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Physical Review X

@physrevx.aps.org

@apsphysics.bsky.social's open access journal for cutting-edge research across physics and adjacent fields

43 Posts120 Follower 5 Folgt

Physical Review X @physrevx.aps.org · 5h ago

Symmetry breaking had only been quantified for the simplest case among continuous symmetries — the U(1) group — until now. A new study establishes the quantum geometric tensor as the complete measure of symmetry breaking for any compact Lie group. 🔗 https://go.aps.org/4fQpT1c

A schematic diagram showing quantum state conversion. Seven copies of the input state, shown as green circles on the left labeled ψ, are connected by a horizontal arrow to five copies of the output state, shown as labeled blue stars on the right labeled φ.

Physical Review X @physrevx.aps.org · 6h ago

A minimal quantum circuit model reveals the dynamics of higher-order, out-of-time-order correlators and shows that free probability naturally emerges — a key step in understanding fine structure of thermalization in quantum systems. Learn more: https://go.aps.org/4hR1iMh

An illustration of the Cayley graph of the symmetric group for k = 4, represented by a series of circles connected by solid blue, red dashed, and green dashed lines. Each circle contains blocks with black dots highlighted either red or blue, representing cycles of permutations. Arrows between the dots denote the order within these cycles. Blue blocks are associated with noncrossing partitions, while red blocks are not.

Physical Review X @physrevx.aps.org · yesterday

A classification framework based on differential geometry introduces geodesic and torsional scalar spin chiralities — revealing a quantum geometric effect that modifies electron equations of motion in complex magnetic textures. Read the study: https://go.aps.org/4xlMdqB

An image showing a rainbow-colored array of arrows mapped onto a gray sphere. Below the rainbow strip is a thick red arrow labeled +I that points to the right and a thin blue arrow labeled -I that points to the left. A light green arrow arches upward from the middle of the strip toward a gray unit sphere. On the sphere is a dark curved path traced with small arrows that radiate from the center of the sphere. A green translucent rectangular plane rests tangent to the sphere over this path, labeled with the text κg ≠ 0.

Physical Review X @physrevx.aps.org · yesterday

Study finds that when a network with low-dimensional structure receives outside input or is perturbed by noise, it can produce either high- or low-dimensional responses depending on the finer structure of the network and its input. Read the study: https://go.aps.org/4fT3NLA

Two plots showing the network response, z(t) at the top, and its norm, ∥z(t)∥ at the bottom, given an input aligned to the low-rank structure of the network, labeled aligned perturbation x = u, and a random input, x = urand. The norm of z is more than 11 times smaller in response to the aligned versus random perturbation. The local network input, shown as a purple line on the bottom, cancels with external input, shown in green above, to produce suppressed network responses, shown in blue above, in the direction of u.

Physics Magazine @physicsmagazine.aps.org · 5d ago

Inspired by bone and spider silk, researchers have used machine learning to devise new disordered metamaterials. These structures not only have the properties they were designed for, but they also resist deformation and fracture.

Predicted Noncrystalline Structures Have Bonus Properties

Simulations reveal disordered structures that are also surprisingly resistant to impacts and cracks.

physics.aps.org

Physical Review X @physrevx.aps.org · 5d ago

A physics-informed design framework for materials discovery encodes desired properties into an energy function, then uses #MachineLearning algorithms to search only mechanically stable configurations — ones that are both lightweight and resilient. 🔗 https://go.aps.org/3TP80Zb

$On the top are two graphs comparing energy absorption capabilities and fracture resistance performance of systems with previous structures. Both graphs have density (g/cm3) on the x-axis. The graph on the left has compression specific energy absorption, or SEA, (J/g) on the y-axis, and the graph on the right has fracture SEA (J/g) on the y-axis. The systems in this study have higher SEA values at lower densities. Below is an illustration of potential applications of systems in ballistic police shields, shown on the left, helmets, shown on the right, and car bumpers, shown at the bottom. In the center is a 3D-printed geometric shape. It is surrounded by a blue circle with lines pointing outwards and towards the three objects.$

Physical Review X @physrevx.aps.org · 6d ago

Rubber behaves predictably when compressed, but complex materials do not. A new study finds that compressing a metamaterial at point A then B gives a different outcome than doing so at B then A — and connects this path dependency to computing. 🔗 https://go.aps.org/3RA70aN

