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Using quantum gas microscopy, Hilbert space fragmentation and fractonic excitations are observed in a two-dimensional tilted Bose–Hubbard model.

Qudits, higher-dimensional analogues of qubits, expand quantum state space for information processing using fewer physical units. Here the authors demonstrate control over a 16-dimensional Hilbert space, equivalent to four qubits, using combined electron-nuclear states of a single Sb donor atom in Si.

Graviton modes are long-wavelength neutral collective excitations of fractional quantum Hall fluids that are analogous to gravitons. Here the authors develop a microscopic theory of multiple graviton modes and show that they are associated with geometric fluctuations of hierarchical conformal Hilbert subspaces.

Many-body quantum systems that escape thermalization are promising candidates for quantum information applications. A weak-ergodicity-breaking mechanism—quantum scarring—has now been observed with superconducting qubits in unconstrained models.

A fully integrated semiconductor microlaser that exploits spin–orbit coupling of light emits in a four-dimensional Hilbert space, with flexible control of up to six degrees of freedom.

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

How aperiodic 1/f noise drives ripple activity in human brain and impacts on ripple detections is not fully understood. Here authors show that ripple detections should be driven by the 1/f noise, which indexes different brain states and cognitive demands.

The laws of quantum mechanics make it possible to design device-independent security protocols that do not need trusted equipment. Now, explicit protocols are provided that achieve the optimal rate of device-independent random number generation.

For some states in quantum gravity, notions of locality can deviate from effective field theory predictions. Here, the authors show that such deviations can be recast in the quantum information framework of “overlapping qubits”.

Scientists experimentally demonstrate a fully configurable photonic integrated signal processor based on an InP–InGaAs material system by controlling the injection currents to the active components.

Kornfeld-Sylla et al reveal how alpha brainwaves are altered in children and adults with Fragile X Syndrome (FXS) and find parallel changes in alpha-like rhythms in juvenile and adult FXS model mice, showing their use for testing potential therapies.

Ising anyons are a promising platform for topological quantum computation, but braiding alone is not universal. Here, authors show that extending to non-semi simple TQFTs introduces new anyon types that enable universal quantum computation with Ising anyons.

As quantum simulations advance, improving classical methods for modelling quantum systems remains crucial as they provide key benchmarks for quantum simulators. Here the authors present a scalable tensor-network algorithm for simulating open quantum systems, addressing key limitations of existing approaches.

Repeated rapid structural MRI scans substantially improve the precision of individual differences in brain change. This allowed for individualized insight into subtle differences in the detected rates of brain aging and neurodegeneration to be detected.

Quantum simulations of the phase diagram of quantum chromodynamics faces hard challenges, such as having to prepare mixed states and enforcing the non-Abelian gauge symmetry constraints. Here, the authors show how to solve the two above problems in a trapped-ion device using motional ancillae and charge-singlet measurements.

Due to the combinatorial scaling of configuration interaction methods, formally exact quantum chemistry results are only available for small systems. Here, the authors present an implementation using categorical compression, enabling efficient modeling of many electron systems.

While a quantum system is always disturbed by any observation, one can exploit the back action of measurements and strong couplings to tailor the system evolution via quantum Zeno dynamics. Schäfer et al. demonstrate quantum Zeno dynamics in a five-level Hilbert space using a ⁸⁷Rb Bose–Einstein condensate.

Simulating gauge theories is a central challenge for quantum computing in theoretical physics. The authors present a quantum algorithm for 2+1D lattice QED that extracts the static potential between charges across Coulomb, confinement and string-breaking regimes, visualizing electric fluxes and demonstrating accurate results from a trapped-ion device.

In this work, the authors propose and experimentally test a framework to analyse the fundamental limits of quantum detector tomography, i.e., the limits to extractable information from probing unknown quantum measurements. They introduce the detector quantum Fisher information, which physically connects measurement structure to quantum advantage, complementing previously known state and channel metrics.

Differential isoform usage is identified with high statistical power from spatial transcriptomics data.

