Autoencoding-Assisted Quantum Cloning Machine

Area of Science:

• Quantum Information Science
• Quantum Computing
• Quantum Communication

Background:

• Universal quantum cloning machines are vital for quantum information processing, including communication and cryptography.
• Cloning fidelity decreases with increasing Hilbert space dimension, limiting high-dimensional state cloning efficiency.

Purpose of the Study:

• To introduce a Hybrid Quantum Autocloning Machine (HQAM) to enhance quantum state cloning fidelity in high-dimensional systems.
• To investigate the effectiveness of combining quantum autoencoding with universal quantum cloning.

Main Methods:

• Developed a Hybrid Quantum Autocloning Machine (HQAM) integrating quantum autoencoding and universal quantum cloning.
• Compressed high-dimensional quantum states into a lower-dimensional subspace via a quantum autoencoder.
• Performed cloning within the reduced subspace and reconstructed the state in the original Hilbert space.

Main Results:

• HQAM achieved cloning fidelities surpassing direct qutrit universal cloning for states overlapping with the effective qubit subspace.
• Fidelities approached the optimal qubit cloning limit.
• The method demonstrated robustness against noise.

Conclusions:

• Compression-assisted cloning offers a practical strategy to boost cloning performance in high-dimensional quantum systems.
• HQAM can enable more efficient quantum information processing protocols.
• This approach addresses the fidelity limitations of universal quantum cloning in higher dimensions.