraphState @@ -31,18 +32,19 @@ def test_scaling_qbits(state_factory if __name__ == "__main__": nstart = 4 - nstop = 19 - ncircuits = 250 + nstop = 16 + ncircuits = 50 ngates_per_qbit = 100 + seed = 0xdeadbeef - np.random.seed(0xdeadbeef) + np.random.seed(seed) results_naive = test_scaling_qbits(State.new_zero_state , nstart , nstop , ngates_per_qbit , ncircuits , repeat=10) - np.random.seed(0xdeadbeef) + np.random.seed(seed) results_graph = test_scaling_qbits(GraphState.new_zero_state , nstart , nstop @@ -50,19 +52,18 @@ if __name__ == "__main__": , ncircuits , repeat=10) - h0 = plt.errorbar(results_naive[:, 0], results_naive[:, 2], results_naive[:, 3] - , label=f"Dense Vector Simulator $N_c={int(results_naive[:, 1][0])}$ circuits" - , marker="o" - , color="black") - h1 = plt.errorbar(results_graph[:, 0], results_graph[:, 2], results_graph[:, 3] - , label=f"Graphical Simulator $N_c={int(results_graph[:, 1][0])}$ circuits" - , marker="^" - , color="black") + np.savetxt("qbit_scaling_naive.csv", results_naive) + print("saved naive results to qbit_scaling_naive.csv") + np.savetxt("qbit_scaling_graph.csv", results_graph) + print("saved graph results to qbit_scaling_graph.csv") - plt.legend(handles=[h0, h1]) - plt.xlabel("Number of Qbits $N_q$") - plt.ylabel("Execution time per circuit [s]") - plt.title(f"Execution Time for ${ngates_per_qbit}\\times N_q$ Gates with random Circuits (rescaled)") + meta = {"nstart": nstart + , "nstop": nstop + , "ncircuits": ncircuits + , "ngates_per_qbit": ngates_per_qbit + , "seed": seed} + + with open("qbit_scaling_meta.json", "w") as fout: + json.dump(meta, fout) + print("saved meta data to qbit_scaling_meta.json") - #plt.show() - plt.savefig("Figure_1.png", dpi=400) diff --git a/performance/plot_scaling_circuits_linear.py b/performance/plot_scaling_circuits_linear.py new file mode 100644 index 0000000..d6b8005 --- /dev/null +++ b/performance/plot_scaling_circuits_linear.py @@ -0,0 +1,29 @@ +from collections import deque +import matplotlib +import matplotlib.pyplot as plt +import numpy as np +import json + +matplotlib.rcParams.update({'errorbar.capsize': 2}) + +results_graph0 = np.genfromtxt("circuit_scaling_graph0.csv") +results_graph1 = np.genfromtxt("circuit_scaling_graph1.csv") +with open("circuit_scaling_meta.json") as fin: + meta = json.load(fin) + +h0 = plt.errorbar(results_graph0[:, 0], results_graph0[:, 2], results_graph0[:, 3] + , label=f"Graphical Simulator $N_q={meta['nqbits0']}$ Qbits" + , marker="^" + , color="black") +h1 = plt.errorbar(results_graph1[:, 0], results_graph1[:, 2], results_graph1[:, 3] + , label=f"Graphical Simulator $N_q={meta['nqbits1']}$ Qbits" + , marker="o" + , color="black") + +plt.legend(handles=[h0, h1]) +plt.xlabel("Number of gates in circuit") +plt.ylabel("Execution time per circuit [s]") +plt.title(f"Execution Time for random Circuits") + +plt.show() +#plt.savefig("scaling_circuits_linear.png", dpi=400) diff --git a/performance/plot_scaling_qbits_linear.py b/performance/plot_scaling_qbits_linear.py new file mode 100644 index 0000000..e051a9b --- /dev/null +++ b/performance/plot_scaling_qbits_linear.py @@ -0,0 +1,29 @@ +import matplotlib.pyplot as plt +import matplotlib +import numpy as np +import json + +matplotlib.rcParams.update({'errorbar.capsize': 2}) + +results_naive = np.genfromtxt("qbit_scaling_naive.csv") +results_graph = np.genfromtxt("qbit_scaling_graph.csv") +with open("qbit_scaling_meta.json") as fin: + meta = json.load(fin) + + +h0 = plt.errorbar(results_naive[:, 0], results_naive[:, 2], results_naive[:, 3] + , label=f"Dense Vector Simulator $N_c={int(results_naive[:, 1][0])}$ circuits" + , marker="o" + , color="black") +h1 = plt.errorbar(results_graph[:, 0], results_graph[:, 2], results_graph[:, 3] + , label=f"Graphical Simulator $N_c={int(results_graph[:, 1][0])}$ circuits" + , marker="^" + , color="black") + +plt.legend(handles=[h0, h1]) +plt.xlabel("Number of Qbits $N_q$") +plt.ylabel("Execution time per circuit [s]") +plt.title(f"Execution Time for ${meta['ngates_per_qbit']}\\times N_q$ Gates with random Circuits (rescaled)") + +plt.show() +#plt.savefig("scaling_qbits_linear.png", dpi=400) diff --git a/performance/plot_scaling_qbits_log.py b/performance/plot_scaling_qbits_log.py new file mode 100644 index 0000000..6bffa45 --- /dev/null +++ b/performance/plot_scaling_qbits_log.py @@ -0,0 +1,31 @@ +import matplotlib.pyplot as plt +import matplotlib +import numpy as np +import json + +matplotlib.rcParams.update({'errorbar.capsize': 2}) + +results_naive = np.genfromtxt("qbit_scaling_naive.csv") +results_graph = np.genfromtxt("qbit_scaling_graph.csv") +with open("qbit_scaling_meta.json") as fin: + meta = json.load(fin) + + +h0 = plt.errorbar(results_naive[:, 0], results_naive[:, 2], results_naive[:, 3] + , label=f"Dense Vector Simulator $N_c={int(results_naive[:, 1][0])}$ circuits" + , marker="o" + , color="black") +h1 = plt.errorbar(results_graph[:, 0], results_graph[:, 2], results_graph[:, 3] + , label=f"Graphical Simulator $N_c={int(results_graph[:, 1][0])}$ circuits" + , marker="^" + , color="black") + +plt.yscale("log") +plt.legend(handles=[h0, h1]) +plt.xlabel("Number of Qbits $N_q$") +plt.ylabel("Execution time per circuit [s]") +plt.title(f"Execution Time for ${meta['ngates_per_qbit']}\\times N_q$ Gates with random Circuits (rescaled)") + +plt.show() +#plt.savefig("scaling_qbits_log.png", dpi=400) + diff --git a/performance/scaling_circuits.png b/performance/scaling_circuits.png index dfbe67fd55db5a5440720f50f7685692f8b4b5b4..7e4938b9bbcf4a0a12a43874320a44d515e58b5d 100644 GIT binary patch literal 209171 zcmeFZcTknt_AR>A?zY?5MnsZXQ9uF7Nm~IC1SLoYB}$eI5^dWA2uhT!0wP&*23v(q z5(FeCC8rGn0+R1o`0H~{)&1vHz4z)?-8xit6aDu0tu^PEV~jc1et20{a`T408z>aY zW~mG3VqI)sgOIOPObcZz+j=?rhH&3$}G;4lAf%Lk{$#W`#1FTcCC z$!BlRDWAQA`o`nQ z)I8&c_;~Zp$3I0be~a}WSk@2HyxNd-1THA zeUh_0Khkq&tLUrYtCTY9k){+M9+SrNmX?;Lodp7TAtrHg@!Du9zhi8tgHY4oRLhV8 zZe?2TdpK3E-1oS^Owqy^L#9bnvajws#pr+&%B2I5Zdwgy{>DL?b`P&6sVUhqIBzv= z&0wt-TUjIz7N56^GWk(#Wv=Eazom{$FxTNur}4t4d=^@4+C{>BW(i6OyYt73oEU9B zo~T^(*6qpZ@%Fs8nc=Ec6Yf3wAfXfjc1@c0CALkP%7>{Dyk;SX58ob-rZPLR z{j!x=12+(_oT9~PQ1vw4{Lc7o?Zs}ow{8?Yy%LXIoL0SM4!ut#bxOVH^*b%vvdmI% 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