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Related Experiment Video

Updated: May 7, 2025

Experimental Methods for Trapping Ions Using Microfabricated Surface Ion Traps

Experimental Methods for Trapping Ions Using Microfabricated Surface Ion Traps

Published on: August 17, 2017

Verifiable measurement-based quantum random sampling with trapped ions.

Martin Ringbauer¹, Marcel Hinsche², Thomas Feldker^3,4

¹Universität Innsbruck, Institut für Experimentalphysik, Innsbruck, Austria. martin.ringbauer@uibk.ac.at.

Nature Communications

|January 2, 2025

Summary

This summary is machine-generated.

Researchers demonstrate verifiable quantum random sampling on trapped-ion processors. This breakthrough offers a scalable method to confirm quantum advantage, overcoming limitations of current verification techniques.

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Last Updated: May 7, 2025

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Area of Science:

Quantum Information Science
Experimental Quantum Computing
Quantum Computation Verification

Background:

Quantum computers are nearing classical performance limits.
Verifying quantum random sampling is crucial for demonstrating quantum advantage.
Current verification methods are not scalable to the quantum advantage regime.

Purpose of the Study:

To experimentally demonstrate efficiently verifiable quantum random sampling.
To address the outstanding challenge of verifying quantum computation.
To provide a feasible path toward a verified demonstration of quantum advantage.

Main Methods:

Utilized the measurement-based model of quantum computation.
Employed a trapped-ion quantum processor.
Created and sampled from random cluster states up to 4x4 qubits.
Recycled qubits to sample from larger entangled cluster states.

Main Results:

Successfully demonstrated efficiently verifiable quantum random sampling.
Efficiently estimated fidelity to verify prepared states.
Compared results to cross-entropy benchmarking.
Studied the impact of experimental noise on verification certificates.

Conclusions:

The developed techniques offer a practical approach for verifying quantum advantage.
This work advances the field of experimental quantum computation and verification.
Overcomes limitations of existing verification tools for quantum random sampling.