Abstracts
Poster Abstracts | Talk Abstracts
Fidelity Lower Bounds for Graph States from a Small, Constant Number of Measurement Settings
Presenting Author: Tyler Thurtell, University of New Mexico CQuIC
Contributing Author(s): Akimasa Miyake
Benchmarking the performance of noisy intermediate scale quantum (NISQ) devices is a major near-term challenge for quantum information science. A particularly important class of states across many areas of quantum information are the stabilizer or graph states. To aid in the evaluation of the quality of preparation of these states, we introduce operators whose expectation values in a prepared state lower bound the fidelity between that state and a target graph state. The operators we introduce are constructed from linear combinations of efficiently measurable stabilizers. On small graphs, we choose the coefficients to maximize the noise tolerance for a chosen noise model. We then extend the small graph operators to larger graphs so that performance is system size independent under weak, local noise. The result is a new family of operators whose expectation values give fidelity lower bounds for graph states which are tighter while requiring only a constant number of measurement settings.
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