Architectures for Quantum Information Processing

TL;DR

This paper reviews various quantum computing architectures, recent advancements, challenges like noise, and approaches to improve noise resilience, highlighting the rapid progress and diverse hardware technologies in quantum information processing.

Contribution

It provides a comprehensive overview of quantum computing architectures, recent developments, and noise mitigation strategies, offering insights into the current state and future directions.

Findings

Quantum computing has made significant progress with demonstrations like quantum supremacy.

Multiple hardware technologies are being explored for quantum processors.

Noise and errors remain major challenges, with ongoing research into resilience methods.

Abstract

Quantum computing is changing the way we think about computing. Significant strides in research and development for managing and harnessing the power of quantum systems has been made in recent years, demonstrating the potential for transformative quantum technology. Quantum phenomena like superposition, entanglement, and interference can be exploited to solve issues that are difficult for traditional computers. IBM's first public access to true quantum computers through the cloud, as well as Google's demonstration of quantum supremacy, are among the accomplishments. Besides, a slew of other commercial, government, and academic projects are in the works to create next-generation hardware, a software stack to support the hardware ecosystem, and viable quantum algorithms. This chapter covers various quantum computing architectures including many hardware technologies that are being investigated. We also discuss a variety of challenges, including numerous errors/noise that plague the quantum computers. An overview of literature investigating noise-resilience approaches is also presented.