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Updated docstring to class

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tankya2
2023-04-21 11:11:06 +08:00
parent f36a7a75a9
commit 9cc1dcdffb
1 changed files with 10 additions and 11 deletions
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21
src/qibotn/QiboCircuitConvertor.py
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@@ -3,17 +3,17 @@ import numpy as np
class QiboCircuitToEinsum: class QiboCircuitToEinsum:
"""This class takes a quantum circuit defined in Qibo (i.e. a Circuit object) """Convert a circuit to Tensor Network(TN) representation.
and convert it to an equivalent Tensor Network (TN) representation that is formatted for The circuit is first processed to an intermediate form by grouping each gate
cuQuantum' contract method to compute the state vectors. matrix with its corresponding qubit it is acting on to a list. It is then
See document for detail: https://docs.nvidia.com/cuda/cuquantum/python/api/generated/cuquantum.contract.html converted it to an equivalent TN expression through the class function
state_vector_operands() following the Einstein summation convention in the
interleave format.
When the class is constructed, it first process the circuit to an intermediate form by extracting the gate matrix See document for detail of the format: https://docs.nvidia.com/cuda/cuquantum/python/api/generated/cuquantum.contract.html
and grouping each gate with its corresponding qubit it is acting on to a list.
It is then converted it to an equivalent TN expression following the Einstein The output is to be used by cuQuantum's contract() for computation of the
summation convention through the class function state_vector_operands(). state vectors of the circuit.
The output is to be used by cuQuantum's contract() for computation of the state vectors of the circuit.
""" """
def __init__(self, circuit, dtype="complex128"): def __init__(self, circuit, dtype="complex128"):
@@ -70,8 +70,7 @@ class QiboCircuitToEinsum:
for key in qubits_frontier: for key in qubits_frontier:
out_list.append(qubits_frontier[key]) out_list.append(qubits_frontier[key])
operand_exp_interleave = [x for y in zip( operand_exp_interleave = [x for y in zip(operands, mode_labels) for x in y]
operands, mode_labels) for x in y]
operand_exp_interleave.append(out_list) operand_exp_interleave.append(out_list)
return operand_exp_interleave return operand_exp_interleave