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Published on: August 12, 2013
Experimental Demonstration of a Cheap and Accurate Phase Estimation
Kenneth Rudinger1, Shelby Kimmel2, Daniel Lobser3
1Center for Computing Research, Sandia National Laboratories, Albuquerque, New Mexico 87185, USA.
We developed robust phase estimation (RPE) for quantum computing, achieving high precision in learning qubit rotation phases with minimal data. This method offers a more efficient alternative to standard protocols.
Area of Science:
- Quantum Information Science
- Atomic Physics
- Quantum Metrology
Background:
- Accurate phase estimation is crucial for quantum computation and metrology.
- Standard phase estimation protocols often require ideal experimental conditions and auxiliary qubits.
- Trapped ion qubits offer a promising platform for implementing quantum information tasks.
Purpose of the Study:
- To experimentally implement and validate robust phase estimation (RPE) for a single-qubit rotation on a trapped Ytterbium-ion qubit.
- To demonstrate that RPE can achieve high precision with a limited number of experimental samples.
- To compare the performance of RPE against established quantum characterization techniques.
Main Methods:
- Experimental implementation of robust phase estimation (RPE) on a single-qubit gate of a trapped Ytterbium-ion qubit.
- Utilizing a minimal number of experimental samples (176) for phase estimation.
- Cross-validation of RPE results using gate set tomography (GST).
Main Results:
- Achieved phase estimation uncertainty below 4×10⁻⁴ radians.
- Demonstrated Heisenberg scaling of estimation uncertainty with the number of samples.
- RPE successfully estimated the phase without assuming perfect state preparation and measurement, and without requiring ancilla qubits.
Conclusions:
- Robust phase estimation (RPE) provides a resource-efficient and highly accurate method for learning quantum gate parameters.
- The experimental demonstration on a trapped Ytterbium-ion qubit validates RPE's practical applicability.
- RPE offers a viable alternative to more resource-intensive protocols like gate set tomography for quantum characterization.
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