Optimizing frequency allocation for fixed-frequency superconducting quantum processors

Abstract

Fixed-frequency superconducting quantum processors are one of the most mature quantum computing architectures with high-coherence qubits and simple controls. However, high-fidelity multi-qubit gates pose tight requirements on individual qubit frequencies in these processors , and these constraints are difficult to satisfy when constructing larger processors due to the large dispersion in the fabrication of Josephson junctions. In this article, we propose a mixed-integer-programming-based optimization approach that determines qubit frequencies to maximize the fabrication yield of quantum processors. We study traditional qubit and qutrit (three-level) architectures with cross-resonance interaction processors. We compare these architectures to a differential AC-Stark shift based on entanglement gates and show that our approach greatly improves the fabrication yield and also increases the scalability of these devices. Our approach is general and can be adapted to problems where one must avoid specific frequency collisions.

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Cited by in corpus (6)

• High-Fidelity Qutrit Entangling Gates for Superconducting Circuits
• Scalable High-Performance Fluxonium Quantum Processor
• Effects of Laser-Annealing on Fixed-Frequency Superconducting Qubits
• CNOT gates for fluxonium qubits via selective darkening of transitions
• Weakly Flux-Tunable Superconducting Qubit
• Microwave-activated gates between a fluxonium and a transmon qubit