Optimal Direct Sum and Privacy Trade-off Results for Quantum and Classical Communication Complexity
Rahul Jain, Pranab Sen, Jaikumar Radhakrishnan

TL;DR
This paper establishes optimal direct sum theorems and privacy trade-offs for quantum and classical communication complexity, extending classical bounds to quantum settings and introducing new techniques like message compression and round elimination.
Contribution
It introduces the first optimal direct sum results for quantum and classical one-way communication, and develops new methods for privacy trade-offs and message compression in quantum protocols.
Findings
Proves Omega(m) direct sum bounds for quantum and classical one-way communication.
Extends classical lower bounds on data structure problems to quantum models.
Shows impossibility of reducing public coins in quantum protocols via black-box entanglement reduction.
Abstract
We show optimal Direct Sum result for the one-way entanglement-assisted quantum communication complexity for any relation f subset of X x Y x Z. We show: Q^{1,pub}(f^m) = Omega(m Q^{1,pub}(f)), where Q^{1,pub}(f), represents the one-way entanglement-assisted quantum communication complexity of f with error at most 1/3 and f^m represents m-copies of f. Similarly for the one-way public-coin classical communication complexity we show: R^{1,pub}(f^m) = Omega(m R^{1,pub}(f)), where R^{1,pub}(f), represents the one-way public-coin classical communication complexity of f with error at most 1/3. We show similar optimal Direct Sum results for the Simultaneous Message Passing quantum and classical models. For two-way protocols we present optimal Privacy Trade-off results leading to a Weak Direct Sum result for such protocols. We show our Direct Sum and Privacy Trade-off results via message…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Quantum Mechanics and Applications
