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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.

Multielectron quantum dots offer a promising platform for high-performance spin qubits; however, previous demonstrations have been limited to single-qubit operation. Here, the authors report a universal gate set and two-qubit Bell state tomography in a high-occupancy double quantum dot in silicon.

A violation of Bell's inequality, which is a direct proof of entanglement, can be observed in the solid state using the electron and nuclear spins of a single phosphorus atom in silicon.

Entangled particles some distance apart can be used to show the strikingly nonlocal nature of quantum mechanics. Here the authors generate spatially separated pairs of helium atoms by colliding Bose-Einstein condensates and show that they are entangled by observing nonlocal correlations.

Future quantum networks will require entangled photons operating in the telecommunications band, so they can integrate with existing architectures. Ward et al.present a quantum-dot-entangled-photon-pair source in this region and a method to measure the fidelity of a time-evolving Bell state.

High-resolution 3D printing technology making use of two-photon polymerization instead of traditional machining is described, allowing low-cost and scalable production of large arrays of high-quality 3D Paul traps.

Untrustworthy sources or detectors mean that quantum entanglement cannot always be ensured, but quantum steering inequalities can verify its presence. Using a highly efficient system, Smithet al. are able to close the detection loophole and clearly demonstrate steering between two parties.

Recent advancements have enabled quantum control and measurement of mechanical resonators. Here the authors demonstrate quantum entanglement between two mechanical resonators on separate substrates by sharing one and two quanta of energy, followed by quantum measurement of these entangled states.

An analysis of 24,202 critical cases of COVID-19 identifies potentially druggable targets in inflammatory signalling (JAK1), monocyte–macrophage activation and endothelial permeability (PDE4A), immunometabolism (SLC2A5 and AK5), and host factors required for viral entry and replication (TMPRSS2 and RAB2A).

Military personnel face increased exposure to pandemic-related stressors, yet their mental health impacts remain underexplored. Here, the authors analyze data from the STARRS Longitudinal Study, revealing significant increases in mental health issues among soldiers during COVID-19, particularly among vulnerable groups, underscoring the need for targeted support during pandemics.

Natural products and their synthesis have always fascinated organic chemists, frequently providing the inspiration and testing ground for new synthetic methods. This Review considers examples of natural products that were prepared first synthetically and predicted to be natural products prior to their isolation from nature.

The authors report a meta-analysis of methylome-wide association studies, identifying 15 significant CpG sites linked to major depression, revealing associations with inflammatory markers and suggesting potential causal relationships through Mendelian randomization analysis.

Entanglement between photons is easily destroyed by losses in optical systems as light propagates through it. For entanglement of orbital angular momentum, McLaren et al.show that losses caused by obstructions in the beam path can be overcome if measurements are made in the Bessel basis.

A study showing high-quality container-based sanitation servicing improves the sanitation-related quality of life in informal settlements across Kenya, Peru and South Africa.

Low-loss superconducting aluminium cables and on-chip impedance transformers can be used to link qubit modules and create superconducting quantum computing networks with high-fidelity intermodule state transfer.

High-fidelity deterministic quantum state transfer and multi-qubit entanglement are demonstrated in a quantum network comprising two superconducting quantum nodes one metre apart, with each node including three interconnected qubits.

Automated pathotyping of synovial tissue in arthritis is a major unmet need. Here, the authors develop and demonstrate the efficacy of an automated tissue and cellular pathotyping tool for inflammatory arthritis.

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.

A global network of researchers was formed to investigate the role of human genetics in SARS-CoV-2 infection and COVID-19 severity; this paper reports 13 genome-wide significant loci and potentially actionable mechanisms in response to infection.

Donors spins in silicon are coherent, high-performance qubits, but scale-up has been challenging. Here the authors present the first experimental demonstration of exchange-based, entangling two qubit gates between electrons bound to ³¹P donors in Si.

Free energy calculations are an essential tool to identify targets for individual proteins. Here, authors describe free energy perturbation (FEP+) calculations to optimise on target and off-target potencies for the discovery of potent Wee1 inhibitors with kinome-wide selectivity.

