tensorflow_quantum/core/ops/circuit_execution_ops.py (4 lines):
	- line 119: # TODO (mbbrough): investigate how the above docstring renders.
	- line 218: # TODO (mbbrough): investigate how the above docstring renders.
	- line 307: # TODO (mbbrough): investigate how the above docstring renders.
	- line 418: # TODO (mbbrough): investigate how the above docstring renders.


tensorflow_quantum/core/ops/tfq_simulate_expectation_op.cc (2 lines):
	- line 51: // TODO (mbbrough): add more dimension checks for other inputs here.
	- line 155: // TODO: add heuristic here so that we do not always recompute


tensorflow_quantum/core/ops/math_ops/tfq_inner_product.cc (2 lines):
	- line 51: // TODO (mbbrough): add more dimension checks for other inputs here.
	- line 185: // TODO: add heuristic here so that we do not always recompute


tensorflow_quantum/core/ops/math_ops/tfq_simulate_1d_expectation.cc (2 lines):
	- line 60: // TODO (mbbrough): add more dimension checks for other inputs here.
	- line 82: // TODO: remove endianness workaround introduced here:


tensorflow_quantum/core/ops/tfq_simulate_sampled_expectation_op.cc (2 lines):
	- line 55: // TODO (mbbrough): add more dimension checks for other inputs here.
	- line 187: // TODO: add heuristic here so that we do not always recompute


benchmarks/scripts/benchmark_clifford_circuit.py (1 line):
	- line 85: # TODO: implement backend switch


tensorflow_quantum/core/ops/tfq_adj_grad_op.cc (1 line):
	- line 52: // TODO (mbbrough): add more dimension checks for other inputs here.


benchmarks/scripts/benchmark_random_circuit.py (1 line):
	- line 103: # TODO: implement backend switch


tensorflow_quantum/python/differentiators/differentiator.py (1 line):
	- line 115: # TODO (mbbrough): find a better workaround than this to ensure


tensorflow_quantum/core/ops/tfq_ps_symbol_replace_op.cc (1 line):
	- line 158: // TODO: investigate whether or not it is worth this parallelization at the


tensorflow_quantum/python/util.py (1 line):
	- line 513: # TODO: replace with cirq.approx_eq once


tensorflow_quantum/core/ops/noise/tfq_noisy_expectation.cc (1 line):
	- line 62: // TODO (mbbrough): add more dimension checks for other inputs here.


tensorflow_quantum/core/ops/tfq_simulate_samples_op.cc (1 line):
	- line 54: // TODO (mbbrough): add more dimension checks for other inputs here.


tensorflow_quantum/core/ops/noise/tfq_noisy_sampled_expectation.cc (1 line):
	- line 63: // TODO (mbbrough): add more dimension checks for other inputs here.


tensorflow_quantum/core/ops/math_ops/tfq_inner_product_grad.cc (1 line):
	- line 52: // TODO (mbbrough): add more dimension checks for other inputs here.


tensorflow_quantum/core/ops/noise/tfq_noisy_samples.cc (1 line):
	- line 60: // TODO (mbbrough): add more dimension checks for other inputs here.


tensorflow_quantum/core/ops/tfq_simulate_state_op.cc (1 line):
	- line 49: // TODO (mbbrough): add more dimension checks for other inputs here.


tensorflow_quantum/core/ops/batch_util.py (1 line):
	- line 22: # TODO (#563): Remove this workaround class once cirq.PauliSumCollector can


tensorflow_quantum/core/ops/math_ops/tfq_simulate_1d_samples.cc (1 line):
	- line 61: // TODO (mbbrough): add more dimension checks for other inputs here.


tensorflow_quantum/core/ops/math_ops/tfq_simulate_1d_sampled_expectation.cc (1 line):
	- line 62: // TODO (mbbrough): add more dimension checks for other inputs here.


tensorflow_quantum/python/layers/circuit_executors/state.py (1 line):
	- line 44: >>> alphas = tf.reshape(tf.range(0, 1.1, delta=0.5), (3, 1)) # FIXME: #805


tensorflow_quantum/core/ops/tfq_calculate_unitary_op.cc (1 line):
	- line 48: // TODO (mbbrough): add more dimension checks for other inputs here.