Update variable naming
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@@ -69,13 +69,13 @@ def test_eval(nqubits: int, dtype="complex128"):
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), "Resulting dense vectors do not match"
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# Test with explicit settings specified.
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computation_settings = {
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comp_set_w_bool = {
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"MPI_enabled": False,
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"MPS_enabled": False,
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"NCCL_enabled": False,
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"expectation_enabled": False,
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}
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backend.configure_tn_simulation(computation_settings)
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backend.configure_tn_simulation(comp_set_w_bool)
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result_tn = backend.execute_circuit(circuit=qibo_circ)
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print(
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f"State vector difference: {abs(result_tn.statevector.flatten() - result_sv_cp).max():0.3e}"
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@@ -104,13 +104,13 @@ def test_mps(nqubits: int, dtype="complex128"):
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# Test cutensornet
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backend = construct_backend(backend="qibotn", platform="cutensornet")
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# Test with simple MPS settings specified using bool. Uses the default MPS parameters.
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computation_settings_1 = {
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comp_set_w_bool = {
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"MPI_enabled": False,
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"MPS_enabled": True,
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"NCCL_enabled": False,
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"expectation_enabled": False,
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}
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backend.configure_tn_simulation(computation_settings_1)
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backend.configure_tn_simulation(comp_set_w_bool)
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result_tn = backend.execute_circuit(circuit=qibo_circ)
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print(
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f"State vector difference: {abs(result_tn.statevector.flatten() - result_sv_cp).max():0.3e}"
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@@ -120,7 +120,7 @@ def test_mps(nqubits: int, dtype="complex128"):
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), "Resulting dense vectors do not match"
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# Test with explicit MPS computation settings specified using Dict. Users able to specify parameters like qr_method etc.
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computation_settings_2 = {
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comp_set_w_MPS_config_para = {
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"MPI_enabled": False,
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"MPS_enabled": {
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"qr_method": False,
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@@ -132,7 +132,7 @@ def test_mps(nqubits: int, dtype="complex128"):
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"NCCL_enabled": False,
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"expectation_enabled": False,
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}
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backend.configure_tn_simulation(computation_settings_2)
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backend.configure_tn_simulation(comp_set_w_MPS_config_para)
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result_tn = backend.execute_circuit(circuit=qibo_circ)
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print(
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f"State vector difference: {abs(result_tn.statevector.flatten() - result_sv_cp).max():0.3e}"
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@@ -159,26 +159,26 @@ def test_expectation(nqubits: int, dtype="complex128"):
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backend = construct_backend(backend="qibotn", platform="cutensornet")
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# Test with simple settings using bool. Uses default Hamilitonian for expectation calculation.
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computation_settings_1 = {
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comp_set_w_bool = {
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"MPI_enabled": False,
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"MPS_enabled": False,
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"NCCL_enabled": False,
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"expectation_enabled": True,
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}
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backend.configure_tn_simulation(computation_settings_1)
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backend.configure_tn_simulation(comp_set_w_bool)
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result_tn = backend.execute_circuit(circuit=qibo_circ)
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assert math.isclose(
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exact_expval.item(), result_tn.real.get().item(), abs_tol=ABS_TOL
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)
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# Test with user defined hamiltonian using "hamiltonians.SymbolicHamiltonian" object.
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computation_settings_2 = {
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comp_set_w_hamiltonian_obj = {
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"MPI_enabled": False,
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"MPS_enabled": False,
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"NCCL_enabled": False,
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"expectation_enabled": ham,
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}
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backend.configure_tn_simulation(computation_settings_2)
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backend.configure_tn_simulation(comp_set_w_hamiltonian_obj)
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result_tn = backend.execute_circuit(circuit=qibo_circ)
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assert math.isclose(
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exact_expval.item(), result_tn.real.get().item(), abs_tol=ABS_TOL
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@@ -186,13 +186,13 @@ def test_expectation(nqubits: int, dtype="complex128"):
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# Test with user defined hamiltonian using Dictionary object form of hamiltonian.
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ham_dict = build_observable_dict(nqubits)
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computation_settings_3 = {
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comp_set_w_hamiltonian_dict = {
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"MPI_enabled": False,
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"MPS_enabled": False,
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"NCCL_enabled": False,
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"expectation_enabled": ham_dict,
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}
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backend.configure_tn_simulation(computation_settings_3)
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backend.configure_tn_simulation(comp_set_w_hamiltonian_dict)
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result_tn = backend.execute_circuit(circuit=qibo_circ)
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assert math.isclose(
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exact_expval.item(), result_tn.real.get().item(), abs_tol=ABS_TOL
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