A new technique using diamond NV centers detects time-reversal symmetry breaking in 2D materials by comparing spin relaxation due to opposite circular magnetic polarizations, enabling nanoscale probes of Hall conductivity and other chiral quantum effects.

Many quantum algorithms naturally detect and tolerate qubit loss. Combining them with a delayed-erasure decoding method that corrects missing qubits offers a simpler path toward scalable, fault-tolerant quantum computing.

Active filaments collect nearby particles through sweeping motions driven by body bending. The size of the resulting clusters follows a simple geometric rule set by filament length and flexibility that unifies living, robotic, and simulated systems.

Dissipative algorithms offer an efficient and robust route to preparing ground states of complex quantum systems.

A theoretical work on twisted bilayer tungsten diselenide reveals how tuning the electron bandwidth drives a complex sequence of electronic phases, including Mott insulator, pseudogap states, and strange metal.

Nonlinear x-ray diffraction is used to isolate the valence electron density in silicon, demonstrating a powerful imaging technique useful across a range of complex materials.

Atomic force microscope observations of dividing human cells suggest that effective temperature alone cannot reliably gauge how far a living system is from equilibrium.

A theoretical framework simultaneously captures quasiparticle breakdown and conservation laws, achieving high accuracy in modeling electron transport in materials with strong electron-phonon interactions.

This scanning tunneling microscopy study of kagome flat bands in Fe-doped CoSn identifies orbital-selective Mott states and nematic order, revealing how geometric frustration and Coulomb interactions drive exotic quantum phases.

The notion of statistics is generalized from particles to loops and membranes using Berry phases of microscopic unitary processes on lattices.

A systematic framework is developed to identify and categorize three distinct mechanisms of drive-induced unwanted state transitions in superconducting circuits, enabling predictable mitigation of errors to advance high-fidelity quantum operations.

Bridging language model architectures and graph-theory-based molecular fragmentation achieves a sub-kilocalorie-per-mole-accurate potential energy surface for a 186-dimensional water cluster.

A combined high-resolution x-ray scattering and theoretical study of trilayer nickelate superconductors reveals an intertwined charge and spin order driven by the spin degree of freedom, challenging existing paradigms that emphasized the role of the lattice.

Mechanical bandgap tuning of GaN presents a flexible alternative to chemical doping.

Twisted rhombohedral trilayer graphene hosts programmable quantum anomalous Hall insulators, enabling electrical switching between topological states with integer Chern numbers at both integer and fractional moiré fillings.

A framework is introduced to power universal quantum computation with internal quantum batteries, reducing heat load and wiring overhead to potentially increase qubit density fourfold.

Topological quantization of artificial magnetic flux at lattice defects in gapless crystals provides a measurable mechanism for generating electrical currents and observing new topological invariants.

An analysis of photoemission and scanning tunneling microscopy data reveals a possible novel type of electron fractionalization in cuprates based on a unified theoretical framework to address the unresolved mechanism of high-temperature superconductivity.

Research provides a class of exactly solvable lattice models to describe a diverse array of 2 + 1D fermionic symmetry-enriched topological phases, including those featuring the important ’t Hooft anomaly.

By encoding the Haldane model in the optical modes of a frequency comb, a photonic Chern insulator is realized that exhibits a driven-dissipative analogue of quantized Hall conductance.

Magnetic fields are demonstrated to be able to be used to switch hidden electronic orders on and off in rare-earth magnets, uncovering a mechanism where field application induces rather than suppresses these elusive states

A study of the Yang-Lee universality class of critical phenomena, which arise in the Ising model with an imaginary magnetic field, finds broad agreement between 𝒫𝒯-symmetric Hamiltonians and conformal field theory.

A model that predicts charging for different types of small particle collisions enables realistic simulations of electrostatic effects.

A monitored fluctuating hydrodynamics framework is introduced to study what can be learned about classical many-body dynamics from partial data. It is found that classical stochastic processes undergo phase transitions in learnability, mirroring striking effects in quantum systems.

