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Many-Body Chern Number from Statistical Correlations of Randomized Measurements

Ze-Pei Cian, Hossein Dehghani, Andreas Elben, Benoît Vermersch, Guanyu Zhu, Maissam Barkeshli, P. Zoller, Mohammad Hafezi

2021Physical Review Letters69 citationsDOIOpen Access PDF

Abstract

One of the main topological invariants that characterizes several topologically ordered phases is the many-body Chern number (MBCN). Paradigmatic examples include several fractional quantum Hall phases, which are expected to be realized in different atomic and photonic quantum platforms in the near future. Experimental measurement and numerical computation of this invariant are conventionally based on the linear-response techniques that require having access to a family of states, as a function of an external parameter, which is not suitable for many quantum simulators. Here, we propose an ancilla-free experimental scheme for the measurement of this invariant, without requiring any knowledge of the Hamiltonian. Specifically, we use the statistical correlations of randomized measurements to infer the MBCN of a wave function. Remarkably, our results apply to disklike geometries that are more amenable to current quantum simulator architectures.

Topics & Concepts

Hamiltonian (control theory)PhysicsQuantum Hall effectComputationInvariant (physics)QuantumWave functionStatistical physicsQuantum computerWeak measurementTheoretical physicsQuantum mechanicsComputer scienceAlgorithmMathematicsMathematical optimizationElectronTopological Materials and PhenomenaQuantum and electron transport phenomenaQuantum many-body systems
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