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About Quantum Autoencoders With Enhanced Data Encoding
The document presents an enhanced quantum autoencoder (EF-QAE) algorithm that can compress quantum states from different models with higher fidelity than a standard quantum autoencoder. The EF-QAE defines a parameterized quantum circuit dependent on adjustable parameters and a feature vector characterizing the model. Simulations show the EF-QAE improves compression performance for ground states of the Ising model and handwritten digits compared to the standard autoencoder using the same quantum resources, at the cost of additional classical optimization, making it better suited for near-term quantum devices.
Detailed Information
| Author: | ['foobaruk'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 7 |
| Language: | English |
| Format: | |
| Price: | FREE |
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