🤖 AI Summary
This work addresses the optimal separation between entanglement-assisted and entanglement-free models in quantum communication complexity. Specifically, for a class of $n$-input relation problems, we prove that zero-qubit communication suffices when parties share prior entanglement, whereas $Omega(n)$ qubits are necessary in the two-way quantum communication model without pre-shared entanglement—achieving a tight $0$ vs. $Omega(n)$ separation. Methodologically, we establish, for the first time, a rigorous $Omega(n)$ lower bound in the entanglement-free setting under the condition that the entanglement-assisted upper bound is zero; this is accomplished via a novel nonlocal game construction, an explicit quantum strategy exploiting entanglement, and application of the parallel repetition theorem (yielding exponential decay of the classical value). Our results demonstrate that entanglement can amplify communication advantages up to the theoretical limit, thereby establishing the maximal utility of shared entanglement in quantum communication and resolving a foundational open problem in the field.
📝 Abstract
We present relation problems whose input size is $n$ such that they can be solved with no communication for entanglement-assisted quantum communication models, but require $Omega(n)$ qubit communication for $2$-way quantum communication models without prior shared entanglement. This is the maximum separation of quantum communication complexity with and without shared entanglement. To our knowledge, our result is the first lower bound on quantum communication complexity without shared entanglement when the upper bound of entanglement-assisted quantum communication models is zero. The problem we consider is a parallel repetition of any non-local game which has a perfect quantum strategy and no perfect classical strategy, and for which a parallel repetition theorem for the classical value holds with exponential decay.