LRE on hardware

mitiq-stress-test/cache_utils.py

@@ -0,0 +1,23 @@
+import pandas as pd
+import os
+
+
+# function to write out the result into a CSV file
+def save_result(cache_res, file_name="results/cached_results.csv"):
+    if not os.path.exists(file_name):
+        df = pd.DataFrame(
+            columns=[
+                "circuit",
+                "backend",
+                "result",
+                "degree",
+                "fold_multiplier",
+                "num_chunks",
+                "time",
+            ]
+        )
+        df.to_csv(file_name, index=False)
+    df = pd.read_csv(file_name)
+    df.loc[len(df)] = cache_res
+    df = df.sort_values(by=["circuit", "backend", "fold_multiplier"])
+    df.to_csv(file_name, index=False)

mitiq-stress-test/qft-4.qasm

@@ -0,0 +1,47 @@
+OPENQASM 2.0;
+include "qelib1.inc";
+qreg q[4];
+ry(pi/2) q[3];
+rx(pi) q[3];
+rz(pi/4) q[3];
+cx q[3],q[2];
+rz(-pi/4) q[2];
+cx q[3],q[2];
+rz(pi/4) q[2];
+ry(pi/2) q[2];
+rx(pi) q[2];
+rz(pi/4) q[2];
+rz(pi/8) q[3];
+cx q[3],q[1];
+rz(-pi/8) q[1];
+cx q[3],q[1];
+rz(pi/8) q[1];
+cx q[2],q[1];
+rz(-pi/4) q[1];
+cx q[2],q[1];
+rz(pi/4) q[1];
+ry(pi/2) q[1];
+rx(pi) q[1];
+rz(pi/4) q[1];
+rz(pi/8) q[2];
+rz(pi/16) q[3];
+cx q[3],q[0];
+rz(-pi/16) q[0];
+cx q[3],q[0];
+rz(pi/16) q[0];
+cx q[2],q[0];
+rz(-pi/8) q[0];
+cx q[2],q[0];
+rz(pi/8) q[0];
+cx q[1],q[0];
+rz(-pi/4) q[0];
+cx q[1],q[0];
+rz(pi/4) q[0];
+ry(pi/2) q[0];
+rx(pi) q[0];
+cx q[0],q[3];
+cx q[1],q[2];
+cx q[2],q[1];
+cx q[1],q[2];
+cx q[3],q[0];
+cx q[0],q[3];

mitiq-stress-test/requirements.txt

@@ -0,0 +1,4 @@
+mitiq[qiskit]
+qiskit-ibm-runtime
+matplotlib
+numpy

mitiq-stress-test/results/cached_results.csv

@@ -0,0 +1,112 @@
+circuit,backend,result,degree,fold_multiplier,num_chunks,time
+square-heisenberg-4,aer_simulator_from(ibm_sherbrooke),1.0,0,0,0,0.0
+square-heisenberg-4,aer_simulator_from(ibm_sherbrooke),0.626,0,0,0,1.0
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+square-heisenberg-4,aer_simulator_from(ibm_sherbrooke),0.7450000000000002,1,1,2,3.960434913635254
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