Post

This was recently the subject of a Google Quantum AI experiment, which simulated DFL on a quantum processor (in the context of a lattice gauge theory). The lack of disorder means far fewer experimental shots are needed to run your simulation, meaning DFL is ideal for studying localisation phenomena

science.orgObservation of disorder-free localization using a (2+1)D lattice gauge theory on a quantum processorDisorder-induced phenomena in quantum many-body systems pose a challenge for analytical and numerical approaches at relevant time and system scales. To reduce the cost of disorder sampling, we investi...

The model in the Google experiment maps to an effective ensemble of disordered models, specifically a mixed-field Ising model with two-level discrete bond disorder. While they observe a localised regime at accessible timescales, we wanted to study how this changes with n-level disorder (for n > 2!)

We find, surprisingly, that the model mapping to two-level disorder wasn't enough to produce a true localised phase – in fact, we thermalise fairly quickly following a quench! Whereas for n = 4, 8 we see long-lived localisation and other signatures of a localised phase (like "area law" entanglement)

Our results have implications for future experiments – your effective disorder variables may need to be more than just random signs, but encode a diverse spread of amplitudes. However, this requires more qubits to encode! Hopefully we can test this experimentally soon :) arxiv.org/abs/2607.26156

arxiv.orgRole of flavor degrees of freedom in quantum simulations of disorder-free localizationA recent \texttt{Google Quantum AI} experiment [\href{https://www.science.org/doi/10.1126/science.adr9680}{Gyawali \textit{et al.}, Science \textbf{393}, 71 (2026)}] has exploited quantum parallelism ...

0 reposts0 likes

No replies yet.