Quantum computer architectures are evolving as understanding of requirements deepens. Different architectural approaches offer various trade-offs between performance, scalability, and engineering complexity.
Qubit connectivity patterns significantly impact algorithm mapping and performance. Fully-connected architectures are ideal algorithmically but extremely difficult to build.
Modular architectures divide quantum processors into smaller modules connected through quantum links. This approach may enable scaling beyond what monolithic processors can achieve.
Three-dimensional qubit arrangements offer connectivity advantages over planar designs. However, 3D architectures present fabrication and control challenges.
Architectural choices interact with error correction requirements. Fault-tolerant quantum computing may favor different architectures than near-term applications.
The optimal quantum computer architecture may differ for different applications. Application-specific architectures could provide advantages over general-purpose designs.
