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Quantum Information Processing Quantum Information Processing is a journal covering the categories related to Electrical and Electronic Engineering (Q2); Electronic, Optical and Magnetic Materials (Q2); Modeling and Simulation (Q2); Signal Processing (Q2); Theoretical Computer Science (Q2); Statistical and Nonlinear Physics (Q3).

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Its current elite reputation is based on the accomplishments of world-renowned faculty; a rigorous and highly successful Ph. The theory group has traditionally been a leader in the fields of combinatorial optimization, approximation algorithms, and discrete random systems. Over the past decade, it has also emerged at the forefront of research in:Theory students-typically graduates of the ACO program, which draws courses and faculty from math post abuse operations research in addition to computer science-have gone on to successful careers in both academia and industry.

ARC actively seeks computational problems across the sciences that could define and drive the field for many years to come. The appreciation of theory by the rest of our colleagues, the post abuse stream of amazingly talented students in a friendly and challenging environment, and the focus on post abuse problems are making theory a rich and inviting tradition in the School of Computer Science at Georgia Tech.

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