Optical techniques adopted in optical computing rely on spatial multiplexing, requiring numerous integrated elements and restricting the architecture to perform a single kernel convolution per layer. The authors demonstrate a fiber-optic computing architecture based on temporal multiplexing that performs multiple convolutions in a single layer.

The mechanism behind the transient emergence of superconductivity upon irradiation with light in some materials is highly debated, which is in part due to the strong correlations at play. Here, the authors investigate the dynamical emergence of superconductivity in the strongly correlated, yet exactly solvable, Yukawa-Sachdev-Ye-Kitaev model and discuss differences and similarities to the relaxation dynamics of conventional superconductors.

Developing cryogenic memory is a crucial undertaking in advancing superconducting logic systems. Here, the authors demonstrate the realization of a superconducting memory cell, whose state is encoded by the number of current vortices within a Josephson junction, and the readout employs microwave currents for an energy-efficient, non-destructive process.

Optical beams carrying orbital angular momentum (OAM) are promising candidates for free-space optical communication. The authors devise a hybrid optical-electronic convolutional neural network approach reaching a 4-bit OAM-coded signal demultiplexing accuracy of 72.84% under strong atmospheric turbulence conditions with 3.2 times faster training time than all electronic convolutional neural network.

Quantum simulators study important models of condensed matter and high-energy physics. Research on synthetic dimensions has paved the way for studying exotic phenomena, such as curved space-times, topological phases of matter, lattice gauge theories, twistronics without a twist, and more

The frameworks to simulate pathogen, malware and failure spreading are computationally demanding, and they are subject to large statistical uncertainty. The authors develop efficient inference and control algorithms based on dynamic message passing to study a two-layer spreading process, where the spreading infection triggers cascading failures and leads to secondary disasters.

Quantum Speed Limit (QSL) is a lower bound on the time evolution for quantum systems. Still, experimental studies for open systems are few due to the lack of control over their environment’s interaction. The authors control the qubitreservoir interaction in an ensemble of chloroform molecules, observing crossovers between different QSLs.

From the cardiac system of various human patients, to changes in sea surface temperature across different oceans, dynamical systems often exhibit many common characteristics. Here we develop a framework for jointly learning the dynamics of multiple interrelated systems while leveraging their shared traits.

Reconstructing unstable heavy particles is a crucial aspect of many analyses at the Large Hadron Collider (LHC). We introduce SPA-Net, a machine-learning approach to this problem which outperforms existing baseline methods, performs several auxiliary tasks, and leads to significant improvements in three example flagship LHC analyses

Non-Hermitian (NH) systems have recently attracted great attention, and the NH bulk-boundary correspondence is a key question. The authors propose an approach to restore NH bulk-boundary correspondence by a “doubling and swapping" construction which eliminates the NH skin effect, resulting in a new NH Hamiltonian with the same energy spectrum.

Energetic neutrino beams from symmetric muon and anti-muon decays are used to study long-baseline neutrino oscillation, and constrain the Charge-Parity (CP) violation phase in the three-flavour neutrino mixing. Here, the authors provide results based on neutrino oscillation simulations to show that more than five standard deviation sensitivity on CP violation can be obtained from 5-10 years of data taken with the help of DUNE-like detectors.

Interacting electrons can collectively act as a viscous flow resembling a classical fluid, a phenomenon termed electron hydrodynamics. Here, the authors develop a framework to describe electron flow in narrow channels, demonstrating that the requirements for achieving electron hydrodynamic transport can be extended beyond what is currently considered possible.

By studying inertial spinners on an air table with different ratios between counterclockwise and clockwise species, the authors found that underdamped chiral spinners display phenomena usually unseen in overdamped chiral spinners. These include higher energy pumped into the minority species and oscillatory entropy when one species dominates the other.