Quantum computing through the lens of control: A tutorial introduction
Julian Berberich, Daniel Fink

TL;DR
This tutorial introduces quantum computing from a control theory perspective, covering fundamental concepts and recent advances, aiming to equip readers with the mathematical tools to address control-related challenges in the field.
Contribution
It provides a comprehensive, accessible introduction to quantum computing through control theory, linking fundamental quantum concepts with control challenges and research directions.
Findings
Highlights the connection between quantum computing challenges and control theory concepts.
Provides a list of research challenges in quantum computing related to control.
Bridges the gap between quantum algorithms and control applications.
Abstract
Quantum computing is a fascinating interdisciplinary research field that promises to revolutionize computing by efficiently solving previously intractable problems. Recent years have seen tremendous progress on both the experimental realization of quantum computing devices as well as the development and implementation of quantum algorithms. Yet, realizing computational advantages of quantum computers in practice remains a widely open problem due to numerous fundamental challenges. Interestingly, many of these challenges are connected to performance, robustness, scalability, optimization, or feedback, all of which are central concepts in control theory. This paper provides a tutorial introduction to quantum computing from the perspective of control theory. We introduce the mathematical framework of quantum algorithms ranging from basic elements including quantum bits and quantum gates to…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Quantum Mechanics and Applications