A field-programmable-gate-array-based Bayesian protocol is developed to track qubit relaxation fluctuations in real time, revealing environmental noise dynamics 10 000 times faster than previously reported.

Direct imaging of electron scattering from atomic defects in a tin monatomic layer provides a clear microscopic signature of chiral superconductivity.

A rigorous framework is established to define and classify lattice anomalies, revealing unique “IR-trivial” invariants that constrain the physics of many-body-localized systems and more beyond the reach of standard field theories.

A quantum control Hamiltonian is developed that can blur or even reverse the perceived arrow of time in monitored systems, enabling new ways to emulate backward-in-time dynamics and extract energy to power measurement-driven engines.

Magnetoresistance oscillations in nanofabricated nickelate networks reveal the existence of 2$e$ Cooper pairing and exotic bosonic phases, clarifying the nature of superconductivity in these high-temperature materials.

A scalable benchmarking framework using cycle error reconstruction is demonstrated to precisely identify and predict physical errors in a 14-qubit transversal ᴄɴᴏᴛ, enabling a clearer path to fault-tolerant quantum computing.

The transport measurements on Bi${}_4$Br${}_4$ single crystals here reveal the presence of 1D ballistic hinge states, confirming its status as a second-order topological insulator with exceptionally long phase coherence.

Four-photon dissipation in superconducting circuits moves quantum hardware toward stronger error protection.

Researchers prove that the dynamics of complex quantum operators has a universal random matrix description, enabling a new “spectral bootstrap” algorithm to accurately calculate physical properties like conductivities.

Patterning holes into magnetic thin films enables the emulation of electrons in 2D quantum materials and the precise control of magnon transport through topological band engineering.

A tailored algorithm allows for the simulation of molecular liquids near the experimental glass transition.

Mapping a one-dimensional quasicrystal to a two-dimensional quantum Hall system allows for the study of light-induced metal-insulator transitions, revealing an exotic multifractal phase stabilized by elliptically polarized driving.

Conformal field theory is used to uncover universal behaviors in nonstabilizerness. Like entanglement, this resource is governed by fundamental numbers such as the $g$ factor.

Self-bound many-particle objects (solitons) in topological pumps exhibit transitions between integer and fractional transport phases, controlled by interaction strength.

Electric-field-tunable Landau-level orbital composition in bilayer graphene provides a mechanism for stabilizing electron crystals and driving transitions into exotic topological liquid states.

A new many-body thermalization model is derived using KMS detailed balance that avoids the rotating wave approximation, enabling more accurate tracking of quantum dynamics and efficient simulation on quantum computers.

Researchers use flow renormalization to reveal that rare, sudden events called instantons puncture frozen states blocking the dynamics in periodically driven systems, triggering slow thermalization.

The concept of hyperuniform particle arrangements is generalized to treat particles with internal degrees of freedom.

Characterization of the one-body density matrix provides a direct measure of the localization length, revealing how interactions can suppress or enhance insulating behavior in disordered quantum systems.

Atomic-scale imaging and theory show Se site preference in Bi${}_2$Te${}_3$ tunes the bonding and band gap, enabling intrinsic control of thermoelectric performance.

A quantitative study of simulated annealing in random $K$-satisfiability and $q$-coloring problems reveals that algorithmic thresholds in combinatorial optimization are heavily dependent on the time scaling relative to system size.

By breaking translational symmetry, topological constraints together with heterogeneous fluctuations can induce persistent directional motion in dense polymer systems, providing a deeper understanding of living chromatin dynamics.

An experimental protocol for fabricating and characterizing microarchitected materials overcomes prior limitations.

Disorder-induced side-jump effects, often neglected, are proven to be a crucial contributor to the thermal Hall conductivity in insulating quantum materials.

Constrained magnetic-moment simulations provide a stable and efficient framework for modeling coupled spin-lattice dynamics, enabling precise predictions of subgap optical responses in magnetic insulators.

