Testing product states, quantum Merlin-Arthur games and tensor optimisation

Details Testing product states, quantum Merlin-Arthur games and tensor optimisation Testing product states, quantum Merlin-Arthur games and tensor optimisation

2010-01-04

arxiv.org/abs/1001.0017v5

Proc. of the 2010 IEEE 51st Annual Symp. on Found. of Comp. Sci., pp. 633-642

Physics

Quantum Physics

43 pages, 1 figure, 7 appendices; v5: fix to protocol putting QMA(k) in QMA(2), some other tweaks

Scientific paper

10.1109/FOCS.2010.66

We give a test that can distinguish efficiently between product states of n quantum systems and states which are far from product. If applied to a state psi whose maximum overlap with a product state is 1-epsilon, the test passes with probability 1-Theta(epsilon), regardless of n or the local dimensions of the individual systems. The test uses two copies of psi. We prove correctness of this test as a special case of a more general result regarding stability of maximum output purity of the depolarising channel. A key application of the test is to quantum Merlin-Arthur games with multiple Merlins, where we obtain several structural results that had been previously conjectured, including the fact that efficient soundness amplification is possible and that two Merlins can simulate many Merlins: QMA(k)=QMA(2) for k>=2. Building on a previous result of Aaronson et al, this implies that there is an efficient quantum algorithm to verify 3-SAT with constant soundness, given two unentangled proofs of O(sqrt(n) polylog(n)) qubits. We also show how QMA(2) with log-sized proofs is equivalent to a large number of problems, some related to quantum information (such as testing separability of mixed states) as well as problems without any apparent connection to quantum mechanics (such as computing injective tensor norms of 3-index tensors). As a consequence, we obtain many hardness-of-approximation results, as well as potential algorithmic applications of methods for approximating QMA(2) acceptance probabilities. Finally, our test can also be used to construct an efficient test for determining whether a unitary operator is a tensor product, which is a generalisation of classical linearity testing.

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