A language-oriented approach to exchange-only silicon dot qubit software

A standard approach to achieving a hardware agnostic programming interface for quantum computational experiments is to develop a hardware abstraction layer in the form of high-level classes and methods in a given programming language, such as Python. To allow for rapidly developing these experimental goals, we instead opted for a language-oriented approach to both hardware and abstraction. In our quantum computing software stack called Quiver, we have progressed on developing a series of new programming languages—called Coalton, Quil-E, PulseScript, and PulseIR—to provide more direct ways of writing flexible, expressive, and optimized experimental code for silicon dot qubit experiments.