Superlubric graphite-MoS${}_2$ contacts are constructed to demonstrate the isolation and control of electronic friction, showing a path toward on-demand tuning of energy dissipation in microscale devices.

Combining ultrafast x-ray measurements with a theoretical model allows for tracking bond breaking, molecular motion, and chemical reactions.

Ultracold YbCr molecules, featuring large internal electric fields and an ideal rotational structure controllable with modest laboratory fields, are proposed as a sensitive platform for probing physics beyond the standard model.

Thickness-dependent studies of CeSi${}_2$ films reveal that the transition from three to two dimensions suppresses crystal electric field excitations and reduces the effective Kondo energy in heavy-fermion systems.

Researchers develop topological stabilizer codes that leverage infinite-dimensional local degrees of freedom. These codes realize quantum phases with universal properties that go beyond discrete variable stabilizer codes.

A study predicts that soft magnon modes arising from spin-canting order can give rise to Cooper pairing in spin-orbit-proximitized rhombohedral graphene, naturally accounting for various experimentally observed trends.

A nonlinear reservoir engineering approach is proposed, enabling the stabilization and error correction of multicomponent Schrödinger cat manifolds through the destructive interference of nonlinear gain and loss processes.

Persistent spin currents in superconducting altermagnets offer a dissipationless mechanism for spin transport that could enable the development of high-efficiency spintronic computer chips.

Researchers use fast “sideband control” to swap quantum information between a processor and a superconducting-cavity memory far faster than traditional dispersive methods, even when the two are only weakly coupled. This enables robust encoding gates and reliable quantum storage in high-quality superconducting cavities.

Theoretical analysis of two-dimensional electron systems shows that magnon-mediated interactions drive robust $p$-wave superconductivity within a ferromagnetically order state at a temperature significantly higher than in a paramagnetic state.

High-fidelity control of a ${}^{13}$C nuclear spin coupled to a tin-vacancy center yields coherence times exceeding 1.35 s using a superconducting waveguide, highlighting the potential of the tin-vacancy center as a coherent spin-photon interface for future quantum network applications.

An anomalous Floquet non-Abelian topological insulator is realized in an acoustic system, exhibiting robust edge states across all band gaps, despite a trivial bulk charge, and unique topological interface modes arising from noncommutative dynamics.

Anyons, collective excitations of fractional quantum Hall systems, are shown to exhibit unprecedented stability in graphene heterostructures, enabling their practical manipulation for use in fault-tolerant quantum computing.

A wafer-scale platform integrating high-quality diamond membranes with functionalized silicon substrates enables the parallel fabrication of quantum memory arrays with near-unity yield, paving the way for the mass production of modular quantum interconnects.

Resonant x-ray scattering in CaCoO${}_2$ reveals a quasi-three-dimensional trimer charge order linked to interlayer orbital hybridization, establishing molecular units as key organizers for macroscopic electronic states.

A unified theory of Mpemba effects across a variety of contexts is provided using resource theories. Faster relaxation occurs when states with a larger amount of resources have a smaller overlap with the slowest resourceful relaxation channel.

Sliding ferroelectrics possess a nucleation-free nature, where collective and constrained domain wall motion enables deterministic polarization control far beyond conventional ferroelectrics.

Researchers find that a simple boundary quantum spin in the multichannel Kondo model can scramble information as fast as the most complex random systems, revealing a link between impurity physics and fast scramblers.

Hydrostatic pressure acts as a reversible control knob in twisted WSe${}_2$ to enhance ferromagnetism and drive topological phase transitions between Chern and Mott insulating states.

A new nonequilibrium universality class for fermions is identified. It displays an emergent “dark state symmetry” that protects quantum criticality, requiring only a single tuning parameter.

Researchers demonstrate a measurement-device-independent certification for continuous-variable systems. By using coherent states, they show that entanglement and memory can be verified even with untrusted hardware.

A newly developed photonic restricted Boltzmann machine accelerates generative artificial intelligence by executing complex Gibbs sampling optically, overcoming traditional electronic computing bottlenecks.