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Efficient multimode Wigner tomography
Kevin He1,2, Ming Yuan3, Yat Wong3
1James Franck Institute, University of Chicago, Chicago, IL, 60637, USA. hek@uchicago.edu.
Nature Communications
|May 16, 2024
Summary
Researchers developed a new quantum state reconstruction method that scales polynomially, not exponentially, with system size. This advance makes characterizing complex quantum states more efficient for larger quantum systems.
Area of Science:
- Quantum Information Science
- Quantum Computing
- Quantum Optics
Background:
- Quantum systems can create complex states across multiple bosonic cavity modes.
- Traditional quantum state tomography requires exponential resources, limiting scalability with system size.
- Characterizing multi-mode quantum states is computationally and experimentally challenging.
Purpose of the Study:
- To implement a novel state reconstruction method with polynomial scaling.
- To overcome the limitations of exponential scaling in traditional quantum state tomography.
- To enable efficient characterization of complex multi-mode quantum states.
Main Methods:
- Developed and implemented a state reconstruction technique with polynomial sampling requirements.
- Utilized Wigner tomography for state reconstruction.
- Experimentally demonstrated the method on a 3D circuit quantum electrodynamics (cQED) system.
Main Results:
- The new method's sampling requirement scales polynomially with the number of modes.
- Successfully reconstructed multi-mode entangled W states up to 4 modes.
- Achieved comparable efficiency to existing methods for 2 modes, with significant improvements for 3 and 4 modes.
Conclusions:
- The polynomial scaling method offers a more efficient approach for characterizing complex quantum states.
- This technique shows significant advantages for systems with a higher number of modes.
- The findings pave the way for more scalable quantum state characterization in advanced quantum systems.

