Our initial alpha version wasn't very modular or scalable, but we've reworked the entire system to create an extremely scalable and modular solution.

Deep modules, which have simple interfaces but complex functionality, are crucial for managing complexity in software design.

The approach to scalability in quantum computing involves creating small, efficient quantum modules that can be linked together, rather than trying to scale up a single large quantum computer, which presents numerous challenges.

Modular architecture with clear API boundaries is beneficial for both human and AI developers, as it simplifies understanding and reduces interdependencies in the codebase.

The initial speed of our modular quantum computer will be limited by the connection rate between modules, but for small problems, the computation speed won't be a major concern.

We plan to build a modular quantum computer made of small quantum modules that, when linked, can work together to form a unified quantum state.

To determine if a quantum computer can be modular, we need to assess whether we can achieve good quality entanglements between two modules, which would prove they are part of the same quantum state.

Good software design helps manage complexity by either eliminating it or using modular design to hide it, allowing users to interact with simpler interfaces.

The traditional approach to building business software is often limiting; a compound approach with one system that handles multiple functions is more effective.