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Quantum Information and Computation for Chemistry

Posted By: AvaxGenius
Quantum Information and Computation for Chemistry

Quantum Information and Computation for Chemistry by Sabre Kais
English | PDF(True) | 665 Pages | ISBN : 1118495667 | 12.4 MB

Examines the intersection of quantum information and chemical physics

The Advances in Chemical Physics series is dedicated to reviewing new and emerging topics as well as the latest developments in traditional areas of study in the field of chemical physics. Each volume features detailed comprehensive analyses coupled with individual points of view that integrate the many disciplines of science that are needed for a full understanding of chemical physics.

This volume of the series explores the latest research findings, applications, and new research paths from the quantum information science community. It examines topics in quantum computation and quantum information that are related to or intersect with key topics in chemical physics. The reviews address both what chemistry can contribute to quantum information and what quantum information can contribute to the study of chemical systems, surveying both theoretical and experimental quantum information research within the field of chemical physics.

With contributions from an international team of leading experts, Volume 154 offers seventeen detailed reviews, including:

Introduction to quantum information and computation for chemistry
Quantum computing approach to non-relativistic and relativistic molecular energy calculations
Quantum algorithms for continuous problems and their applications
Photonic toolbox for quantum simulation
Vibrational energy and information transfer through molecular chains
Tensor networks for entanglement evolution
Reviews published in Advances in Chemical Physics are typically longer than those published in journals, providing the space needed for readers to fully grasp the topic: the fundamentals as well as the latest discoveries, applications, and emerging avenues of research. Extensive cross-referencing enables readers to explore the primary research studies underlying each topic.
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