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People do not have to dismiss or exaggerate the climate threat to justify concerted action.

Quantum error correction codes protect quantum information, but running algorithms also requires the ability to perform gates on logical qubits. A lattice surgery scheme for fault-tolerant gates has now been demonstrated in a quantum repetition code.

Language models can write human-readable code that captures general design rules, generating whole families of quantum experiments at once. A design strategy described here makes results interpretable and scalable, as well as accelerates discovery.

For solid-state qubits, the material environment hosts sources of errors that vary in time and space. This systematic analysis of errors affecting high-fidelity two-qubit gates in silicon can inform the design of large-scale quantum computers.

Reconfigurable arrays of up to 448 neutral atoms are used to implement and combine the key elements of a universal, fault-tolerant quantum processing architecture and experimentally explore their underlying working mechanisms.

Precise control of electrons in two-dimensional materials has been limited by fabrication techniques for local gates that introduce disorder. Now, a technique allows patterning of sub-100 nm features and fabrication of very clean interfaces.

Reversible gates, like Fredkin gates, may be useful for energy conservation efforts. Cohen et al. present a formalism that may be used to produce any reversible logic. This method is implemented over an optical design of the Fredkin gate which utilizes only optical elements that inherently conserve energy.

There is a trade-off between achieving fast qubit control and preserving long qubit lifetimes. In this work, the authors demonstrate single qubit gates by driving a transmon qubit parametrically at 1/3 of its frequency, creating fast, high-fidelity gates while protecting the qubit lifetime and mitigating heating.

Initiation factor 2 (IF2) guides the ribosome to the elongation phase of protein synthesis. Here, Basu et al. provide structural insights into how compact IF2-GDP makes way for initiator tRNA accommodation into the peptidyl (P) site of the ribosome.

How and where somatosensory information is encoded in the cortex is unclear and important for developing new pain therapies. Here the authors show a crucial role for the secondary somatosensory cortex (S2) in accurate perception of sensory stimuli.

Dopamine is known to contribute to the amygdala-mediated aversive response, where increased dopamine release can augment amygdala function. Combining fMRI and PET imaging techniques, Kienast et al. present findings that suggest a functional link between anxiety temperament, dopamine storage capacity and emotional processing in the amygdala.

Typically, Boolean logic gates have to compromise between high speed and low energy consumption which can become limiting at scale. Here, the authors demonstrate architectures for NOT and XNOR gates that enable simultaneous low power and fast operation.

Biomaterials that respond to precise combinations of environmental cues represent an important technology for tissue engineering and next-generation drug delivery systems. Now, a modular framework to programme material degradation following Boolean logic has been demonstrated by specifying the molecular architecture and connectivity of orthogonal stimuli-labile moieties within hydrogel cross-linkers.

EGFR is a receptor that is upregulated in many cancers, but the mechanisms that control EGFR function are incompletely understood. Here the authors used single particle tracking to identify a role for tetraspanin CD81 in EGFR ligand binding, mobility, and signaling.

The central amygdala relies on inhibitory circuitry to encode fear memories, but how this information is acquired and expressed in these connections is unknown. Two new papers use a combination of cutting-edge technologies to reveal two distinct microcircuits within the central amygdala, one required for fear acquisition and the other critical for conditioned fear responses. Understanding this architecture provides a strong link between activity in a specific circuit and particular behavioural consequences.

Researchers describe a mechanism capable of compressing fast and intense X-ray pulses through the rapid loss of crystalline periodicity. It is hoped that this concept, combined with X-ray free-electron laser technology, will allow scientists to obtain structural information at atomic resolutions.

Although ABC-F proteins represent a ubiquitously distributed type of ATP-binding cassette (ABC) family member across phyla, their biological functions remain poorly characterized. A new study now shows that the bacterial ABC-F protein YjjK (EttA) gates ribosome entry into the translational cycle in an energy-dependent manner.

Cholera remains a significant public health burden in sub-Saharan Africa, but the mechanisms of continental and regional spread remain undefined. Here, the authors investigate recent patterns of spread using Vibrio cholerae genomic surveillance data collected by a consortium of seven African Union member states from 2019-2024.

An 11-qubit atom processor comprising two precision-placed nuclear spin registers of phosphorus in silicon is shown to achieve state-of-the-art Bell-state fidelities of up to 99.5%.

Typical quantum error correcting codes assign fixed roles to the underlying physical qubits. Now the performance benefits of alternative, dynamic error correction schemes have been demonstrated on a superconducting quantum processor.

Many viral vaccine antigen candidates are transmembrane glycoproteins, and their development requires methods which allow their biophysical characterization. Here authors present an optimized nanodisc assembly platform which provides reproducible, scalable, and accurate replication of the vaccine candidates for detailed analysis.

