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Strongly enhanced optical nonlinearities and an ultrafast transition from coherent to incoherent polariton excitations are demonstrated by coupling an atomically thin WS₂ layer to a plasmonic nanostructure using ultrafast multidimensional spectroscopy.

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.

Characterisation of quantum operations is fundamental in quantum technologies - quantum computing in particular - but there’s currently no reliably efficient method to assess mid-circuit measurements, which are a key component for subfields like quantum error correction. Here, the authors fill this gap, integrating MCMs into the framework of randomized benchmarking.

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.

Error mitigation has helped improve the performance of current quantum computing devices. Now, a mathematical analysis of the technique suggests its benefits may not extend to larger systems.

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.

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.

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.

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

Non-stoquastic Hamiltonians are known to be hard to simulate due to the infamous sign problem. Here, the authors study the computational complexity of transforming such Hamiltonians into stoquastic ones and prove that the task is NP-complete even for the simplest class of transformations.

Hole spin qubits benefit from large spin-orbit interaction for efficient manipulation, but this can result in qubit variability. Here the authors study anisotropies in microwave-driven singlet-triplet qubits in planar germanium, revealing two distinct operating regimes due to different quantization axes alignments.

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

Scaling Si spin qubits relies on the uniform control of qubit-host interactions. This work finds correlations in qubit energy levels across a manufactured device arising from placement of Ge in the quantum well, consistent with atomistic modeling.

Here, the authors demonstrate the electrical tunability of the nonlinear interactions, ultrafast formation and decay dynamics of layer-hybridized excitons in a field-effect device based on natural homobilayer MoS₂.

The study reveals strikingly different nonlinear Rabi splitting dynamics in MoSe₂ monolayers and (Ga,In)As quantum wells, highlighting the pivotal role of Coulomb interactions in shaping light–matter coupling in two-dimensional semiconductors.

The study combines bulk, single-cell, and spatial transcriptomics of human carotid plaques. It identifies immune– stromal cell diversity, spatial macrophage gradients, smooth muscle cell heterogeneity, and morphology-defined plaque subtypes.

Chemical few-body reactions at ultralow temperatures exhibit scaling laws which are directly linked to the nature of the involved particles and their interactions. Here, the authors investigate the kinetics of four-body collision processes where diatomic molecules which are composed of ultracold fermionic atoms are either formed or dissociated.

This study explores the use of quantum computing to address multi-objective optimization challenges. By using a low-depth quantum approximate optimization algorithm to approximate the optimal Pareto front of multi-objective weighted max-cut problems, the authors demonstrate promising results—both in simulation and on IBM Quantum hardware—surpassing classical approaches.

Understanding molecule-surface interactions is key to neat on-surface synthesis of functional nanomaterials. Here, the authors measure interactions of metal surface atoms with CO-terminated tips to reveal their nature and reliable adsorption sites.

Quantum communications operate with shared multipartite entangled states, and this has to be certified in a setting where not all parties are trusted in the same way. Here the authors propose a method to certify multipartite entanglement in asymmetric scenarios and demonstrate it in an optical experiment.

Parallel operation of two exchange-only qubits consisting of six quantum dots arranged linearly is shown to be achievable and maintains qubit control quality compared with sequential operation, with potential for use in scaled quantum computing.

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.

Artificial photonic graphene, a honeycomb array of evanescently coupled waveguides, has proven to be a useful tool for investigating graphene physics in various optical settings. Here, Song et al.demonstrate pseudospin-mediated vortex generation and topological charge flipping in otherwise uniform optical beams.

It is an old adage in quantum physics that the observation of a system changes its properties, as exemplified by the quantum Zeno effect. Now, Burgarth et al.show that such repeated measurement of a quantum system actually enriches its dynamics, letting it explore a much larger algebra than it did before.

Repetition codes running many cycles of quantum error correction achieve exponential suppression of errors with increasing numbers of qubits.

The study finds coherent spin waves, generated by ultrafast laser pulses, drive antiferromagnetic domain walls (DWs) in Sr₂Cu₃O₄Cl₂ at a record  ~50 km/s. DW propagation direction is controllable via laser helicity and DW winding number, explained by in-plane magnon mode-induced dynamics unique to easy-plane anisotropy magnets.

Three-dimensional laser-written waveguide arrays are used to demonstrate type-II Weyl points, along with Fermi arc-like surface states, for light at optical wavelengths.

Spin liquids are predicted to emerge in materials that combine strong electronic correlations with geometric frustration. Evidence has now been found for a spin liquid state in the triangular-lattice material NaRuO₂.

Through next-generation spectral analysis, scientists have uncovered an evolutionary path for Wolf–Rayet stars in metal-poor environments. Characterized by hard ionizing radiation, these stars challenge current assumptions about massive star evolution.

Achieving high conductivity in metal-organic solids can be challenging, due to the difficulty of obtaining a good overlap between the d-orbitals of the metal and the π-orbitals of the organic molecule. Here, the authors present two coordination solids, VCl₂(pyrazine)₂ and TiCl₂(pyrazine)₂, with remarkably different electrical conductivity. While the former is an insulator, the latter displays the highest conductivity of any octahedrally coordinated metal ions based metal-organic solid.

Analogue quantum simulation has looser experimental requirements than its digital counterpart, but rigorous theoretical results on the capabilities of realisable experiments are scarce. Here, the authors fill this gap by proposing an alternative mathematical framework, and showing how to overcome barriers to scalable implementations using additional resources such as engineered dissipation.

Altermagnetic materials have zero magnetization, like collinear antiferromagnets, however, due to the underlying crystal and spin symmetry, have spin-split Fermi surfaces. This combination grants them significant technological potential. Here, Yu, Suh, Roig and Agterberg propose a mechanism for stabilizing altermagnetism in two dimensions.

A singlet-triplet spin qubit using holes in a Ge quantum well is demonstrated, and can be operated at low magnetic fields of a few millitesla.

A successful silicon spin qubit design should be rapidly scalable by benefiting from industrial transistor technology. This investigation of exchange interactions between two FinFET qubits provides a guide to implementing two-qubit gates for hole spins.

The alternating sector chain Ising problem features an exponentially small energy gap in the sector size, so one would expect an exponential decrease in success probability on a quantum annealing device. Here, instead, the authors show a nonmonotonic behavior, explaining it in terms of thermally accessible states.

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.

The origin of the covalent H–H bond is understood to be driven by kinetic energy lowering. Here the authors show this is not the case for bonds between heavier elements likely due to the presence of core electrons, and that constructive quantum interference instead drives bond formation.

Experimentally verifying that quantum states are indeed entangled is not always straightforward. With the recently proposed device-independent entanglement witnesses, genuine multiparticle entanglement of six ions has now been demonstrated.

The study of excited triplet states in molecular systems is in some cases hindered by the difficulty in accessing them and the intense signals of singlet states. Here, the authors show that the combination of polarized light and molecular alignment can enhance the triplet absorption for sulphur dioxide.

Using the valley degree of freedom in analogy to spin to encode qubits could be advantageous as many of the known decoherence mechanisms do not apply. Now long relaxation times are demonstrated for valley qubits in bilayer graphene quantum dots.

Two below-threshold surface code memories on superconducting processors markedly reduce logical error rates, achieving high efficiency and real-time decoding, indicating potential for practical large-scale fault-tolerant quantum algorithms.