Merge pull request #33 from XanaduAI/use-default-qubit

Change devices from `default.qubit.jax` to `default.qubit`

Author: mariaschuld

src/qml_benchmarks/models/circuit_centric.py

@@ -34,7 +34,7 @@ def __init__(
         jit=True,
         scaling=1.0,
         random_state=42,
-        dev_type="default.qubit.jax",
+        dev_type="default.qubit",
         qnode_kwargs={"interface": "jax-jit"},
     ):
         r"""
@@ -75,7 +75,7 @@ def __init__(
             max_vmap (int or None): The maximum size of a chunk to vectorise over. Lower values use less memory.
                 must divide batch_size.
             jit (bool): Whether to use just in time compilation.
-            dev_type (str): Pennylane device type; e.g. 'default.qubit.jax'.
+            dev_type (str): Pennylane device type; e.g. 'default.qubit'.
             qnode_kwargs (str): Keyword arguments for the circuit qnode.
             scaling (float): Factor by which to scale the input data.
             random_state (int): Seed used for pseudorandom number generation.

src/qml_benchmarks/models/data_reuploading.py

@@ -39,7 +39,7 @@ def __init__(
         max_vmap=None,
         jit=True,
         scaling=1.0,
-        dev_type="default.qubit.jax",
+        dev_type="default.qubit",
         qnode_kwargs={"interface": "jax-jit"},
         random_state=42,
     ):

src/qml_benchmarks/models/dressed_quantum_circuit.py

@@ -29,7 +29,7 @@ def __init__(
         jit=True,
         max_steps=100000,
         convergence_interval=200,
-        dev_type="default.qubit.jax",
+        dev_type="default.qubit",
         qnode_kwargs={"interface": "jax-jit"},
         scaling=1.0,
         random_state=42,

src/qml_benchmarks/models/iqp_kernel.py

@@ -35,7 +35,7 @@ def __init__(
         random_state=42,
         scaling=1.0,
         max_vmap=250,
-        dev_type="default.qubit.jax",
+        dev_type="default.qubit",
         qnode_kwargs={"interface": "jax-jit", "diff_method": None},
     ):
         r"""

src/qml_benchmarks/models/iqp_variational.py

@@ -32,7 +32,7 @@ def __init__(
         convergence_interval=200,
         random_state=42,
         scaling=1.0,
-        dev_type="default.qubit.jax",
+        dev_type="default.qubit",
         qnode_kwargs={"interface": "jax"},
     ):
         r"""

src/qml_benchmarks/models/projected_quantum_kernel.py

@@ -37,7 +37,7 @@ def __init__(
         jit=True,
         max_vmap=None,
         scaling=1.0,
-        dev_type="default.qubit.jax",
+        dev_type="default.qubit",
         qnode_kwargs={"interface": "jax-jit", "diff_method": None},
         random_state=42,
     ):

src/qml_benchmarks/models/quantum_kitchen_sinks.py

@@ -35,7 +35,7 @@ def __init__(
         var=1.0,
         jit=True,
         max_vmap=None,
-        dev_type="default.qubit.jax",
+        dev_type="default.qubit",
         qnode_kwargs={"interface": "jax", "diff_method": None},
         scaling=1.0,
         random_state=42,

src/qml_benchmarks/models/quantum_metric_learning.py

@@ -54,7 +54,7 @@ def __init__(
         jit=True,
         random_state=42,
         scaling=1.0,
-        dev_type="default.qubit.jax",
+        dev_type="default.qubit",
         qnode_kwargs={"interface": "jax-jit"},
     ):
         """

src/qml_benchmarks/models/quanvolutional_neural_network.py

@@ -81,7 +81,7 @@ def __init__(
         batch_size=32,
         random_state=42,
         scaling=1.0,
-        dev_type="default.qubit.jax",
+        dev_type="default.qubit",
         qnode_kwargs={"interface": "jax-jit"},
     ):
         r"""

src/qml_benchmarks/models/separable.py

@@ -34,7 +34,7 @@ def __init__(
         random_state=42,
         scaling=1.0,
         convergence_interval=200,
-        dev_type="default.qubit.jax",
+        dev_type="default.qubit",
         qnode_kwargs={"interface": "jax"},
     ):
         r"""
@@ -249,7 +249,7 @@ def __init__(
         jit=True,
         random_state=42,
         scaling=1.0,
-        dev_type="default.qubit.jax",
+        dev_type="default.qubit",
         qnode_kwargs={"interface": "jax", "diff_method": None},
     ):
         r"""