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In a quantum simulation of a (2+1)D lattice gauge theory using a superconducting quantum processor, the dynamics of strings reveal the transition from deconfined to confined excitations as the effective electric field is increased.

2D Weyl semimetals are spin-polarized analogues of graphene that promise access to various topological properties of matter. Here, the authors evidence spin-polarized Weyl cones, Weyl nodes, and Fermi strings in monolayer bismuthene.

The authors present experimental evidence of three-dimensional superinsulation in a nanopatterned slab of NbTiN. In the electric Meissner state, they find polar nematic order arising from ferroelectric alignment of short electric strings excited by external electromagnetic fields.

Symmetry-allowed topological defects, like quantized vortices, often control the universal behavior of macroscopic quantum systems. Here, Mäkinen et al. report survival of half-quantum vortices in symmetry-breaking transitions to polar-distorted phases in nanostructure-confined superfluid ³He.

An array of nanomagnets in a kagome lattice structure should support the creation and separation of oppositely charged monopoles, which are connected by Dirac strings of flipped dipoles. And indeed, such monopoles and their Dirac strings can be observed at room temperature.

Many-body two- and three-string states are realized experimentally in the antiferromagnetic Heisenberg–Ising chain SrCo₂V₂O₈ in strong longitudinal magnetic fields.

A quantum simulation of a (2 + 1)-dimensional lattice gauge theory is carried out on a quantum computer working with neutral atoms trapped by optical tweezers in a Kagome geometry.

Strings of local excitations are interesting features of a strongly correlated topological quantum matter. Here, the authors show that Boltzmann-distributed strings of local excitations also describe the topological physics of the Santa Fe geometry of artificial spin ice, which is a classical thermal system.

The deformation of soft materials under high rates remains challenging to be probed directly and thus understood. Huerre et al. examine the self-assembly of colloids confined at a fluid interface driven by ultrasound and show the formation of string-like microstructures caused by dynamic capillarity.

Compared to other sequences, extra-long tandem repeats, such as centromeres and immunoglobulin loci, are more difficult to align. This study presents UniAligner, a computational method for efficiently and accurately aligning extra-long tandem repeats, facilitating analysis of their variation and evolution.

In this study, the authors investigate the impact of noise on quantum computing with a focus on the challenges in sampling bit strings from noisy quantum computers, which has implications for optimization and machine learning.

Chiral interactions in magnetic systems enable topologically nontrivial magnetic textures, most notably topological solitons such as skyrmions. Here Volkov et al study the magneto-chiral interactions in a small asymmetric magnetic cap, and show how the geometric asymmetry influence the chiral spin- textures.

By implementing random circuit sampling, experimental and theoretical results establish the existence of transitions to a stable, computationally complex phase that is reachable with current quantum processors.

Cyclization provides a general strategy for improving peptide proteolytic stability, cell membrane permeability and target binding affinity. Here the authors develop a cyclopropenone-based proximity-driven chemical linker for the site-specific cyclization of phage-displayed peptides.

Learning Hamiltonians or Lindbladians of quantum systems from experimental data is important for characterization of interactions and noise processes in quantum devices. Here the authors propose an efficient protocol based on estimating time derivatives using multiple temporal sampling points and robust polynomial interpolation.

Mass spectrometry-based lipidomics and metabolomics generate large, complex datasets requiring effective analysis. Here, authors review key statistical and visualization methods alongside widely used R and Python tools, and provide a GitBook with step-by-step code for accessible, reproducible data analysis.

Soft clamping reduces the dissipation of nanomechanical resonators, but this method has been limited to amorphous materials. When applied in crystalline silicon, it enables resonators with quality factors beyond ten billion.

On a 51-ion quantum simulator, we investigate locality of entanglement Hamiltonians for a Heisenberg chain, demonstrating Bisognano–Wichmann predictions of quantum field theory applied to lattice many-body systems, and observe the transition from area- to volume-law scaling of entanglement entropies.

An initial draft of the human pangenome is presented and made publicly available by the Human Pangenome Reference Consortium; the draft contains 94 de novo haplotype assemblies from 47 ancestrally diverse individuals.

