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Two-dimensional perovskites enable high efficiency in perovskite photovoltaics but compromise operational stability. Yaghoobi Nia et al. form two-dimensional perovskite co-crystals with neutral templating molecules, improving the stability of perovskite solar modules.

Superconducting circuits may be useful as quantum simulators, but new tools are needed to fully characterize their behaviour. Shankset al.present a scanning transmon qubit, map its coupling strength to a separate resonator, and propose its use to probe photon number in a superconducting resonator lattice.

Future quantum computers will employ error correction to protect quantum data from decoherence and faulty hardware. Here, using a quantum processor with five superconducting qubits, the authors demonstrate how to protect one logical qubit from bitflip errors using multi-qubit, stabilizer measurements.

The mechanisms underlying gut microbial metabolite (GMM) contribution towards alcohol-mediated cardiovascular disease (CVD) are unknown. Herein, the authors reveal that alcohol-induced microbial reorganization and resultant elevation in GMM phenylacetylglutamine, directly contributes to CVD.

Superconducting circuits are promising for quantum computing, but quasiparticle tunnelling across Josephson junctions introduces qubit decoherence. Ristè et al. convert a transmon qubit into its own real-time quasiparticle tunnelling detector and accurately measure induced decoherence in the millisecond range.

Quantum entanglement is a key resource for technologies such as quantum communication and computation. A major question for solid-state quantum information processing is whether an engineered system can display the three-qubit entanglement necessary for quantum error correction. A positive answer to this question is now provided. A circuit quantum electrodynamics device has been used to demonstrate deterministic production of three-qubit entangled states and the first step of basic quantum error correction.

Large-scale quantum computers will manipulate quantum information encoded in error-corrected logical qubits. A complete set of operations has now been realized on a logical qubit with error detection.

A time-resolved, continuous parity measurement of two superconducting qubits in a three-dimensional circuit quantum electrodynamics architecture is reported; by further implementing feedback control, entanglement is generated ‘on demand’.

The individual roles of default network regions in social thinking remain unclear. Using electrocorticography, the authors show a spatiotemporal hierarchy of neurocognitive specialization across temporoparietal and prefrontal default network regions.

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.

Single-cell transcriptomic and proteomic data from synovial tissue from individuals with rheumatoid arthritis classify patients into groups based on abundance of cell states that can provide insights into pathology and predict individual treatment responses.

A transmon qubit insensitive to magnetic fields is a crucial element in topological quantum computing. Here, Kroll et al. create graphene transmons by integrating monolayer graphene Josephson junctions into microwave frequency superconducting circuits, allowing them to operate in a parallel magnetic field of 1 T.

Quantum computers, which harness the superposition and entanglement of physical states, hold great promise for the future. Here, the demonstration of a two-qubit superconducting processor and the implementation of quantum algorithms, represents an important step in quantum computing.

A study finds that a protease called granzyme K can activate the entire complement cascade, explaining how it can drive destructive inflammation in inflammatory diseases such as rheumatoid arthritis.

Molecular strategies are developed to safeguard the use of CRISPR-Cas9 gene drive technology.

This study shows that the amount of linearly decodable information for categorical-orthogonal object tasks (for example, position, scale, pose, perimeter and aspect ratio) increases up the ventral visual hierarchy, ultimately matching human levels in inferior temporal cortex. It also provides a computational model that explains how this pattern of information arises.

HER2+ breast cancer patients can often develop resistance to trastuzumab and therefore potential combination therapies need to be explored. Here, the authors report the results of a multi-center randomized phase II clinical trial evaluating the pathological and molecular responses associated with trastuzumab and/or lapatinib in combination with chemotherapy in HER2+ breast cancer patients.

Realising deep-strong coupling phenomena for interacting light-matter systems remains an experimental challenge. Here, Langford et al. employ a circuit quantum electrodynamics chip with moderate coupling between a resonator and transmon qubit to realise digital quantum simulation of deep-strong coupling dynamics.

Fibroblasts play critical roles in tissue homeostasis, but in pathologic states they can drive fibrosis, inflammation, and tissue destruction. Here, Faust et al. find that healthy human synovial fibroblasts under the influence of adjacent adipocytes have altered lipid metabolism driven by cortisol signaling. Both adipocytes and these characteristics are lost in inflammatory arthritis.

Insufficient AHR activation has been suggested in SLE, and augmenting AHR activation therapeutically may prevent CXCL13⁺ T_PH/T_FH differentiation and the subsequent recruitment of B cells and formation of lymphoid aggregates in inflamed tissues.

A controlled-controlled NOT, or Toffoli, gate is used to develop a fast, high-fidelity, three-qubit error correction protocol with the potential to correct arbitrary single-qubit errors.

Coupling semiconductor spin qubits over long distances using a superconducting resonator makes different quantum architectures possible. Now, the coherent swapping of quantum states has been observed between qubits coupled using this design.

Quantum non-demolition (QND) measurements interrogate a quantum state without disturbing it. A QND scheme that uses a superconducting circuit to investigate microwave photons trapped in a cavity is now shown. The measurement answers the question: are there exactly N photons in the cavity?

SCENT is a nonparametric method that models association between chromatin accessibility and gene expression in single-cell multimodal datasets, enabling construction of cell-type-specific enhancer–gene maps to aid mapping of candidate causal variants and genes for common diseases.

Activated B cells and T cells accumulate within joints of patients with rheumatoid arthritis. Here, the authors use single-cell transcriptome and repertoire profiling to identify clonally expanded synovial B cells and T cells and define their phenotypes and predicted cell-cell interactions.

The epigenetic changes underlying the heterogeneity of RA disease presentation have been the subject of intense scrutiny. In this study, the authors use multiple single-cell sequencing datasets to define ‘chromatin superstates’ in patients with RA, which associate with distinct transcription factors and disease phenotypes.

Yeast central carbon metabolism has been engineered to achieve a more efficient isoprenoid biosynthesis pathway, an advance that brings commodity-scale production of such compounds a step closer.

NOTCH3 signalling is shown to be the underlying driver of the differentiation and expansion of a subset of synovial fibroblasts implicated in the pathogenesis of rheumatoid arthritis.

A microtechnology involving force sensors embedded in elastomers for cell culture enables the high-throughput measurement of single-cell force generation from contractile cells in a scalable and highly parallelized manner.

scHLApers is an analysis pipeline that quantifies single-cell expression of HLA genes using a personalized genomic reference. Mapping of HLA expression quantitative trait loci at single-cell resolution identifies dynamic effects across cell states.

Defining cell types and their activation status in rheumatoid arthritis (RA) is critical to understanding this disease. Raychaudhuri and colleagues leverage several single-cell -omics approaches to define the cellular processes and pathways in the human RA joint.

The electron spin in a silicon-based quantum dot can be controlled electrically for as long as several tens of microseconds, which improves the prospects for quantum information processing based on this type of quantum dot.

Quantum measurements affect the state of the system, so they can be used both as probe and control knob. This idea is demonstrated in an experiment with nuclear spin qubits in diamond that are manipulated by measurements alone.