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Quantum Neuromorphic Platform for Quantum State Preparation
Sanjib Ghosh1,2, Tomasz Paterek1,2,3, Timothy C H Liew1,2
1School of Physical and Mathematical Sciences, Nanyang Technological University, 637371 Singapore.
Physical Review Letters
|January 18, 2020
Summary
We developed a quantum neural network for preparing quantum states. This compact device uses optical input to generate states like single-photon and Schrödinger's cat states for quantum technologies.
Area of Science:
- Quantum information science
- Quantum computing
- Quantum optics
Background:
- Quantum state preparation is crucial for quantum technologies.
- Current methods can be complex and resource-intensive.
Purpose of the Study:
- To develop a novel, compact quantum state preparation device.
- To utilize a quantum neural network framework for state generation.
Main Methods:
- A quantum reservoir state preparation scheme was developed.
- The scheme employs a quantum neural network framework.
- Classical optical excitation serves as the input.
Main Results:
- The scheme successfully prepared various quantum states, including single-photon states.
- Schrödinger's cat states and two-mode entangled states were also generated.
- Theoretical demonstration of the scheme's broad potential was achieved.
Conclusions:
- The proposed scheme offers a versatile approach to quantum state preparation.
- This method can serve as a compact device for emerging quantum technologies.
- The quantum neural network framework provides a powerful tool for quantum state engineering.
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