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Simple communication complexity separation from quantum state antidistinguishability

Vojtěch Havlíček, Jonathan Barrett

2020Physical Review Research17 citationsDOIOpen Access PDF

Abstract

A set of n pure quantum states is called antidististinguishable if there exists an n-outcome measurement that never outputs the outcome 'k' on the kth quantum state. We describe sets of quantum states for which any subset of three states is antidistinguishable and use this to produce a two-player communication task that can be solved with log d qubits, but requires one-way communication of at least log(4/3)(d -1) -1 0.415(d -1) -1 classical bits. The advantages of the approach are that the proof is simple and self-contained -not needing, for example, to rely on hard-to-establish prior results in combinatorics -and that with slight modifications, nontrivial bounds can be established in any dimension 3. The task can be framed in terms of the separated parties solving a relation. We show, however, that for this particular task, the separation disappears if two-way classical communication is allowed, or if the task need only be solved with bounded error. Finally, we state a conjecture regarding antidistinguishability of sets of states, and provide some supporting numerical evidence. If the conjecture holds, then there is a two-player communication task that can be solved with log d qubits, but requires exact one-way communication of (d log d ) classical bits.

Topics & Concepts

MathematicsSimple (philosophy)Dimension (graph theory)ConjectureBounded functionSet (abstract data type)QuantumQuantum complexity theoryDiscrete mathematicsCommunication complexityTask (project management)State (computer science)Quantum information scienceQuantum stateQuantum algorithmQuantum operationQuantum channelNo-teleportation theoremComputer scienceQuantum capacityQuantum computerExistential quantificationBinary logarithmTheoretical computer scienceAlgorithmMeasure (data warehouse)SIMPLE algorithmSet theoryModels of communicationCombinatoricsQuantum Computing Algorithms and ArchitectureComplexity and Algorithms in GraphsQuantum Information and Cryptography