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Ensuring high-fidelity quantum gates while increasing the number of qubits poses a great challenge. Here the authors present a scalable strategy for optimizing frequency trajectories as a form of error mitigation on a 68-qubit superconducting quantum processor, demonstrating high single- and two-qubit gate fidelities.

Spin qubits are a platform for quantum computing. There are many advantages for quantum information processing if the spin qubit can move. Here, Helgers et al. use a surface acoustic wave to define a moving quantum dot and demonstrate the magneticfield-free control of the spin precession, bringing “flying” spin qubits a step closer.

Store-operated calcium entry involves two proteins: Stim1 and Orai1, but are they sufficient for gating CRAC channels or are other factors required? Mammal systems have failed to provide a conclusive answer but yeast-based assay does: Stim1 and Orai1 are the only essential components of CRAC channel activity.

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.

Tanycytic insulin receptors allow insulin access to the hypothalamic arcuate nucleus and are relevant for driving AgRP neuronal activity in response to feeding.

Schmidpeter and colleagues showed that anionic lipids bind to pacemaker ion channels and increase their activity by acting like keys that unlock salt bridges at the channel gates.

Global analysis of obesity trends from 1980 to 2024 in 200 countries and territories using data from 4,050 population-based studies reveals that framing obesity as a single global epidemic masks the highly varied dynamics across countries and age groups.

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.

Global Burden of Disease analysis found that in 2023, suboptimal diet was estimated to be responsible for 4 million deaths and 97 million morbidity burdens from ischemic heart disease.

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.

Magic state distillation is achieved with logical qubits on a neutral-atom quantum computer using a dynamically reconfigurable architecture for parallel quantum operations.

A mode-selective Raman quantum memory in warm caesium vapour enables super-resolved optical frequency estimation with a 34-fold precision enhancement beyond direct intensity measurements.

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.

Two-qubit operations exceeding 99% fidelity have been demonstrated by silicon devices made with standard semiconductor tooling in a 300-mm foundry environment.

Antibody mediated prevention (AMP) trials with the broadly neutralizing antibody VRC01 showed protection against VRC01-sensitive viruses. Here, by deep sequencing plasma samples from 172 participants of the AMP trials, the authors show a high frequency of multilineage HIV infections (38%), including coinfection with both sensitive and resistant viruses, and demonstrate that VRC01 doesn’t alter the transmission bottleneck.

Demonstrations of quantum advantage relying on sampling hard-to-compute probability distributions are plagued by difficulties in efficiently confirming the correctness of their output, which is known as the verification problem. Here, the authors use a trapped-ion platform to demonstrate efficient verification of quantum random sampling in measurement-based quantum computing.

Deterministic generation of photonic multi-partite entangled states has previously been achieved for specific states using ad-hoc devices. Here, the authors present a single superconducting circuit device to deterministically generate a variety of states, namely W, GHZ, and cluster states.

Chiral coupling between neighbouring magnetic domains is used in domain-wall racetracks to realize various all-electric logic operations by cascading the gates.

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.

Chronic care manages long-term, progressive conditions, while acute care handles short-term ones. Here, authors show chronic conditions account for most of the global health burden, with 68% of DALYs and 93% of YLDs attributed to chronic care needs.

Treatment-seeking for fever is widely used to estimate treatment of childhood infections, but cross-country comparisons are problematic. Here, the authors estimate the probability of seeking treatment for fever at public facilities across 29 countries by quantifying person-level latent variables.

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.

A nanoscale X-ray double-waveguide interferometer is developed to measure the phase shift due to the 14.4-keV nuclear resonance of the Mössbauer isotope ⁵⁷Fe. The phase shift is extracted from just a few single-photon interference measurements using Bayesian inference.

Finding solutions to the Boolean satisfiability problem (SAT) in computer science can be costly due to its computational complexity. Im and Böhm et al. propose a SAT solver accelerator architecture using in-memory computing hardware to achieve a  ~ 10 × speedup and a  ~ 1000 × gain in energy efficiency.

