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Entanglement transitions in translation-invariant tensor networks
Yi-Cheng Wang, Samuel J. Garratt, Ehud Altman
We study the complexity of approximately contracting translation-invariant tensor networks. The computational cost of row-by-row tensor network contraction, which defines a discret…
Stability of quantum chaos against weak non-unitarity
Yi-Cheng Wang, Ehud Altman, Samuel J. Garratt
We study the quantum dynamics generated by the repeated action of a non-unitary evolution operator on a system of qubits. Breaking unitarity can lead to the purification of mixed i…
Lower bounds on the complexity of preparing mixed states
Max McGinley, Samuel J. Garratt
We establish a relationship between the correlations in a many-qubit mixed state and the minimum circuit depth needed for its preparation. If the mutual information between two sub…
Machine learning the effects of many quantum measurements
Wanda Hou, Samuel J. Garratt, Norhan M. Eassa +4
Measurements are essential for the processing and protection of information in quantum computers. They can also induce long-range entanglement between unmeasured qubits. However, w…
Entanglement and private information in many-body thermal states
Samuel J. Garratt, Max McGinley
We use concepts from quantum cryptography to relate the entanglement in many-body mixed states to standard correlation functions. If a system can be used as a resource for distilli…