Let me give you one example to illustrate the general principle. Any quantum computer we build will be too noisy to do any useful computation as is. To counter this, it is necessary to employ (quantum) error-correction at the software level to reduce the noise sufficiently to do useful computation.
While a lot of quantum error-correction algorithms have been developed using traditional techniques, they are still not good enough and there appears to be still lots of room for improvement. The usage of ZX-calculus has already started to yield novel insights into how to design these better algorithms. The change of language gives a new perspective that helps quite a lot.
Hence, ZX calculus is helping to bring quantum computers much closer to reality.
While a lot of quantum error-correction algorithms have been developed using traditional techniques, they are still not good enough and there appears to be still lots of room for improvement. The usage of ZX-calculus has already started to yield novel insights into how to design these better algorithms. The change of language gives a new perspective that helps quite a lot.
Hence, ZX calculus is helping to bring quantum computers much closer to reality.