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Dr Jared Jeyaretnam ⚛️🧪
@jaredjeya.github.io

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...
Dr Jared Jeyaretnam ⚛️🧪
@jaredjeya.github.io

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!)

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Dr Jared Jeyaretnam ⚛️🧪
@jaredjeya.github.io

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)

Dr Jared Jeyaretnam ⚛️🧪
@jaredjeya.github.io

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 ...