Silicon-based spin qubits are promising candidates for a scalable quantum computer. Here the authors demonstrate the violation of Bell’s inequality in gate-defined quantum dots in silicon, marking a significant advancement that showcases the maturity of this platform.

This Review discusses global approaches to infectious disease analysis and modeling, focusing on federated methods and addressing long-standing challenges in data interoperability, equity and trust.

Chemical controllers made from DNA can be programmed to implement any dynamic behaviour compatible with chemical kinetics.

Drug combinations are widely used in cancer therapy, including for acute myeloid leukaemia, but their mechanisms remain poorly understood. Here, the authors introduce CoPISA, a proteomics method that uncovers combination-specific protein targets and mechanisms beyond classical synergy.

Neuromorphic photonic systems can incur significant energy for moving and converting data between digital and analog domains. This work shows that integrating analog memory into these processors can save 26 × power over conventional digital-to-analog architectures while keeping  > 90% inference accuracy.

A study demonstrating increasing error suppression with larger surface code logical qubits, implemented on a superconducting quantum processor.

Two programmable riboregulator systems, based on toehold and three-way junction RNA motifs, were designed and validated as robust translational repressors in cells and applied for the construction of logic gates.

A hybrid analogue–digital quantum simulator is used to demonstrate beyond-classical performance in benchmarking experiments and to study thermalization phenomena in an XY quantum magnet, including the breakdown of Kibble–Zurek scaling predictions and signatures of the Kosterlitz–Thouless phase transition.

In this Resource, the authors present an open-source extensible benchmark tool, Benchpress, for evaluating the performance of mainstream quantum computing software. Benchpress was demonstrated to perform over 1,000 tests with up to 930 qubits to compare the performance of quantum software, providing insight into how to best use current programming stacks.

Highly sensitive, low-power, and chip-scale gas sensors are of great interest to both academia and industry. The authors developed a nanotransistor-based gas sensor with high sensitivity enabled by electron trapping effect in nanoparticles.

Saturation genome editing of RNU4-2 identifies the functional and clinical impact of variants across the entire gene and delineates variants that cause a new recessive neurodevelopmental disorder distinct from ReNU syndrome.

Physical realizations of qubits are often vulnerable to leakage errors, where the system ends up outside the basis used to store quantum information. A leakage removal protocol can suppress the impact of leakage on quantum error-correcting codes.

X-ray computed tomography is combined with burst ptychography and filtered back-propagation to achieve high-speed, three-dimensional imaging of features as small as 4 nm.

The authors prove that any pure entangled state of multiple quantum bits (qubits) can be uniquely identified using only measurement statistics, without trusting the devices, resolving a long-standing open problem in quantum certification.

The OCTCube models integrate optical coherence tomography and other imaging modalities to achieve state-of-the-art performance in predicting retinal diseases with strong generalizability across cohorts, devices and modalities.

The authors introduce a hybrid quantum-classical algorithm for photonic quantum computing that focuses on tackling continuous-variable optimization problems using fewer quantum operations than existing methods. The approach shows better performance and practical implementation potential, demonstrated on Xanadu’s quantum chip.

Analyses of epidemiological, clinical and molecular data from a prospective cohort of 3,100 patients with esophageal carcinoma suggest intestinal metaplasia as a single precancer pathway preceding the disease.

A modular multicellular system has been created by mixing and matching discrete engineered bacterial cells in an artificial neural network-type architecture. The system is capable of solving multiple computational decision problems like identifying a number as prime and a letter as a vowel.

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.

Investigating dynamics of polyatomic molecules is difficult as their potential energy surfaces are multidimensional due to coupled degrees of freedom. Here the authors demonstrate a spatial selective gating technique to probe the different vibrational modes of water upon core-level excitation with X-rays.

Wan et al. develop a deep loop profiling to uncover how sequence diversity in the complementarity-determining regions of single-domain antibodies shapes folding fitness, thereby enabling the design of more robust synthetic antibody libraries.

Insights into the vulnerabilities of HIV-1 reservoir clones to potent, sustained cytotoxic T cell pressure are revealed.