A trapped-ion experiment demonstrates adaptive measurement-based simulation of real-time Z2 lattice gauge theory dynamics, with one-form-symmetry syndromes used for postselection.
Measurement-based quantum computation with trapped ions
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abstract
Measurement-based quantum computation (MBQC) represents a powerful and flexible framework for quantum information processing, based on the notion of entangled quantum states as computational resources. The most prominent application is the one-way quantum computer, with the cluster state as its universal resource. Here we demonstrate the principles of MBQC using deterministically generated graph states of up to 7 qubits, in a system of trapped atomic ions. Firstly we implement a universal set of operations for quantum computing. Secondly we demonstrate a family of measurement-based quantum error correction codes, and show their improved performance as the code length is increased. We show that all our graph states violate a multipartite Bell inequality and are therefore capable of information processing tasks that cannot be described by a local hidden variable model. The methods presented can directly be scaled up to generate graph states of several tens of qubits.
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Measurement-based simulation of lattice gauge theory dynamics with adaptive quantum circuits on a trapped-ion processor
A trapped-ion experiment demonstrates adaptive measurement-based simulation of real-time Z2 lattice gauge theory dynamics, with one-form-symmetry syndromes used for postselection.