Verifiable Quantum Random Sampling with Trapped Ions
Author Information
Author(s): Martin Ringbauer, Marcel Hinsche, Thomas Feldker, Paul K. Faehrmann, Juani Bermejo-Vega, Claire L. Edmunds, Lukas Postler, Roman Stricker, Christian D. Marciniak, Michael Meth, Ivan Pogorelov, Rainer Blatt, Philipp Schindler, Jens Eisert, Thomas Monz, Dominik Hangleiter
Primary Institution: Universität Innsbruck, Institut für Experimentalphysik, Innsbruck, Austria
Hypothesis
Can quantum random sampling be efficiently verified using measurement-based quantum computation?
Conclusion
The study demonstrates a feasible method for efficiently verifying quantum random sampling using trapped-ion quantum processors.
Supporting Evidence
- Efficient verification of quantum random sampling was achieved using measurement-based quantum computation.
- The study utilized qubit recycling to enable larger cluster states than the physical qubit register size.
- Direct fidelity estimation was shown to be an effective method for verifying quantum states.
Takeaway
This research shows how we can check if a quantum computer is doing its job correctly when it samples from random numbers, using special techniques with trapped ions.
Methodology
The authors used trapped-ion quantum processors to create and sample from random cluster states, employing techniques for qubit recycling and fidelity estimation.
Limitations
The experiments were limited to small cluster sizes, and the efficiency of the verification methods may be affected by noise.
Digital Object Identifier (DOI)
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