Which qubit connectivity topologies best support modular quantum processors?

Scalability of quantum processors depends strongly on qubit connectivity topology because entangling operations and quantum error correction rely on which qubits can interact directly. Practical modular designs seek a balance: dense local connectivity inside modules to support low-overhead error correction and sparse long-range links between modules to enable system-wide entanglement. John Preskill California Institute of Technology has emphasized that error-correcting codes and near-term algorithms place concrete demands on connectivity, making topology a primary engineering constraint rather than a purely theoretical choice.

Local 2D lattices and fault-tolerant codes

For fault-tolerant architectures the surface code and related topological codes favor two-dimensional nearest-neighbor layouts. This locality minimizes wiring and control complexity and aligns with fabrication techniques used for superconducting qubits. IBM Quantum researchers including Jay Gambetta IBM Quantum designed the heavy-hex layout to reduce crosstalk and improve gate fidelity while remaining compatible with surface-code-like operations. Such local lattices reduce the overhead of syndrome extraction and keep error chains geometrically constrained, which is essential for achieving logical error suppression at scale. However, strictly local topologies can complicate long-range operations and require additional overhead to move logical qubits or swap entanglement between distant regions.

All-to-all links and modular interconnects

Trapped-ion platforms naturally provide all-to-all connectivity within modest-sized registers, which simplifies compilation and reduces swap overhead. Christopher Monroe University of Maryland has proposed modular architectures combining ion chains or atomic memories with photonic interconnects to stitch modules together. Photonic links and microwave-to-optical transducers enable entanglement distribution between spatially separated modules, supporting a network-of-modules approach that decouples local coherence demands from global connectivity. The trade-off is that remote entanglement generation tends to be probabilistic and may require multiplexing and heralding, adding complexity to control systems.

Combining dense local lattices with sparse, high-fidelity inter-module links appears to best support modular quantum processors in practice. Causes include fabrication limits, cryogenic infrastructure for superconducting qubits, and the physical mechanisms of different qubit technologies. Consequences span technical and societal domains: architectures that minimize cryogenic load and leverage regional fabrication capabilities can reduce operational energy and favor distributed development across labs and industries. Territorial and cultural factors influence which topologies get pursued, as national priorities and industrial ecosystems determine investment in superconducting fabs, ion traps, or photonic integration. Ultimately, hybrid topologies that prioritize local error-correction-friendly layouts connected by reliable photonic or microwave links offer the strongest path toward scalable, modular quantum systems.