Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as weather patterns, recorded speech or stock market trends. Classical ...

We have observed the emergence of infinite range interactions between atoms. The interactions are mediated via the cavity mode as an interaction bus into which atoms can emit a photon and another atom ...

Neural-network-based variational quantum states, particularly autoregressive models, are powerful tools for describing complex many-body wave functions. However, their performance depends on the ...

Topology and symmetry play critical roles in characterizing quantum phases of matter. Recent advancements have unveiled symmetry-protected topological (SPT) phases in many-body systems as a unique ...

The team successfully simulated many-body quantum chaos on a 91-qubit superconducting quantum processor using dual-unitary (DU) circuits. The DU circuits contain gates that exhibit unitarity in both ...

A team of researchers have developed a new method for characterising quantum properties of large systems using graph theory Artistic impression of quantum entanglement of two atoms (Courtesy: ...

When scientists repeatedly drove a strongly interacting quantum system with laser “kicks,” they expected it to heat up and grow chaotic. Instead, the atoms abruptly stopped absorbing energy and locked ...