Enable parallel distribution for tensornet and tensornet-mps

[zohimchandani]

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Describe the feature

Hamiltonian batching workflows do not work on the tensornet and tensornet-mps backend. We need to add a mqpu version of those I believe.

import cudaq
from cudaq import spin

# cudaq.set_target("nvidia", option="mqpu")
cudaq.set_target('tensornet')
# cudaq.set_target('tensornet-mps')

cudaq.mpi.initialize()

qubit_count = 15
term_count = 100

kernel = cudaq.make_kernel()
qubits = kernel.qalloc(qubit_count)
kernel.h(qubits[0])
for i in range(1, qubit_count):
    kernel.cx(qubits[0], qubits[i])

hamiltonian = cudaq.SpinOperator.random(qubit_count, term_count)

result = cudaq.observe(kernel, hamiltonian, execution=cudaq.parallel.thread).expectation()

cudaq.mpi.finalize()

RuntimeError: The current quantum_platform does not support parallel distribution of observe() expectation value computations.