Video URL
https://pirsa.org/24040113The Stability of Gapped Quantum Matter and Error-Correction with Adiabatic Noise - VIRTUAL
APA
Lavasani, A. (2024). The Stability of Gapped Quantum Matter and Error-Correction with Adiabatic Noise - VIRTUAL. Perimeter Institute for Theoretical Physics. https://pirsa.org/24040113
MLA
Lavasani, Ali. The Stability of Gapped Quantum Matter and Error-Correction with Adiabatic Noise - VIRTUAL. Perimeter Institute for Theoretical Physics, Apr. 23, 2024, https://pirsa.org/24040113
BibTex
@misc{ scivideos_PIRSA:24040113, doi = {10.48660/24040113}, url = {https://pirsa.org/24040113}, author = {Lavasani, Ali}, keywords = {Quantum Matter}, language = {en}, title = {The Stability of Gapped Quantum Matter and Error-Correction with Adiabatic Noise - VIRTUAL}, publisher = {Perimeter Institute for Theoretical Physics}, year = {2024}, month = {apr}, note = {PIRSA:24040113 see, \url{https://scivideos.org/index.php/pirsa/24040113}} }
Ali Lavasani University of California, Santa Barbara
Abstract
The code space of a quantum error-correcting code can often be identified with the degenerate ground-space within a gapped phase of quantum matter. We argue that the stability of such a phase is directly related to a set of coherent error processes against which this quantum error-correcting code (QECC) is robust: such a quantum code can recover from adiabatic noise channels, corresponding to random adiabatic drift of code states through the phase, with asymptotically perfect fidelity in the thermodynamic limit, as long as this adiabatic evolution keeps states sufficiently "close" to the initial ground-space. We further argue that when specific decoders -- such as minimum-weight perfect matching -- are applied to recover this information, an error-correcting threshold is generically encountered within the gapped phase. In cases where the adiabatic evolution is known, we explicitly show examples in which quantum information can be recovered by using stabilizer measurements and Pauli feedback, even up to a phase boundary, though the resulting decoding transitions are in different universality classes from the optimal decoding transitions in the presence of incoherent Pauli noise. This provides examples where non-local, coherent noise effectively decoheres in the presence of syndrome measurements in a stabilizer QECC.
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