Explore a conference talk on modular quantum signal processing with gadgets presented by Zane Rossi from MIT's Physics department at IPAM's Quantum Algorithms for Scientific Computation Workshop. Delve into the concept of casting quantum algorithms as modules that can be combined to create complex programs, focusing on the unification of algorithms through quantum signal processing (QSP) and quantum singular value transformation (QSVT). Discover the theory of modular multi-input-output QSP-based superoperators, known as gadgets, and learn how they can be easily assembled to apply specific functions. Examine the development of a Python package for gadget assembly and circuit compilation, and understand how gadgets enable efficient block encoding of multivariable functions while supporting a functional-programming approach to quantum algorithm design.