References & Citations
Quantum Physics
Title: Neural-network quantum state tomography
(Submitted on 14 Jun 2022)
Abstract: We revisit the application of neural networks techniques to quantum state tomography. We confirm that the positivity constraint can be successfully implemented with trained networks that convert outputs from standard feed-forward neural networks to valid descriptions of quantum states. Any standard neural-network architecture can be adapted with our method. Our results open possibilities to use state-of-the-art deep-learning methods for quantum state reconstruction under various types of noise.
Submission history
From: Luis L. Sanchez. Soto [view email][v1] Tue, 14 Jun 2022 10:37:54 GMT (363kb,D)
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