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Publication
APS March Meeting 2022
Conference paper
Current state of Embedding techniques for Quantum Computing
Abstract
In this talk, I will review embedding techniques on quantum computers for materials and chemistry. Embedding is a method of combining classical and quantum computing techniques to explore problems which typically have a natural center or centers of strongest or more correlated interactions, and this part/parts are done on the quantum computer, while the rest is done with a classical system. The goal is usually either greater accuracy, greater speed, or greater opportunity for analytical insight into the system. What distinguishes embedding techniques is usually the proportion and frequency of interchange between quantum and classical techniques. Some key embedding techniques will be represented by other speakers in this session, and I will let them describe their own work, and only put their work in the context of others. Other techniques will not appear except in this talk, and to these I will devote more attention. In particular I will describe one technique that has been used with quite some success by a team I am on, and which has appeared in a recent arxiv posting.