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Institute of Physics eBooks

Recent progress in quantum computation/simulation for field theory

Yannick Meurice

Published Feb 1, 2021• 0 citations
Publisher
DOI
10.1088/978-0-7503-2187-7ch10

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We discuss recent progress in Tensor Lattice Field Theory and economical, symmetry preserving, truncations suitable for quantum computations/simulations. We focus on spin and gauge models with continuous Abelian symmetries such as the Abelian Higgs model and emphasize noise-robust implementations of Gauss’s law. We discuss recent progress concerning the comparison between field digitizations and character expansions, symmetry breaking in tensor language, wave-packet preparation and possible new implementations of Abelian models using Rydberg atoms.
In the contemporary era of scientific and technical innovations, we are witnessing remarkable progress in the realm of quantum computing. Today’s phase is referred to as the second quantum revolution, characterized by ongoing research and progress in the hardware, software, and applications of quantum computers. While the theoretical foundations of quantum computing have been in place for decades, the practical tools and technologies that have emerged in recent years have catapulted this field from theory into reality. This paper provides a brief overview of the fundamental principles of quantum computing and explores the various technologies that support them. From quantum programming languages and simulators to quantum hardware platforms and software development kits, these tools have paved the way for groundbreaking research, experimentation, and the exploration of quantum’s boundless potential. Furthermore, it addresses the current developments, existing challenges, ongoing improvements, and future prospects in this dynamic field.
Recent advancements in quantum computing have sparked significant interest due to their potential to revolutionize various fields, from cryptography to optimization problems. This paper reviews recent developments in quantum computing and quantum information theory, focusing on breakthroughs in qubit stability, error correction codes, and quantum algorithm design. Key achievements include the demonstration of quantum supremacy in specific tasks and progress towards scalable quantum processors. Looking forward, the prospects of quantum computing in solving complex computational problems and its implications for cybersecurity and scientific simulations are discussed. The paper concludes with an outlook on the challenges that must be overcome to realize the full potential of quantum technologies in the coming years.