Building globally controlled quantum processors with ZZ interactions
Roberto Menta, Francesco Cioni, Riccardo Aiudi, Francesco Caravelli, Marco Polini, Vittorio Giovannetti
TL;DR
This work develops a framework for globally controlled quantum processors using superconducting qubits with always-on ZZ interactions, introducing static Rabi-frequency inhomogeneities via the crossed-qubit method to achieve local operations under a single global drive. It proves that, by exploiting blockade effects in the strong-coupling regime and carefully partitioning qubits into regular and crossed subgroups, one can realize independent SU(2) rotations on targeted subsystems, enabling universal computation with reduced wiring. The authors instantiate two architectures—the two-species ladder and the two-species conveyor-belt—demonstrating universal gate sets while achieving favorable scaling: the ladder maintains universality with 2 species and crossed elements, whereas the conveyor-belt attains linear scaling in physical qubits for $n$ computational qubits. Collectively, the results offer a concrete pathway toward scalable, hardware-efficient quantum processors that leverage global control, with implications for integrating error-correction strategies in low-dimensional architectures.
Abstract
We present a comprehensive framework for constructing various architectures of globally driven quantum computers, with a focus on superconducting qubits. Our approach leverages static inhomogeneities in the Rabi frequencies of qubits controlled by a common classical pulse -- a technique we refer to as the "crossed-qubit" method. We detail the essential components and design principles required to realize such systems, highlighting how global control can be harnessed to perform local operations, enabling universal quantum computation. This framework offers a scalable pathway toward quantum processors by striking a balance between wiring complexity and computational efficiency, with potential applications in addressing current challenges to scalability.