As a benchmark for the development of a future quantum computer, sampling from random quantum circuits is suggested as a task that will lead to quantum supremacy—a calculation that cannot be carried out classically.

The use of artificial intelligence (AI) in sustainability-related scholarly work, such as Sustainable Development Goal research, is growing. An analysis now finds that few studies actually use AI to address normative or transformative dimensions of sustainability science, limiting the potential of relevant AI applications.

Quarks in the interior of hadrons make up most of ordinary matter, yet their observation is not possible, and their properties can only be probed indirectly. Adopting an analogy between physics of superinsulators and high energy physics, the authors present direct observations of the interior of electric mesons made of Cooper pairs by standard transport measurements.

Tensor network states efficiently parametrize many-body quantum ground states and entanglement properties of strongly correlated systems. Here, the authors show how the presence of anyons and topological order can be related to symmetry breaking in the virtual boundary theory of the network.

Brief ciprofloxacin exposure in humans drives antibiotic resistance evolution in gut bacteria through selective sweeps, particularly involving DNA gyrase mutations, which persist long after exposure and demonstrate the human gutʼs capacity to promote resistance evolution.

The bulk properties of materials that lack long-range order have been widely studied, but their local structures remain difficult to elucidate. Now, using scanning tunnelling microscopy, researchers have been able to look more closely at the structural motifs of robust, two-dimensional glassy networks assembled through metal–ligand interactions.

A unitary protocol for braiding projective non-Abelian Ising anyons in a generalized stabilizer code is implemented on a superconducting processor, allowing for verification of their fusion rules and realization of their exchange statistics.

A proposal describes how to detect topologically ordered states of ultracold matter in an optical lattice, and shows how these exotic states, which strongly correlated quantum systems can exhibit, could be harnessed for practical applications, such as robust quantum computation.

Whole-genome sequencing data from more than 2,500 cancers of 38 tumour types reveal 16 signatures that can be used to classify somatic structural variants, highlighting the diversity of genomic rearrangements in cancer.

Searchable dynamic peptide libraries, which are based on the sequence exchange of unprotected peptides under user-defined conditions, can be used to discover self-assembled peptide nanostructures.

AfCycDesign: Cyclic offset to the relative positional encoding in AlphaFold2 enables accurate structure prediction, sequence redesign, and de novo hallucination of cyclic peptide monomers and binders.

The growing complexity of quantum computing devices makes presents challenges for benchmarking their performance as previous, exhaustive approaches become infeasible. Here the authors characterise the quality of their 11-qubit device by successfully computing two quantum algorithms.

A multiplex de Bruijn graph algorithm allows high-accuracy genome assembly from long, high-fidelity reads.

One-dimensional conductance is governed by complex dynamics due to increased electron-electron correlations that give rise to a range of exotic physical phenomena. Here, the authors provide a theoretical description of recent experimental results showing fractional conductance plateaus under zero magnetic field that occur in ultra-clean quasi one-dimensional nanowires.

A stochastic background of gravitational waves is expected to arise from a superposition of a large number of unresolved gravitational-wave sources and should carry unique signatures from the earliest epochs of the Universe. Limits on the amplitude of the stochastic gravitational-wave background are now reported using the data from a two-year science run of the Laser Interferometer Gravitational-wave Observatory. These limits rule out certain models of early Universe evolution.

The standard model describes many aspects of particle physics but mechanisms such as the binding of quarks into hadrons, still remain a mystery. The authors theoretically outline an analogy with the Cooper pairs of a superinsulator to demonstrate that the mechanisms behind the infinite resistance of a superinsulator are analogous to that which confine quarks into hadrons.

A particle shower detected by the IceCube Neutrino Observatory at the very high energy of the Glashow resonance demonstrates its potential for the study of high-energy particle physics and astrophysics.

Fragment-based drug design is an efficient yet challenging approach for developing therapeutics. Here, the authors employ structure-based docking screens of vast fragment libraries to identify inhibitors of 8-oxoguanine DNA glycosylase, a difficult drug target implicated in cancer and inflammation.