Carbon nanotubes are one-dimensional materials with remarkable electronic and mechanical properties. The authors show that chiral versions of these nanotubes can generate a chirality-dependent current-induced orbital magnetization (Edelstein effect) which is tunable by gating or doping, making them promising for future spin-orbitronic technologies.

Embedding complex networks in hyperbolic spaces facilitates navigation and link prediction, though recent techniques face diminishing improvements. The authors present CLOVE, a scalable method that hierarchically organizes communities down to the node level by solving instances of the Travelling Salesman Problems, delivering high-quality embeddings and high efficiency for networks up to millions of nodes.

The growing computational demands of AI are significantly increasing carbon emissions from the ICT sector, while traditional CMOS-based computing faces scaling and sustainability limits. This perspective explores photonic computing as a promising, energy-efficient alternative for enabling carbon-sustainable next-generation AI hardware.

The authors introduce a computational paradigm termed “entropy computing” to solve combinatorial optimization problems using an open quantum system, where engineered dissipations are employed to stabilize the system state to the ground state of a desired Hamiltonian and show that it can be realized on photonic hardware. Finally, they experimentally show its strong performance on max-cut related problems.

Dr. Ilana Wisby is a deep tech entrepreneur and advisor, known for her pioneering leadership in quantum computing and emotionally intelligent organisations. As founding CEO of Oxford Quantum Circuits (OQC), she helped shape Europe’s quantum landscape, championed love-based leadership, and is now building a new venture in stealth.

Large language models (LLMs) are a new and powerful tool for solving specific physics problems. Here, the authors explore their capabilities in solving three problems of increasing complexity in quantum optics, finding that with appropriate prompts and careful feedback, a well-trained LLM can be used as an effective scientific collaborator.

Rare-earth elements find a broad range of applications due to their unique magnetic, catalytic, and phosphorescent properties, but their efficient extraction poses challenges. Using Dysprosium as a representative example, this study introduces a framework incorporating tailored magnetic separation, revealing enhanced extraction kinetics through solutomagnetic convection with potential environmental implications.

The hybrid behavior of strongly interacting light and matter in cavities can be engineered by tailoring the cavity parameters, but simulating such systems is hard due to the complexity of the matter and quantum light. In this work, the authors derive an effective ab-initio theory reducing the light description to a single degree of freedom while ensuring finite light-matter coupling even in macroscopic systems.

In confined environments, such as soil and the gut, flow constrains the spatial organization of bacterial communities, impacting their ecological success. Here, the authors reveal that in a community of mixed motile and non-motile Escherichia coli in channels under Poiseuille flow, the motile bacteria induce segregation of non-motile cells, leading to asymmetric biofilm formation, with implications for understanding bacterial colonization dynamics.

Data show that the presence of women in quantum science is affected by several detriments, especially for higher positions. This Manifesto outlines the values and goals of Women for Quantum—a group of female physics professors working in AMO physics, quantum many-body physics and quantum information - to foster an inclusive scientific community.

Spin orbit torque (SOT) can be used as a tool for magnetisation switching in ferromagnetic materials and can be used to control the properties of devices such as magnetoresistive random-access memory. Here, the authors experimentally report an all-oxide heterostructure device that achieve room temperature SOT-induced magnetisation switching. Using DFT calculations they identify the Rashba-Edelstein effect as playing an important role in the observed properties.

Symmetry-protected topological phases are special states of matter that rely on symmetries to exhibit unique, robust properties. This work explores how these properties can reappear even when the symmetry seems broken at small scales, using a model system where quantum fluctuations effectively “restore" the symmetry and revive topological behavior.

Carbon exhibits several known allotropes and the amorphous equivalents exhibit an even wider range of structural variations that can be difficult to identify due to their lack of crystallinity. Here, the authors report large-scale machine-learned molecular dynamics simulations that maps the hidden topological orders of amorphous carbon as a function of temperature and density.