Simulated quantum annealing enhances probabilistic Ising Machines by enabling faster, more reliable solutions to complex optimization problems using interacting copies of the system guided by a time-dependent field.

A microchannel quantum dot integrated with a superconducting resonator allows for the precision trapping and detection of single electrons on superfluid helium above 1 K, demonstrating control in conditions suited for scalable quantum processors.

Heralded entanglement between two solid-state quantum memories with on-demand retrieval and temporal multimodality demonstrates a crucial building block for scalable quantum repeaters and long-distance quantum networks.

Deuteron-deuteron fusion at energies below 5 keV occurs mainly via a helium-4 resonance that decays by emitting electron-positron pairs, a newly observed, dominant reaction channel important for stellar nucleosynthesis and fusion models.

A newly uncovered fundamental form of universality classifies all superconductors into a unified framework by accounting for chemical impurities and inelastic scattering.

Relying on tensor networks and ZX-calculus, a visual framework for studying noninvertible symmetries in quantum systems reveals how these novel transformations constrain ground states and reshape our understanding of dualities.

Analysis of the equations governing a two-dimensional Fermi liquid with Coulomb interactions uncovers long-lived odd-parity collective modes that decay far more slowly than standard theory predicts.

A new trapped-ion experiment creates the most reliable “magic state” yet, protecting the state from environmental noise using minimal overhead and advancing practical quantum computing.

Entangled dual-comb spectroscopy combines a classical comb with an entangled quantum comb to suppress photon noise, achieving faster, more precise measurements than classical methods and enabling advanced sensing and metrology applications.

Quantum systems at equilibrium are more localized than previously thought when looked at through the lens of conditional mutual information, a key way of measuring three-part correlations.

A new, gate-free, highly tunable platform for controlling charge-carrier density in multilayer graphene reveals how phonons and plasmons in the material respond to unexplored extremes of doping and electric fields.

Using reinforcement learning to design fault-tolerant quantum circuits leads to efficient logical state preparation schemes with fewer gates and flag qubits than human-designed methods, advancing quantum error correction.

A unified framework combining entropy accumulation and quantum probability estimation provides tight, practical bounds on certified randomness generation, paving the way for simpler and stronger security analyses in quantum cryptography.

Analytical and numerical tools adapted from statistical physics reveal phase transitions in quantum control landscapes, explaining when new optimal strategies emerge and guiding the design of more efficient quantum technologies.

Nonreciprocal interactions—where influence is not mutual—dramatically reshape the phenomenology of flocking in active matter. Competing species form dynamic, synchronized clusters with time-dependent motion in the thermodynamic limit.

A new quantum algorithm framework reduces gate counts for ground-state energy estimation in molecular simulations by combining spectral amplification, sum-of-squares Hamiltonian representations, and integral compression.

Active solids—elastic materials built from energy-consuming parts—in the shape of microbeams rotate or oscillate and reveal tunable lifelike motion, paving the way for adaptive, shape-shifting materials and microscopic machines.

A new classical algorithm shows that noise restricts non-error-corrected quantum computational power more generally than previously recognized.

The structure of brain connectivity predicts collective neural activity, with a small number of connectivity features determining activity dimensionality, linking circuit architecture to network-level computations.

By linking quantum optical measurements to electronic correlations, a new framework shows how photon correlations can reveal hidden properties of quantum materials, opening new ways to probe phenomena like spin chirality and anyons.

Quantum sensors can surpass their current limits by using entanglement. A method to create entangled states with fermionic erbium atoms reduces measurement noise fivefold while opening paths to advanced sensing and fundamental physics tests.

An approach for defining and computing temporal entanglement extends holographic methods from space to time, overcoming previously unsolved ambiguities and revealing how quantum information can be understood for systems extending in the time direction.

A two-dimensional trapped-ion architecture called the quantum spring array offers a novel method for hosting a large quantum computer.

Rare measurements in quantum systems cause a slow purification process. Mapping this process to a 1D dilute gas reveals a universal scaling law for how entropy and uncertainty decrease over time.

Tiger codes provide a unified framework for designing quantum error-correcting codes directly in harmonic oscillators, using integer-based homology to exploit their full structure and enable scalable quantum information processing.

An asymptotic analysis of graph convolutional networks shows that deeper architectures can boost performance when designed with residual connections, offering the first precise theory for infinitely deep graph neural networks.

Analytical and numerical analyses show that chemically active droplets can either stabilize at a fixed size or grow indefinitely, revealing fundamental rules that may govern droplet dynamics in living cells.

Experiments on monolayer TiSe${}_2$ grown on different substrates show that its charge-density wave persists even when exciton formation is suppressed, proving that lattice effects—not excitons—drive the ordered state.

A universal trade-off links time, cost, and error in thermodynamic processes, showing that perfection requires infinite resources. This limit applies to both classical and quantum systems, guiding the design of efficient control and information processing.

Hydrogenation treatment unlocks robust room-temperature ferromagnetism in the highly conductive layered oxide PdCoO${}_2$, creating a natural superlattice of metallic and magnetic layers for potential spintronic applications.

