  Recent advances in electronic and photonic technologies have allowed
efficient signal generation and transmission at terahertz (THz) frequencies.
However, as the gap in THz-operating devices narrows, the demand for
terabit-per-second (Tbps)-achieving circuits is increasing. Translating the
available hundreds of gigahertz (GHz) of bandwidth into a Tbps data rate
requires processing thousands of information bits per clock cycle at
state-of-the-art clock frequencies of digital baseband processing circuitry of
a few GHz. This paper addresses these constraints and emphasizes the importance
of parallelization in signal processing, particularly for channel code
decoding. By leveraging structured sub-spaces of THz channels, we propose
mapping bits to transmission resources using shorter code-words, extending
parallelizability across all baseband processing blocks. THz channels exhibit
quasi-deterministic frequency, time, and space structures that enable efficient
parallel bit mapping at the source and provide pseudo-soft bit reliability
information for efficient detection and decoding at the receiver.
