Update to latest version of Cirq.

[MichaelBroughton]

Upgrades Cirq to latest release version.

[jaeyoo]

LGTM

[jaeyoo]

LGTM

[jaeyoo]

let's fix:

======================================================================
FAIL: test_adj_grad_inputs (__main__.ADJGradTest)
ADJGradTest.test_adj_grad_inputs
Make sure that the expectation op fails gracefully on bad inputs.
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/runner/.cache/bazel/_bazel_runner/865e0ada367db183bc26de9a3083631f/execroot/__main__/bazel-out/k8-opt/bin/tensorflow_quantum/core/ops/tfq_adj_grad_op_test.runfiles/__main__/tensorflow_quantum/core/ops/tfq_adj_grad_op_test.py", line 58, in test_adj_grad_inputs
    util.convert_to_tensor([circuit_batch]), symbol_names,
  File "/opt/hostedtoolcache/Python/3.8.16/x64/lib/python3.8/site-packages/tensorflow/python/autograph/impl/api.py", line 642, in wrapper
    return func(*args, **kwargs)
  File "/home/runner/.cache/bazel/_bazel_runner/865e0ada367db183bc26de9a3083631f/execroot/__main__/bazel-out/k8-opt/bin/tensorflow_quantum/core/ops/tfq_adj_grad_op_test.runfiles/__main__/tensorflow_quantum/python/util.py", line 333, in convert_to_tensor
    return tf.convert_to_tensor(recur(items_to_convert))
  File "/home/runner/.cache/bazel/_bazel_runner/865e0ada367db183bc26de9a3083631f/execroot/__main__/bazel-out/k8-opt/bin/tensorflow_quantum/core/ops/tfq_adj_grad_op_test.runfiles/__main__/tensorflow_quantum/python/util.py", line 313, in recur
    tensored_items.append(recur(item, curr_type))
  File "/home/runner/.cache/bazel/_bazel_runner/865e0ada367db183bc26de9a3083631f/execroot/__main__/bazel-out/k8-opt/bin/tensorflow_quantum/core/ops/tfq_adj_grad_op_test.runfiles/__main__/tensorflow_quantum/python/util.py", line 324, in recur
    serializer.serialize_circuit(item).SerializeToString(
  File "/home/runner/.cache/bazel/_bazel_runner/865e0ada367db183bc26de9a3083631f/execroot/__main__/bazel-out/k8-opt/bin/tensorflow_quantum/core/ops/tfq_adj_grad_op_test.runfiles/__main__/tensorflow_quantum/core/serialize/serializer.py", line 876, in serialize_circuit
    assert len(
AssertionError

[jaeyoo]

adjoint gradient has some issue dealing with new cirq version circuit/paulisum input shapes.

[jaeyoo]

I realized that the real culprit is serializer code:

    for i, moment in enumerate(circuit):
        controlled_ops = [
            op for op in moment if isinstance(op, cirq.ControlledOperation)
        ]
        new_ops = dict()
        for op in controlled_ops:
            tfq_compatible = op.sub_operation
            tfq_compatible._tfq_control_qubits = op.controls
            val_list = list(op.control_values)
            assert len(
                val_list) == 1  # TFQ does not support superposition control.      <----- asserted here
            tfq_compatible._tfq_control_values = val_list[0]
            new_ops[op.qubits] = tfq_compatible

when we use util.convert_to_tensor() with any tests using circuit_batch:

        circuit_batch, resolver_batch = \
            util.random_circuit_resolver_batch(
                qubits, batch_size, include_channels=...)