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@@ -28,7 +28,7 @@ def eval_tn_MPI(qibo_circ, datatype, n_samples=8):
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The pathfinder looks at user defined number of samples (n_samples) iteratively to select the least costly contraction path. This is sped up with multi thread.
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The pathfinder looks at user defined number of samples (n_samples) iteratively to select the least costly contraction path. This is sped up with multi thread.
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After pathfinding the optimal path is used in the actual contraction to give a dense vector representation of the TN.
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After pathfinding the optimal path is used in the actual contraction to give a dense vector representation of the TN.
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"""
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"""
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from mpi4py import MPI # this line initializes MPI
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from mpi4py import MPI # this line initializes MPI
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import socket
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import socket
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from cuquantum import Network
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from cuquantum import Network
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@@ -103,7 +103,7 @@ def eval_tn_MPI(qibo_circ, datatype, n_samples=8):
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# Sum the partial contribution from each process on root.
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# Sum the partial contribution from each process on root.
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result = comm.reduce(sendobj=result, op=MPI.SUM, root=root)
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result = comm.reduce(sendobj=result, op=MPI.SUM, root=root)
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"""
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"""
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path, opt_info = network.contract_path(optimize={"samples": n_samples, "threads": ncpu_threads, 'slicing': {'min_slices': max(16, size)}})
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path, opt_info = network.contract_path(optimize={"samples": n_samples, "threads": ncpu_threads, 'slicing': {'min_slices': max(16, size)}})
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@@ -369,6 +369,7 @@ def eval_tn_MPI_expectation(qibo_circ, datatype, n_samples=8):
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return result, rank
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return result, rank
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def eval_mps(qibo_circ, gate_algo, datatype):
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def eval_mps(qibo_circ, gate_algo, datatype):
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myconvertor = QiboCircuitToMPS(qibo_circ, gate_algo, dtype=datatype)
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myconvertor = QiboCircuitToMPS(qibo_circ, gate_algo, dtype=datatype)
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mps_helper = MPSContractionHelper(myconvertor.num_qubits)
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mps_helper = MPSContractionHelper(myconvertor.num_qubits)
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@@ -377,6 +378,7 @@ def eval_mps(qibo_circ, gate_algo, datatype):
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myconvertor.mps_tensors, {"handle": myconvertor.handle}
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myconvertor.mps_tensors, {"handle": myconvertor.handle}
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)
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)
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def PauliStringGen(nqubits):
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def PauliStringGen(nqubits):
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if nqubits <= 0:
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if nqubits <= 0:
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return "Invalid input. N should be a positive integer."
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return "Invalid input. N should be a positive integer."
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