Near-term Application Engineering Challenges in Emerging Superconducting Qudit Processors

TL;DR

This paper reviews the engineering challenges and opportunities in developing superconducting qudit quantum processors, focusing on their potential for near-term applications in NISQ-era quantum computing tasks.

Contribution

It provides a comprehensive analysis of the engineering hurdles and prospects for implementing algorithms on superconducting qudit-based quantum processors.

Findings

Identifies key engineering challenges in superconducting qudit processors.

Highlights potential applications in simulation, optimization, and machine learning.

Discusses prospects for near-term quantum computing advancements.

Abstract

We review the prospects to build quantum processors based on superconducting transmons and radiofrequency cavities for testing applications in the NISQ era. We identify engineering opportunities and challenges for implementation of algorithms in simulation, combinatorial optimization, and quantum machine learning in qudit-based quantum computers.