The formation of exciton crystals is challenging because excitons possess short lifetimes and exhibit weaker interactions than electrons. Now, an exciton Wigner crystal is observed in a moiré electron–hole bilayer.

Designing single molecules capable of complex sensing functions is challenging. Now, using crowdsourced RNA designs from the online game Eterna, compact single-molecule sensors have been demonstrated for a variety of tasks, including a complex three-input tuberculosis diagnostic. The development of a Monte Carlo Tree Search algorithm enabled automated design of similarly sophisticated nucleic-acid sensors.

A programmable quantum processor based on encoded logical qubits operating with up to 280 physical qubits is described, in which improvement of algorithmic performance using a variety of error-correction codes is enabled.

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.

In this alternative approach to quantum computation, the all-electrical operation of two qubits, each encoded in three physical solid-state spin qubits, realizes swap-based universal quantum logic in an extensible physical architecture.

Integrating an electronic device with a cavity can cause the electrons to couple to photons strongly enough to form hybrid modes. Now, the cavity effects induced by intrinsic graphite gates are shown to modify the low-energy properties of graphene.

Experimental measurements of high-order out-of-time-order correlators on a superconducting quantum processor show that these correlators remain highly sensitive to the quantum many-body dynamics in quantum computers at long timescales.

Quantum computers may help to solve classically intractable problems, such as simulating non-equilibrium dissipative quantum systems. The critical dynamics of a dissipative quantum model has now been probed on a trapped-ion quantum computer.

Estimates from the Global Burden of Disease study reveal declines in chronic respiratory disease mortality between 1990 and 2023—especially during the COVID-19 pandemic—but the burdens on people affected remain substantial.

Plasma p-tau217 tests used to develop clocks that predict when cognitively unimpaired individuals would develop symptoms of Alzheimerʼs disease.

Alternative splicing generates diverse protein isoforms, yet the functions of most exons remain unknown. Here, the authors introduce scCHyMErA-Seq, a scalable single-cell CRISPR exon-deletion platform that maps exon-specific transcriptional functions shaping gene expression and cell-cycle states.

Qubit-based simulations of gauge theories are challenging as gauge fields require high-dimensional encoding. Now a quantum electrodynamics model has been demonstrated using trapped-ion qudits, which encode information in multiple states of ions.

Quantum devices’ growth drives efforts to show their benefits. Here, the authors prove unconditionally that constant-depth quantum circuits surpass biased threshold circuits with neural network-like functions for all prime qudit dimensions, even with noise.

Fault-tolerant circuits for the control of a logical qubit encoded in 13 trapped ion qubits through a Bacon–Shor quantum error correction code are demonstrated.

Ranek et al. developed a computational method that analyzes proteomic imaging and detects differentially enriched cellular niches, including low-prevalence niches. They applied this tool to inform therapy response in triple-negative breast cancer.

DNA methylation and gene expression data integration identify aging-related genes in blood that predict health outcomes, offering new insights into aging biology and potential therapeutic targets.

Topological phases in quantum many-body systems emerge from long-range entanglement rather than symmetry breaking, giving rise to properties such as topology-dependent degeneracy, protected edge modes and anyonic excitations. This Review discusses recent advances on how to realize and study such interacting topological states on digital quantum computers.

The inability of intrinsically photosensitive retinal ganglion cells to shift the circadian clock in the suprachiasmatic nucleus during daytime is caused by light-dependent depolarization block of these cells.

WIN332 is an HIV-1 Env protein designed to elicit a new class of Asn332-glycan-independent antibodies (type II) to the V3-glycan site of Env. WIN332 immunization rapidly induces type-II V3-glycan antibodies with low inhibitory activity indicative of a neutralization activity in macaques.

A superconducting quantum computer is used to realize an out-of-equilibrium topologically ordered state, which hosts anyonic excitations.

Measurements of anyons moving through a quantum point contact allow the extraction of their tunnelling exponent. This fully characterizes their topological order and confirms that they are well described by the Luttinger liquid theory.

Checking the quality of operations of quantum computers in a reliable and scalable way is still an open challenge. Here, the authors show how to characterise multi-qubit operations in a way that scales favourably with the system’s size, and demonstrate it on a 10-qubit ion-trap device.

Quantum supremacy is demonstrated using a programmable superconducting processor known as Sycamore, taking approximately 200 seconds to sample one instance of a quantum circuit a million times, which would take a state-of-the-art supercomputer around ten thousand years to compute.

An anti-HIV-1 antibody that targets an N332_gp120 glycan-independent V3 epitope, a site of Env vulnerability, can decline viremia in HIV-1-infected humanized mice while overcoming classical V3 escape mutations.

Quantifying the effect of mutations on binding free energy is important to understand protein-protein interaction (PPI). Here the authors develop a method based on yeast display and next-generation sequencing to generate quantitative binding landscapes for any PPI regardless of their Kd value.