5 papers
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…
Charge-Informed Quantum Error Correction
Vlad Temkin, Zack Weinstein, Ruihua Fan +2
We investigate the statistical physics of quantum error correction in symmetry-enriched topological quantum memories. Starting from a phenomenological error model of c…
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…
Fractional quantum Hall states under density decoherence
Zijian Wang, Ruihua Fan, Tianle Wang +2
Fractional quantum Hall states are promising platforms for topological quantum computation due to their capacity to encode quantum information in topologically degenerate ground st…
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…