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QI: Fachverband Quanteninformation

QI 24: Verification and Benchmarking of Quantum Systems

QI 24.13: Vortrag

Donnerstag, 21. März 2024, 13:00–13:15, HFT-TA 441

Overcoming scalability bottlenecks of detecting quantum entanglement — •Daniel Miller1, Lukas Postler2, Antonio Anna Mele1, Kyano Levi1, Christian Marciniak2, Ivan Pogorelov2, Milena Guevara-Bertsch2, Alex Steiner2, Robert Freund2, Rainer Blatt2,3, Philipp Schindler2, Jose Carrasco2, Martin Ringbauer2, Thomas Monz2,4, and Jens Eisert11Freie Universität Berlin — 2Universität Innsbruck — 3IQOQI — 4AQT

Concomitant with the rapid development of architectures in quantum technologies, increasingly sophisticated methods of quantum system identification are being developed. Mature schemes of quantum system identification should be (i) sample efficient in the system size, including an (ii) efficient classical post-processing, must be (iii) provably robust under realistic error models for a large class of states and (iv) should solely rely on experimentally feasible capabilities when resorting to quantum data processing. In this work, we identify sufficient requirements on the quality of a quantum device to permit provably scalable entanglement detection. Our proof is enabled by novel techniques that further strengthen the already deep connection between the theories of quantum entanglement and quantum error correction.

Keywords: entanglement; scalability; near-term; quantum memories; ion traps

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