Polarization and Orbital Angular Momentum Encoded Quantum Toffoli Gate Enabled by Diffractive Neural Networks
Controlled quantum gates play a crucial role in enabling quantum universal operations by facilitating interactions between qubits. Direct implementation of three-qubit gates simplifies the design of quantum circuits, thereby being conducive to performing complex quantum algorithms. Here, we propose and present an experimental demonstration of a quantum Toffoli gate fully exploiting the polarization and orbital angular momentum of a single photon. The Toffoli gate is implemented using the polarized diffractive neural networks scheme, achieving a mean truth table visibility of 97.27±0.20%. We characterize the gate's performance through quantum state tomography on 216 different input states and quantum process tomography, which yields a process fidelity of 94.05±0.02%. Our method offers a novel approach for realizing the Toffoli gate without requiring exponential optical elements while maintaining extensibility to the implementation of other three-qubit gates.
Authors
- Qianke Wang (ORCID: https://orcid.org/0000-0002-1649-5795)
- Dawei Lyu (ORCID: https://orcid.org/0000-0002-3086-2387)
- Jun Liu (ORCID: https://orcid.org/0000-0003-3717-156X)
- Jian Wang (ORCID: https://orcid.org/0000-0002-0579-3041)
Institutions
- Wuhan National Laboratory for Optoelectronics (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Physical Review Letters
- Published
- 2024-09-30
- DOI
- https://doi.org/10.1103/physrevlett.133.140601
- Citations
- 8
- Primary Topic
- Neural Networks and Reservoir Computing
- Type
- article
- Field-Weighted Citation Impact
- 2.78
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Hubei Province