The Rayleigh-Taylor instability in a binary quantum fluid

Instabilities, where initially small fluctuations seed the formation of large-scale structures, govern the dynamics in wide variety of fluid flows. The Rayleigh-Taylor instability (RTI) is an iconic example that leads to the development of mushroom-shaped incursions when immiscible fluids are accelerated into each other. RTI drives structure formation throughout science and engineering including table-top oil and water mixtures; supernova explosions; and inertial confinement fusion.  Despite its ubiquity, controlled laboratory RTI experiments are technically challenging.

Detecting emergent 1-form symmetries with quantum error correction

Quantum many-body systems can host exotic phases of matter characterized by their quantum entanglement. Among them are phases with topological order. In this talk we discuss how to explore the toric code model in a field (or equivalently the Fradkin-Shenker lattice gauge theory) — a paradigmatic model hosting a Z2 topologically ordered phase and a trivial phase — on a quantum processor [1]. We then focus on the higher-form symmetries of the model. In contrast to global on-site (0-form) symmetries, higher-from symmetries act on subdimensional manifolds.

Probing Quantum Anomalous Hall States in Twisted Bilayer WSe2 via Attractive Polaron Spectroscopy

Moire superlattices in semiconductors are predicted to exhibit a rich variety of interaction-induced topological states. However, experimental demonstrations of such topological states, apart from MoTe2 superlattices [1–8], have remained scarce [9, 10]. Here, we report the first optical detection of quantum anomalous Hall (QAH) states in twisted WSe2 homobilayer (tWSe2). Specifically, we employ polarization-resolved attractive polaron spectroscopy on a dual-gated, 2degree tWSe2 and observe direct signatures of spontaneous time-reversal symmetry breaking at hole filling ν = 1.

Origin of edge states in 𝛑-conjugated systems revealed by explicit Clar models

Edge states—localized electronic states at the boundaries of a material—are often attributed to structural defects or topological features in crystalline solids. In finite 𝜋-conjugated systems such as graphene nanoribbons, boron nitride, and short segments of single-walled carbon nanotubes, these edge states can lead to electron scattering and fluorescence quenching. Computational studies have shown that certain chemical modifications, such as tailored edge-passivation and fullerene-end capping, can suppress these states.

Polarization-Preserving Quantum Frequency Conversion for Trapped-Ion Quantum Networking

While trapped ions are well-developed technologies for both quantum computation and simulation, incorporating them into nodes of a quantum network typically requires quantum frequency conversion (QFC). QFC extends the network's operating range given that most atomic ions emit polarization-entangled photons in the visible or near-infrared wavelengths.We demonstrate two-stage, polarization-preserving QFC for shifting Ba+ single photons upwards of 375 THz to the telecom O-band for quantum networking.

Certified Randomness from a Trapped-Ion Quantum Processor

Recently, an experiment using a quantum processor realized a protocol for ‘Certified Randomness’, generating remotely verifiable randomness appealing for applications involving mutually untrusting parties. This protocol builds on the success of pushing the ability of quantum computers to perform beyond-classical computational tasks and leverages the classical hardness of sampling from random quantum circuits to certify 70 kbits of entropy against a realistic adversary using best-known attacks.

Fast noise-adaptive quasi-local decoders for topological quantum error correcting codes

There has been increasing interest in classifying mixed quantum states with topological order, particularly in understanding when states connected by local noise channels remain in the same topological phase. This framework has recently been applied to topological quantum error-correcting codes, where the use of the Petz recovery map has shown that phase transitions in mixed states align with the decodability threshold of these codes. Motivated by these insights, we introduce a scalable, parallelized, quasi-local decoder that achieves near-optimal performance for topological codes.