Circuit complexity is a subfield of computational complexity theory that investigates the resources, primarily size and depth, required by Boolean circuits to compute Boolean functions. It studies the minimum number of logic gates and the length of the longest path needed in an acyclic network of gates to perform a specific computation, thereby providing insights into the inherent difficulty of problems and the capabilities of parallel computation models.