Distributed Density Matrices
Density matrices are widely understood to represent a statistically valid sampling of a large number of quantum states prepared and measured under conditions as consistent as possible. A density matrix, then, represents the past, in aggregate. However, it is also our best tool for discussing the future behavior of an individual quantum state. In this talk, I will discuss the subtleties of tracking density matrices in quantum repeater networks, where they are used to represent our best guess about a current state, and to make real-time decisions about what actions to take next. In addition, I will lead a discussion of the uses of distributed entanglement, as we work to set goals for the types of distributed states to be created by repeater networks, and the fidelities and state creation rate required by applications these distributed quantum applications.
Host: Chris Monroe
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