return raw format.

Author: tencentqlab

tensorcircuit/cloud/abstraction.py

@@ -417,6 +417,8 @@ def results(
             s = self.state()
             if s != "completed":
                 raise TaskUnfinished(self.id_, s)
+            if format is not None and format == "raw":
+                return self.details().get("multi_raw", {})
             single_measz = "results" in self.details()
             multi_measz = "multi_result" in self.details()
             if not single_measz and not multi_measz:

tensorcircuit/cloud/tencent.py

@@ -449,6 +449,8 @@ def get_task_details(
             for i, res in enumerate(r["task"]["multi_results"]):
                 if "counts" in res:
                     r["task"]["multi_results"][i] = counts.sort_count(res["counts"])
+        if "multi_raw" in r["task"]:
+            r["task"]["multi_raw"] = r["task"]["multi_raw"]
         if "optimization" in r["task"]:
             if (
                 "pairs" in r["task"]["optimization"]
@@ -462,7 +464,6 @@ def get_task_details(
 
         # if not "logical_physical_mapping" in r["task"]:
         # r["task"]["logical_physical_mapping"] = None
-
         if prettify is False:
             return r["task"]  # type: ignore
         # make the results more readable
@@ -472,6 +473,7 @@ def get_task_details(
         if "ts" in r:
             for k in r["ts"]:
                 r["ts"][k] = datetime.fromtimestamp(r["ts"][k] / 1e6)
+        
         if r["lang"] == "TQASM":
             return r
         if "source" in r:

tests/05_test_multi_measure.py

@@ -55,7 +55,8 @@ def run_circuit(qc):
     # print(qc.to_tqasm())
     # n = qc._nqubits
     rf = t.results()  # 需返回 multi_results
-    return rf
+    rf_raw = t.results(format="raw")
+    return rf, rf_raw
 
 qc = gen_multi_measure_circuit(1.0)
 result = run_circuit(qc)