Attosecond x-ray measurements reveal that electrons escape more slowly from nitrogen than from carbon atoms in molecules, showing how atomic composition and symmetry shape ultrafast, element-specific electron dynamics.

Neutral-atom qubits in optical lattices can be linked over long distances using topological pumping, robustly moving entangled atoms in their own “quantum lanes” to enable scalable, programmable quantum circuits.

Experiments on twisted bilayer graphene Josephson junctions show that strong supercurrents persist even in flat electronic bands, revealing that quantum geometry and collective effects can sustain superconductivity without electron motion.

Origami sheets fall into two topological classes: Some crease patterns yield stiff, uniform bending, while others allow soft, irregular motion, offering a robust framework for designing adaptive materials and soft robotics.

Experiments on NaYbSe${}_2$ reveal that mobile magnetic excitations arise from fluctuating boundaries between disordered clusters of entangled spins, showing how structural disorder can produce motion within a seemingly frozen quantum state.

Coherent terahertz emission spectroscopy proves to be a sensitive technique for probing superconducting fluctuations in YBCO near its transition temperature, detecting strong, nonlinear optical signals that originate from critical behavior at phase boundaries.

Skyrmions behave as fractonlike particles whose motion is constrained by a conserved topological dipole moment, linking their dynamics to quantum Hall physics and revealing how quantum skyrmions behave as massless particles.

Pulsing an erosive chemical through artificial flow networks allows them to self-organize for uniform flow, revealing a simple rule for achieving balanced transport and guiding the design of more efficient porous materials and devices.

Tin doping in the superconductor CsV${}_3$Sb${}_5$ suppresses its usual charge-density-wave pattern, revealing a hidden stripe order that highlights how lattice instabilities and electronic correlations can control competing phases in quantum materials.

A neutral-atom quantum computing system that can repeatedly measure, reuse, and replace ancilla qubits without disrupting others enables longer computations and advances scalable, fault-tolerant operation.

A new framework linking atomic disorder to thermal conductivity shows how variations in atomic bonding networks control heat flow in materials that are partly crystalline and partly glassy.

Calculations and experiments show that in layered Nb${}_3$X${}_8$ compounds, changing the halogen element or thickness continuously tunes electron correlations, transforming the materials from weakly correlated band insulators to strongly correlated Mott insulators.

Angle-resolved photoemission measurements reveal that twisting bilayer MoTe${}_2$ to about 2${}^{\circ }$ flattens its valence band and enhances electron localization, pinpointing the “magic angle” where correlated quantum phases are most likely to emerge.

A new on-chip microwave-to-optical converter built from soft-ferroelectric barium titanate achieves bidirectional signal conversion, offering a promising path toward long-range interconnects for superconducting quantum computers.

The frustrated magnet Er${}_2$Be${}_2$GeO${}_7$ exhibits two unexpected magnetization plateaus, revealing that subtle lattice distortions can dramatically alter spin order and offering a platform to study geometry driven magnetic behavior.

A unified transformer-based model accurately and efficiently reconstructs particle tracks in collider experiments, outperforming traditional methods and offering scalable solutions for handling the massive data of next-generation high-energy physics.

Ultrathin bismuth films grown on boron nitride host a high-mobility two-dimensional electron system dominated by spin-split surface states, revealing strong spin-orbit effects that could potentially enable stable, spin-based quantum behaviors at elevated temperatures.

A combination of AI-assisted high-resolution AFM and simulations expose an amorphous ice layer, revealing how ice transforms before melting.

Rotating rectangular 2D materials by 90 degrees creates square moiré patterns with flat electronic bands, offering a simple, tunable platform for exploring cuprate-like magnetism and superconductivity in stacked materials.

A universal lower bound for the dynamical exponent in frustration-free systems is proven, showing that these systems can not host emergent Lorentz invariance.

Kolmogorov-Arnold networks combine the predictive strength of deep learning with the interpretability of symbolic formulas, enabling AI systems to both validate physical laws and generate new scientific insights.

A new theoretical framework shows that defects in chiral liquid crystals follow the same mathematical rules as Majorana and Weyl particles, revealing deep parallels between soft-matter textures and particle physics.

A feedback-controlled, light-responsive system regulates the chaotic motion of active fluids, maintaining steady flow speeds despite disturbances and enabling precise control over their dynamic behavior.

Vibrational-pump visible-probe spectroscopy and microscopy allows cross and in-plane measurements of thermal conductivity for two-dimensional materials.

A first-principles study of twisted WSe${}_2$ bilayers reveals how antiferromagnetic magnetic order and superconductivity collaborate near a tunable Van Hove singularity and demonstrates their evolution as function of the twist angle.

A quantum-secure deep learning protocol lets multiple parties harness AI without exposing proprietary data or models.

Magnetic field dependence studies on focused ion beam lithography fabricated CeRh${}_2$As${}_2$ reveals the competition between multiple superconducting and density-wave phases in strongly correlated materials.