Compilation and scaling strategies for a silicon quantum processor with sparse two-dimensional connectivity
O. Crawford, J. R. Cruise, N. Mertig, M. F. Gonzalez-Zalba

TL;DR
This paper proposes a scalable silicon quantum processor architecture with sparse 2D connectivity, optimized compilation strategies, and CMOS manufacturability, enabling efficient quantum operations and improved scalability over existing methods.
Contribution
It introduces a novel modular 2D spin-qubit architecture with optimized compilation strategies that outperform existing methods, suitable for CMOS fabrication.
Findings
Outperforms best-in-class 1D compilation strategies.
Allows scalable 2D quantum processor design.
Compatible with CMOS fabrication processes.
Abstract
Inspired by the challenge of scaling up existing silicon quantum hardware, we investigate compilation strategies for sparsely-connected 2d qubit arrangements and propose a spin-qubit architecture with minimal compilation overhead. Our architecture is based on silicon nanowire split-gate transistors which can form finite 1d chains of spin-qubits and allow the execution of two-qubit operations such as Swap gates among neighbors. Adding to this, we describe a novel silicon junction which can couple up to four nanowires into 2d arrangements via spin shuttling and Swap operations. Given these hardware elements, we propose a modular sparse 2d spin-qubit architecture with unit cells consisting of diagonally-oriented squares with nanowires along the edges and junctions on the corners. We show that this architecture allows for compilation strategies which outperform the best-in-class compilation…
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