Journal
NATURE PHYSICS
Volume 13, Issue 12, Pages 1158-+Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/NPHYS4244
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Funding
- Austrian Science Fund (FWF) [P25354-N20]
- European Commission via the integrated project SIQS
- Institut fur Quanteninformation GmbH
- US Army Research Office [W911NF-14-1-0103, W91-1NF-14-1-0133]
- Alexander von Humboldt Professorship
- ERC Synergy grant BioQ
- EU project QUCHIP
- EU project EQUAM
- BMBF Verbundproject QuOReP
- state of Baden-Wurttemberg through bwHPC
- German Research Foundation (DFG) [INST 40/467-1 FUGG]
- Alexander von Humboldt Foundation
- European Union Horizon collaborative project QuProCS [641277]
- AFOSR [FA9550-12-1-0057]
- ERC
- cluster of excellence Quantum Engineering and Space-Time Research [EXC201]
- DFG [SFB 1227]
- EPSRC [EP/K04057X/2]
- UK National Quantum Technologies Programme [EP/M01326X/1]
- START prize of the Austrian FWF project [Y 849-N20]
- EPSRC [EP/K04057X/2] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/K04057X/2] Funding Source: researchfish
- Austrian Science Fund (FWF) [P25354] Funding Source: Austrian Science Fund (FWF)
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Quantum state tomography is the standard technique for estimating the quantum state of small systems(1). But its application to larger systems soon becomes impractical as the required resources scale exponentially with the size. Therefore, considerable effort is dedicated to the development of new characterization tools for quantum many-body states(2-11). Here we demonstrate matrix product state tomography(2), which is theoretically proven to allow for the efficient and accurate estimation of a broad class of quantum states. We use this technique to reconstruct the dynamical state of a trapped-ion quantum simulator comprising up to 14 entangled and individually controlled spins: a size far beyond the practical limits of quantum state tomography. Our results reveal the dynamical growth of entanglement and describe its complexity as correlations spread out during a quench: a necessary condition for future demonstrations of better-than-classical performance. Matrix product state tomography should therefore find widespread use in the study of large quantum many-body systems and the benchmarking and verification of quantum simulators and computers.
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