The deep ocean is increasingly subjected to human-induced environmental change, but little is known about species-specific responses to stressors, including those from deep sea mining. This study shows that elevated temperatures and simulated sediment plumes cause physiological stress in a cosmopolitan deep-sea jellyfish, confirming the detrimental impact of seabed mining.

Whole-genome sequencing, transcriptome-wide association and fine-mapping analyses in over 7,000 individuals with critical COVID-19 are used to identify 16 independent variants that are associated with severe illness in COVID-19.

Andrew Robinson reviews five of the week’s best science picks.

2D semiconductors are attracting attention as a potential alternative for post-silicon electronics, but the fabrication of high-performance 2D p-type transistors remains a challenge. Here, the authors report the realization of bilayer WSe₂ p-type transistor arrays with on-state currents up to 421 μA/μm, on/off ratios exceeding 10⁷ and subthreshold swings as low as 75 mV/decade.

Universal quantum logic operations with fidelity exceeding 99%, approaching the threshold of fault tolerance, are realized in a scalable silicon device comprising an electron and two phosphorus nuclei, and a fidelity of 92.5% is obtained for a three-qubit entangled state.

Here, Brotherton and colleagues sequence 39 mitochondrial genomes from ancient human remains. They track population changes across Central Europe and find that the foundations of the European mitochondrial DNA pool were formed during the Neolithic rather than the post-glacial period.

The herpes zoster vaccine live was approved in New Zealand in 2018 for use in older adults. This self-controlled case-series study uses whole-country electronic health record data to assess the risk of serious adverse events associated with the vaccine, with results supporting its safety.

Being able to perform qubit measurements within a quantum circuit and adapt to their outcome broadens the power of quantum computers. These mid-circuit measurements have now been used to implement a cryptographic proof of non-classical behaviour.

The flagship paper of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium describes the generation of the integrative analyses of 2,658 cancer whole genomes and their matching normal tissues across 38 tumour types, the structures for international data sharing and standardized analyses, and the main scientific findings from across the consortium studies.

With the generation of large pan-cancer whole-exome and whole-genome sequencing projects, a question remains about how comparable these datasets are. Here, using The Cancer Genome Atlas samples analysed as part of the Pan-Cancer Analysis of Whole Genomes project, the authors explore the concordance of mutations called by whole exome sequencing and whole genome sequencing techniques.

Using well-calibrated statistical methods the authors jointly analyze Undiagnosed Diseases Network genomes, identifying known and novel disease genes. Software is publicly available to support future cross-cohort rare disease discovery efforts.

Acyl-CoA synthetase long-chain family 4 (ACSL4)-driven changes in lipid metabolism are shown to modulate the sensitivity of intestinal epithelial cells to ferroptosis, thereby exacerbating inflammatory bowel disease.

Chronic infection with SARS-CoV-2 leads to the emergence of viral variants that show reduced susceptibility to neutralizing antibodies in an immunosuppressed individual treated with convalescent plasma.

A general approach to simplifying quantum logic circuits—the ‘programs’ of quantum computers—is described and demonstrated on a platform based on photonic qubits.

There’s an emerging body of evidence to show how biological sex impacts cancer incidence, treatment and underlying biology. Here, using a large pan-cancer dataset, the authors further highlight how sex differences shape the cancer genome.

Analyses of 2,658 whole genomes across 38 types of cancer identify the contribution of non-coding point mutations and structural variants to driving cancer.

In somatic cells the mechanisms maintaining the chromosome ends are normally inactivated; however, cancer cells can re-activate these pathways to support continuous growth. Here, the authors characterize the telomeric landscapes across tumour types and identify genomic alterations associated with different telomere maintenance mechanisms.

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.

A pan-cancer genomic analysis reports the effects of structural variations on chromatin domains (TADs). Most TAD disruptions do not result in appreciable changes in expression of nearby genes.

An analysis of 2,954 genomes from 38 cancer subtypes identified 19,166 retrotransposition events in 35% of samples. Aberrant LINE-1 retrotranspositions can lead to the deletion of tumor-suppressor genes as well as the amplification of oncogenes.

Some cancer patients first present with metastases where the location of the primary is unidentified; these are difficult to treat. In this study, using machine learning, the authors develop a method to determine the tissue of origin of a cancer based on whole sequencing data.