This study of magic-angle twisted trilayer graphene moiré superconductors using scanning tunnelling microscopy and spectroscopy identifies two energy gaps that develop from many-body resonance in this highly tunable class of materials.

Finding a classical description of a quantum state can require resource-intensive tomography protocols. It has now been shown that, for bosonic systems, tomography is extremely inefficient in general, but can be done efficiently for some useful states.

Neural quantum states can accurately approximate ground-state wavefunctions but dependence on the single-particle basis and limited physical interpretability remain key challenges. Here the authors combine neural quantum states with effective theories to enhance interpretability and efficiency, while quantifying how well theories describe quantum systems.

Here, the authors show that brain dynamics mature from childhood to adulthood with increased hierarchical propagation and reduced visual-somatomotor dynamics. Top-down hierarchical flow strengthens throughout this developmental period.

The existence of a long-lived, prethermal regime in many-body systems with tunable heating rates, driven by structured random protocols, is observed using a 78-qubit superconducting quantum processor.

Resonant inelastic X-ray scattering interferometry reveals a highly entangled electronic phase in Nd₂Ir₂O₇, enabling extraction of its entanglement structure and confirming the cubic-symmetry-breaking order predicted from complementary Raman spectroscopy.

A dual-branch framework that disentangles cell states from drug-induced regulatory shifts to predict transcriptional responses is presented. It captures nonlinear dose–time dynamics and excels in generalizing to unseen cellular contexts.

Open quantum systems are subject to dephasing that ultimately destroys the information they hold. Here, the authors use a superconducting qubit to show that dephasing also has a geometric origin, which can either reduce or restore coherence depending on the path of the quantum system in its Hilbert space.

Quantum theory can describe scenarios with an indefinite causal order, but whether such processes could be witnessed in real scenarios by violating causal inequalities is still subject to debate. Here, the authors give an affirmative answer, showing that noncausal processes admit a description using the framework of time-delocalised subsystems.

In this work, an exotic nuclear decay in one dimension is simulated using IonQ trapped-ion quantum computers. The coherent evolution of many decay channels is classically hard and quantum simulation of these processes may impact future searches for new physics.

In statistical physics, systems usually become disordered at high temperatures, but some exhibit entropic order when heated, where one type of ordering enables greater fluctuations in another. Here the authors show how this type of order can persist to arbitrarily high temperature in simple classical and quantum many-body models.

Neural network representations of quantum states are hoped to provide an efficient basis for numerical methods without the need for case-by-case trial wave functions. Here the authors show that limited generalization capacity of such representations is responsible for convergence problems for frustrated systems.

Ergodicity can be strongly broken by integrable or many-body localized systems. A new form of weak ergodicity breaking is shown to arise from the presence of special eigenstates in the many-body spectrum akin to quantum scars in chaotic systems.

The mathematical structure of quantum measurements and the Born rule are usually imposed as axioms; here, the authors show instead that they are the only possible measurement postulates, if we require that arbitrary partitioning of systems does not change the theory’s predictions.

Synthetic biology aims to engineer or re-engineer living systems to achieve increasingly complex functionalities. Here the authors propose oscillator-based circuit designs and use modelling to predict a wide range of distinct dynamic behaviors.

High dimensional quantum key distribution (QKD) systems will allow for higher key generation rate, but with added complexity for creating and detecting high dimensional quantum states. The authors demonstrate a QKD protocol using “qubit-like” qudit states, “F-qubits”, with simpler generation and detection, maintaining the benefits of high dimensional QKD protocols.

Frequencies for motor kinematics are encoded by the cerebellum through population tuning of firing probabilities, which leads to cerebellar oscillations and corresponding motions.

The spectral gap problem—whether the Hamiltonian of a quantum many-body problem is gapped or gapless—is rigorously proved to be undecidable; there exists no algorithm to determine whether an arbitrary quantum many-body model is gapped or gapless, and there exist models for which the presence or absence of a spectral gap is independent of the axioms of mathematics.

Development of the Late Cenozoic Ice Age and Late Paleozoic Ice Age follows a comparable climate trajectory, involving secular trends superimposed with multiple astronomically forced climate-carbon cycles and transient climatic events.