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Quantum information science is an emerging frontier that has generated a great deal of interests and stimulated novel potential applications. Its aim is to understand how certain fundamental laws of quantum physics can be harnessed to dramatically improve the storage, processing and transmission of information. On the other hand, quantum manybody systems give rise to exotic collective states of matter, such as superfluids, superconductors, and insulating quantum liquids, which have no classical counterparts. Significant progress has been made in our understanding toward the collective behavior of quantum manybody systems via both analytical and numerical approaches.
Analytical approaches can often provide qualitative guidance. Unbiased numerical simulations play a crucial role in verifying the underlying assumptions. However, there are important classes of problems, such as fermionic systems, frustrated spin systems, and non-equilibrium quantum systems, which are still impossible to obtain solutions via direct simulation.
In recent years, interplay between concepts from quantum information theory, and novel numerical methods have improved our understanding of the reason behind the difficulties of these classes of problems, and various new ideas from the quantum information theory provide potential breakthroughs to overcome these challenges.
The aim of this workshop is to bring together researchers from quantum information science and quantum manybody systems, to discuss recent advances in the computational aspects of quantum manybody systems.
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