tfq.set_quantum_concurrent_op_mode

Set the global op latency mode in execution context.

tfq.set_quantum_concurrent_op_mode(
    mode
)

This is advanced TFQ feature that should be used only in very specific cases. Namely if memory requirements on simulation are extremely large OR when executing against a true chip.

If you are going to make use of this function please call it at the top of your module right after import:

import tensorflow_quantum as tfq
tfq.set_quantum_concurrent_op_mode(False)

Args
mode	Python bool indicating whether or not circuit executing ops should block graph level parallelism. Advanced users should set mode=False when executing very large simulation workloads or when executing against a real quantum chip.