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  4. Approaching optimal entangling collective measurements on quantum computing platforms
 
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2023
Journal Article
Title

Approaching optimal entangling collective measurements on quantum computing platforms

Abstract
Entanglement is a fundamental feature of quantum mechanics and holds great promise for enhancing metrology and communications. Much of the focus of quantum metrology so far has been on generating highly entangled quantum states that offer better sensitivity, per resource, than what can be achieved classically. However, to reach the ultimate limits in multi-parameter quantum metrology and quantum information processing tasks, collective measurements, which generate entanglement between multiple copies of the quantum state, are necessary. Here, we experimentally demonstrate theoretically optimal single- and two-copy collective measurements for simultaneously estimating two non-commuting qubit rotations. This allows us to implement quantum-enhanced sensing, for which the metrological gain persists for high levels of decoherence, and to draw fundamental insights about the interpretation of the uncertainty principle. We implement our optimal measurements on superconducting, trapped-ion and photonic systems, providing an indication of how future quantum-enhanced sensing networks may look.
Author(s)
Conlon, Lorcán O.
Vogl, Tobias
Marciniak, Christian D.
Pogorelov, Ivan
Yung, Simon K.
Eilenberger, Falk  
Fraunhofer-Institut für Angewandte Optik und Feinmechanik IOF  
Berry, Dominic W.
Santana, Fabiana S.
Blatt, Rainer
Monz, Thomas
Koy Lam, Ping
Assad, Syed M.
Journal
Nature physics  
Open Access
DOI
10.1038/s41567-022-01875-7
Additional full text version
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Language
English
Fraunhofer-Institut für Angewandte Optik und Feinmechanik IOF  
Keyword(s)
  • Quantum computers

  • Quantum entanglement

  • Quantum optics

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