Abstract
AbstractThe Leggett–Garg inequality attempts to classify experimental outcomes as arising from one of two possible classes of physical theories: those described by macrorealism (which obey our intuition about how the macroscopic classical world behaves) and those that are not (e.g., quantum theory). The development of cloud-based quantum computing devices enables us to explore the limits of macrorealism. In particular, here we take advantage of the properties of the programmable nature of the IBM quantum experience to observe the violation of the Leggett–Garg inequality (in the form of a ‘quantum witness’) as a function of the number of constituent systems (qubits), while simultaneously maximizing the ‘disconnectivity’, a potential measure of macroscopicity, between constituents. Our results show that two- and four-qubit ‘cat states’ (which have large disconnectivity) are seen to violate the inequality, and hence can be classified as non-macrorealistic. In contrast, a six-qubit cat state does not violate the ‘quantum witness’ beyond a so-called clumsy invasive-measurement bound, and thus is compatible with ‘clumsy macrorealism’. As a comparison, we also consider un-entangled product states with n = 2, 3, 4 and 6 qubits, in which the disconnectivity is low.
Funder
NCTS | Physics Division, National Center for Theoretical Sciences
Ministry of Science and Technology, Taiwan
National Center for Theoretical Sciences
United States Department of Defense | United States Army | U.S. Army Research, Development and Engineering Command | Army Research Office
Graduate Student Study Abroad Program
JST PRESTO through Grant No. JPMJPR18GC.
RCUK | Engineering and Physical Sciences Research Council
MEXT | Japan Science and Technology Agency
MEXT | Japan Society for the Promotion of Science
Foundational Questions Institute
NTT Research and Silicon Valley Community Foundation.
Publisher
Springer Science and Business Media LLC
Subject
Computational Theory and Mathematics,Computer Networks and Communications,Statistical and Nonlinear Physics,Computer Science (miscellaneous)
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