Strong entanglement, a quintessential feature of quantum mechanics, is typically a signature of a successfully implemented quantum simulator. Indeed, the aim of these experiments is the preparation and control of systems which show genuine quantum features. For example, recent experiments with trapped ions were designed to implement critical systems – a scenario which is known to become hard to simulate numerically with increasing number of spins due to the presence of large quantum correlations. In order to determine the entanglement in an experiment, one has to take into account that measurements to extract the required information are not only limited by the specifications of the different experimental platforms but, more generally, also by the large dimension of the Hilbert space. A familiar choice to overcome these issues are entanglement witnesses. In our work we determine entanglement witnesses that are quantitative in the sense that they determine lower bounds to the logarithmic negativity, a widely used entanglement measure, that can be obtained to reveal the behavior of entanglement across quantum phase transitions experimentally. In particular, we describe how these witnesses can be measured, e.g., using a short sequence of gate operations and we study the robustness of these measurements in the presence of noise.
- Jorge is a dad!
- Work of the group is published in Science
- Quantum biology work of the group features in a full page particle in the Frankfurter Allgemeine Sonntagszeitung
- ITP and the Center of QuantumBioSciences is part of newly approved Collaborative Research Center 1279
- The work of the Institute was mentioned in The Economist
Most Recent Papers
•Arbitrary nuclear-spin gates in diamond mediated by a nitrogen-vacancy-center electron spin, Physical Review A, 96, 032314 (2017)
•Momentum coupling in non-Markovian quantum Brownian motion, Physical Review A, 96, 012109 (2017)
•Autonomous Quantum Clocks: Does Thermodynamics Limit Our Ability to Measure Time?, Physical Review X, 7, 031022 (2017)
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