Multipartite Quantum Correlation and Communication Complexities
Rahul Jain, Zhaohui Wei, Penghui Yao, Shengyu Zhang

TL;DR
This paper extends quantum correlation and communication complexities to multipartite states, providing characterizations and bounds for pure and mixed states, and introducing tensor PSD-rank for classical distributions.
Contribution
It generalizes quantum correlation and communication complexities to multipartite scenarios, introduces tensor PSD-rank, and analyzes differences between correlation and communication complexities.
Findings
Correlation complexity for pure states characterized by local ranks.
Tensor PSD-rank bounds classical distribution complexity.
Communication and correlation complexities differ by at most a factor of 2 for mixed states.
Abstract
The concepts of quantum correlation complexity and quantum communication complexity were recently proposed to quantify the minimum amount of resources needed in generating bipartite classical or quantum states in the single-shot setting. The former is the minimum size of the initially shared state on which local operations by the two parties (without communication) can generate the target state , and the latter is the minimum amount of communication needed when initially sharing nothing. In this paper, we generalize these two concepts to multipartite cases, for both exact and approximate state generation. Our results are summarized as follows. (1) For multipartite pure states, the correlation complexity can be completely characterized by local ranks of sybsystems. (2) We extend the notion of PSD-rank of matrices to that of tensors, and use it to bound the quantum…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Quantum Mechanics and Applications
