Remove backend

src/qibotn/backends.py

@@ -1,129 +0,0 @@
-from qibo.backends import NumpyBackend
-from qibo.config import raise_error
-from qibotn import cutn
-from qibotn import quimb
-from qibo.states import CircuitResult
-import numpy as np
-
-
-class QiboTNBackend(NumpyBackend):
-    def __init__(self, platform):
-        super().__init__()
-        self.name = "qibotn"
-        if (
-            platform == "cu_tensornet"
-            or platform == "cu_mps"
-            or platform == "qu_tensornet"
-            or platform == "cu_tensornet_mpi"
-            or platform == "cu_tensornet_mpi_expectation"
-            or platform == "cu_tensornet_expectation"
-            or platform == "cu_tensornet_nccl"
-            or platform == "cu_tensornet_nccl_expectation"
-        ):  # pragma: no cover
-            self.platform = platform
-        else:
-            raise_error(
-                NotImplementedError, "QiboTN cannot support the specified backend."
-            )
-
-    def apply_gate(self, gate, state, nqubits):  # pragma: no cover
-        raise_error(NotImplementedError, "QiboTN cannot apply gates directly.")
-
-    def apply_gate_density_matrix(self, gate, state, nqubits):  # pragma: no cover
-        raise_error(NotImplementedError, "QiboTN cannot apply gates directly.")
-
-    def assign_measurements(self, measurement_map, circuit_result):
-        raise_error(NotImplementedError, "Not implemented in QiboTN.")
-
-    def execute_circuit(
-        self, circuit, initial_state=None, nshots=None, return_array=False
-    ):  # pragma: no cover
-        """Executes a quantum circuit.
-
-        Args:
-            circuit (:class:`qibo.models.circuit.Circuit`): Circuit to execute.
-            initial_state (:class:`qibo.models.circuit.Circuit`): Circuit to prepare the initial state.
-                If ``None`` the default ``|00...0>`` state is used.
-
-        Returns:
-            xxx.
-
-        """
-
-        if self.platform == "cu_tensornet":
-            if initial_state is not None:
-                raise_error(NotImplementedError, "QiboTN cannot support initial state.")
-
-            state = cutn.eval(circuit, self.dtype)
-
-        if self.platform == "cu_mps":
-            if initial_state is not None:
-                raise_error(NotImplementedError, "QiboTN cannot support initial state.")
-
-            gate_algo = {
-                "qr_method": False,
-                "svd_method": {
-                    "partition": "UV",
-                    "abs_cutoff": 1e-12,
-                },
-            }  # make this user input
-            state = cutn.eval_mps(circuit, gate_algo, self.dtype)
-
-        if self.platform == "qu_tensornet":
-            # init_state = np.random.random(2**circuit.nqubits) + 1j * np.random.random(2**circuit.nqubits)
-            # init_state = init_state / np.sqrt((np.abs(init_state) ** 2).sum())
-            init_state = np.zeros(2**circuit.nqubits, dtype=self.dtype)
-            init_state[0] = 1.0
-            state = quimb.eval(circuit.to_qasm(), init_state, backend="numpy")
-
-        if self.platform == "cu_tensornet_mpi":
-            if initial_state is not None:
-                raise_error(NotImplementedError, "QiboTN cannot support initial state.")
-
-            # state, rank = cutn.eval_tn_MPI(circuit, self.dtype,32)
-            state, rank = cutn.eval_tn_MPI_2(circuit, self.dtype, 32)
-            if rank > 0:
-                state = np.array(0)
-
-        if self.platform == "cu_tensornet_nccl":
-            if initial_state is not None:
-                raise_error(NotImplementedError, "QiboTN cannot support initial state.")
-
-            # state, rank = cutn.eval_tn_MPI(circuit, self.dtype,32)
-            state, rank = cutn.eval_tn_nccl(circuit, self.dtype, 32)
-            if rank > 0:
-                state = np.array(0)
-
-        if self.platform == "cu_tensornet_expectation":
-            if initial_state is not None:
-                raise_error(NotImplementedError, "QiboTN cannot support initial state.")
-
-            state = cutn.eval_expectation(circuit, self.dtype)
-
-        if self.platform == "cu_tensornet_mpi_expectation":
-            if initial_state is not None:
-                raise_error(NotImplementedError, "QiboTN cannot support initial state.")
-
-            # state, rank = cutn.eval_tn_MPI(circuit, self.dtype,32)
-            # state, rank = cutn.eval_tn_MPI_expectation(circuit, self.dtype,32)
-            state, rank = cutn.eval_tn_MPI_2_expectation(circuit, self.dtype, 32)
-
-            if rank > 0:
-                state = np.array(0)
-
-        if self.platform == "cu_tensornet_nccl_expectation":
-            if initial_state is not None:
-                raise_error(NotImplementedError, "QiboTN cannot support initial state.")
-
-            # state, rank = cutn.eval_tn_MPI(circuit, self.dtype,32)
-            # state, rank = cutn.eval_tn_MPI_expectation(circuit, self.dtype,32)
-            state, rank = cutn.eval_tn_nccl_expectation(circuit, self.dtype, 32)
-
-            if rank > 0:
-                state = np.array(0)
-
-        if return_array:
-            return state.flatten()
-        else:
-            circuit._final_state = CircuitResult(self, circuit, state.flatten(), nshots)
-            return circuit._final_state