Researchers Bruno Avritzer and Nathan Sankary have developed a new method for reducing the complexity of quantum computations across multiple processors. The technique allocates qubits within a colour code family, achieving a 10% reduction in processor-nonlocal gates and offering potential for greater advantages as qubit numbers increase. It minimises operations susceptible to noise between quantum processors, addressing a key challenge in distributed quantum computing, and explores efficient strategies for universal gate sets including magic state distillation, code switching, and logical swaps. These advancements represent a strong step towards scalable and effective error correction in modular quantum architectures Distributed logical qubits enable sharp reductions in inter-processor communication complexity A ten percent reduction in processor-nonlocal gates, the connections between processing units in quantum computers, is now possible, a feat previously unattainable due to the challenges of minimising inter-processor communication. Scaling quantum computations beyond a limited size was previously hampered by the escalating complexity of these connections and the associated error rates. Quantum computers, unlike their classical counterparts, are profoundly susceptible to errors arising from environmental noise and imperfections in quantum control. As the number of qubits increases, so too does the probability of encountering these errors, making error correction paramount for reliable computation. Strategically distributing logical qubits, the fundamental units of quantum information encoded using multiple physical qubits for error protection, across multiple processors, rather than confining them to a single unit, offers benefits that increase alongside the number of qubits. This approach shifts the focus from managing error rates within a single, large processor to mitigating the errors introduced between processors during communication. More efficient methods for universal gate sets, including magic state distillation and code switching, are now enabled by this approach, opening avenues for more scalable and robust quantum computations. Distributing logical qubits across multiple processors reduces the number