final first commit

qibojit-benchmarks/benchmarks/libraries/__init__.py

@@ -0,0 +1,74 @@
+def parse(options):
+    """Parse options from string.
+
+    Args:
+        options (str): String with options.
+                       It should have the form 'arg1=value1,arg2=value2,...'.
+
+    Returns:
+        dict: {'arg1': value1, 'arg2': value2, ...}
+
+    """
+    kwargs = {}
+    if options is not None:
+        for parameter in options.split(","):
+            if "=" in parameter:
+                k, v = parameter.split("=")
+                kwargs[k] = v
+            else:
+                raise ValueError(f"Cannot parse parameter {parameter}.")
+    return kwargs
+
+
+def get(backend_name, options=None):
+    options = parse(options)
+    if backend_name == "qibo":
+        from benchmarks.libraries.qibo import Qibo
+        return Qibo(**options)
+
+    elif backend_name == "qiskit":
+        from benchmarks.libraries.qiskit import Qiskit
+        return Qiskit(**options)
+    elif backend_name == "qiskit-gpu":
+        from benchmarks.libraries.qiskit import QiskitGpu
+        return QiskitGpu(**options)
+
+    elif backend_name == "cirq":
+        from benchmarks.libraries.cirq import Cirq
+        return Cirq()
+    elif backend_name == "qsim":
+        from benchmarks.libraries.cirq import QSim
+        return QSim(**options)
+    elif backend_name == "qsim-gpu":
+        from benchmarks.libraries.cirq import QSimGpu
+        return QSimGpu(**options)
+    elif backend_name == "qsim-cuquantum":
+        from benchmarks.libraries.cirq import QSimCuQuantum
+        return QSimCuQuantum(**options)
+    elif backend_name == "tfq":
+        from benchmarks.libraries.cirq import TensorflowQuantum
+        return TensorflowQuantum()
+
+    elif backend_name == "qulacs":
+        from benchmarks.libraries.qulacs import Qulacs
+        return Qulacs()
+    elif backend_name == "qulacs-gpu":
+        from benchmarks.libraries.qulacs import QulacsGpu
+        return QulacsGpu()
+
+    elif backend_name == "qcgpu":
+        from benchmarks.libraries.qcgpu import QCGPU
+        return QCGPU()
+
+    elif backend_name == "projectq":
+        from benchmarks.libraries.projectq import ProjectQ
+        return ProjectQ(**options)
+
+    elif backend_name == "hybridq":
+        from benchmarks.libraries.hybridq import HybridQ
+        return HybridQ(**options)
+    elif backend_name == "hybridq-gpu":
+        from benchmarks.libraries.hybridq import HybridQGPU
+        return HybridQGPU(**options)
+
+    raise KeyError(f"Unknown simulation library {backend_name}.")