Authenticate IBM Quantum account with GH actions to run unit tests

.github/workflows/functional_tests.yaml

@@ -34,6 +34,8 @@ jobs:
         # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
         flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
     - name: Test with pytest
+      env:
+        IBM_API_TOKEN: ${{ secrets.IBM_API_TOKEN }}
       run: |
         python -m pytest -m "not skip"
     - name: Install TorchQuantum

test/plugin/test_qiskit_plugins.py

@@ -22,7 +22,6 @@
 SOFTWARE.
 """
 
-from qiskit import QuantumCircuit
 import numpy as np
 import random
 from qiskit.opflow import StateFn, X, Y, Z, I
@@ -32,17 +31,15 @@
 from torchquantum.plugin import op_history2qiskit, QiskitProcessor
 from torchquantum.util import switch_little_big_endian_state
 
-import torch
-import pytest
-
 pauli_str_op_dict = {
     "X": X,
     "Y": Y,
     "Z": Z,
     "I": I,
 }
 
-@pytest.mark.skip
+
+# @pytest.mark.skip
 def test_expval_observable():
     # seed = 0
     # random.seed(seed)

torchquantum/plugin/qiskit/qiskit_processor.py

@@ -22,12 +22,13 @@
 SOFTWARE.
 """
 
+import os
 import torch
 import torchquantum as tq
 import pathos.multiprocessing as multiprocessing
 import itertools
 
-from qiskit import Aer, execute, IBMQ, transpile, QuantumCircuit
+from qiskit import Aer, execute, transpile, QuantumCircuit
 from qiskit.providers.aer.noise import NoiseModel
 from qiskit.tools.monitor import job_monitor
 from qiskit.exceptions import QiskitError
@@ -38,7 +39,6 @@
 )
 from torchquantum.util import (
     get_expectations_from_counts,
-    get_provider,
     get_provider_hub_group_project,
     get_circ_stats,
 )
@@ -72,7 +72,7 @@ def run_job_worker(data):
             break
         except Exception as e:
             if "Job was cancelled" in str(e):
-                logger.warning(f"Job is cancelled manually.")
+                logger.warning("Job is cancelled manually.")
                 return None
             else:
                 logger.warning(f"Job failed because {e}, rerun now.")
@@ -191,8 +191,10 @@ def qiskit_init(self):
 
         if self.backend is None:
             # initialize now
-            IBMQ.load_account()
+            # Retrieve token from environment.
+            token = os.getenv("IBM_API_TOKEN")
             self.provider = get_provider_hub_group_project(
+                token=token,
                 hub=self.hub,
                 group=self.group,
                 project=self.project,

torchquantum/util/utils.py

@@ -279,7 +279,7 @@ def switch_little_big_endian_state(state):
         is_batch_state = False
         reshape = [2] * int(np.log2(state.size))
     else:
-        logger.exception(f"Dimension of statevector should be 1 or 2")
+        logger.exception("Dimension of statevector should be 1 or 2")
         raise ValueError
 
     original_shape = state.shape
@@ -467,7 +467,7 @@ def build_module_from_op_list(
            ]
            module = build_module_from_op_list(op_list, remove_ops=True, thres=0.1)
        """
-    logger.info(f"Building module from op_list...")
+    logger.info("Building module from op_list...")
     thres = 1e-5 if thres is None else thres
     n_removed_ops = 0
     ops = []
@@ -499,7 +499,7 @@ def build_module_from_op_list(
     if n_removed_ops > 0:
         logger.warning(f"Remove in total {n_removed_ops} pruned operations.")
     else:
-        logger.info(f"Do not remove any operations.")
+        logger.info("Do not remove any operations.")
 
     return tq.QuantumModuleFromOps(ops)
 
@@ -770,8 +770,8 @@ def get_provider(backend_name, hub=None):
             try:
                 provider = QiskitRuntimeService(channel = "ibm_quantum", instance = "ibm-q-research/mass-inst-tech-1/main")
             except QiskitError:
-                # logger.warning(f"Cannot use MIT backend, roll back to open")
-                logger.warning(f"Use the open backend")
+                # logger.warning("Cannot use MIT backend, roll back to open")
+                logger.warning("Use the open backend")
                 provider = QiskitRuntimeService(channel = "ibm_quantum", instance = "ibm-q/open/main")
         elif hub == "mit":
             provider = QiskitRuntimeService(channel = "ibm_quantum", instance = "ibm-q-research/MIT-1/main")
@@ -781,8 +781,8 @@ def get_provider(backend_name, hub=None):
     return provider
 
 
-def get_provider_hub_group_project(hub="ibm-q", group="open", project="main"):
-    provider = QiskitRuntimeService(channel = "ibm_quantum", instance = f"{hub}/{group}/{project}")
+def get_provider_hub_group_project(token, hub="ibm-q", group="open", project="main"):
+    provider = QiskitRuntimeService(channel = "ibm_quantum", token=token, instance = f"{hub}/{group}/{project}")
     return provider
 
 
@@ -1048,7 +1048,7 @@ def clone_model(model_to_clone):#i have to note:this clone_model function was ma
     #####################
 
     for idx, key in enumerate(state_dict_plus_shift):
-        if idx < 2:  # Skip the first two keys because they are not paramters
+        if idx < 2:  # Skip the first two keys because they are not parameters
             continue
         state_dict_plus_shift[key]  +=  shift_rate
         state_dict_minus_shift[key] -=  shift_rate