Guest Post by Zeynep Koruturk, Dr. Kris Naudts, and Donald Harmitt of Firgun Ventures For years, the headline metric in quantum computing has been a simple one: how many qubits can a company fit onto a single chip. Qubits are the basic units of quantum information, and increasing their number signals that the field is moving beyond laboratory prototypes. The race produced steadily larger processors, but it is widely believed that increasingly fitting a significant number of qubits onto a single chip will eventually run into a wall that physics and manufacturing impose together. Beyond a certain size, fabricating a flawless monolithic chip becomes punishingly difficult, and wiring every qubit to every other qubit grows harder with each addition. The path to a genuinely useful machine, one capable of solving commercially meaningful problems, runs through a different strategy. Rather than building one enormous processor, the field has turned toward linking many smaller ones together. This is the logic of modular quantum computing, in which multiple smaller processors, or modules, are interconnected so that they behave as a single, larger machine. Keeping every qubit on one chip is not impossible, but the smarter route is to scale outwards through connection rather than upwards through density. There are two modularity angles worth exploring here. The first is the homogeneous view, where a single qubit modality is scaled by networking many identical modules. The second is heterogeneous, where several different qubit hardware types, e.g. superconducting, trapped ions and others, are combined so each contributes what it does best. Both point toward the same destination: a future in which quantum computing lives less in a single exotic device and more in something resembling a high-performance computing centre. Scaling One Modality By Connecting Many Modules Industrial technologies often move from heroic single machines to networked