A figure divided into three horizontal sections. At left, a rest-state photo labeled Γ₀ shows two vertical unit pairs joined by a horizontal elliptical-annulus spring, mounted between support frames with white triangular markers. In the middle, a boxed "non-Abelian" panel shows two compression sequences: a blue arrow labeled [c1, c2] leads to configuration Γ1, where the units lean left; a green arrow labeled [c2, c1] leads to Γ2, where the units lean right. At right, a boxed "mixed-mode" panel shows two more photos, each with red arrows marked "snapping" and black arrows marked “smooth" illustrating transitions back to Γ0.

Physical Review X @physrevx.aps.org · 6d ago

By combining electron cooling of highly-charged ions in a Penning trap with deceleration and trapping of accelerator-produced highly-charged ions, new experiments pave the way for high-precision experiments in #QuantumElectrodynamics. Read the paper: https://go.aps.org/4h6JzAk

On the left are results from the one-shot energy analyzer following the interdigital H-type structure — a grainy blue circle with two roughly horizontal streaks of green, red, orange, and yellow. 36Ar18+ ions are separated by the magnetic field, with the low energy components located in the bottom streak and the high energy components in the top streak. On the right is a graph with the signal, which has arbitrary units, on the x-axis and intensity, shown as position in millimeters on the y-axis. The fully-decelerated components are marked green and the partially- or non-decelerated components are marked red.

Physical Review X @physrevx.aps.org · last wk.

By linking image-based observations to quantitative physical parameters, a study details a fast, low-volume, accurate, and automation-ready alternative to conventional methods for assessing difficult-to-measure liquid properties. Read the study: https://go.aps.org/3REsZx6

On the top is a four-step sequence of images of droplet formation. From left to right they are labeled 1. Raw image, 2. Boundary, 3. Prediction, and 4. Difference. The raw image is in grayscale, the boundary and prediction images are outlines of the main shape, and the difference is a heat map highlighting differences between the two center images along their edges. Below is a neural network diagram with a four-node blue input layer on the left that travels through three hidden layers with four green nodes each. A yellow output layer with two nodes is on the far right. The final output nodes generate mu and sigma.

Physical Review X @physrevx.aps.org · last wk.

Researchers present a non-Hermitian Bethe-Salpeter equation framework for open systems, apply it to valley excitons in transition metal dichalcogenides, and uncover exceptional points in momentum space and striking polarization patterns. 📝 https://go.aps.org/4x2KOVK

A pair of graphs illustrating the excitonic spectrum for bath B1, with q/qk on the x-axis and energy in meV on the y-axis. The graph on the left displays the real part of the eigenvalues as a function of the excitation momentum, while the graph on the right displays the imaginary part of the eigenvalues. Upper branches are shown in solid lines of various blue shades, with a color bar on the left indicating how darker blue lines correspond to a higher symmetry-breaking parameter. Lower branches are shown in dashed red lines, with a similar color bar on the right indicating how darker red lines correspond to a higher symmetry-breaking parameter.

Javier Aguilar @javiersanguilar.bsky.social · last wk.

New publication with Miguel Angel Muñoz and Sandro Azaele! We introduce a Monte Carlo method to assess likelihoods of sparse data, and show that the ability to identify the best model to describe data crucially depends on the characteristics of the dataset. @physrevx.aps.org go.aps.org/4wjlgUi

Limits of Inference in Complex Systems: When Stochastic Models Become Indistinguishable

A path-inference framework quantifies data resolution limits that render distinct stochastic models empirically indistinguishable and offers guidelines for designing experimental measurements that max...

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Physical Review X @physrevx.aps.org · last wk.

Most spin-based quantum sensors are constrained by host crystals, limiting how close they can get to a molecular target. A framework using chemically tunable electron spins enables molecular-scale control and sensing of local magnetic fields. 🔗 https://go.aps.org/4vP9wrP

An illustration of two molecular spin sensors, shown as white, web-like structures, positioned near a ribbon diagram of a protein, colored in gradient red, purple, and blue. The bottom left sensor is depicted as a red horseshoe, while the top right sensor is depicted as a blue horseshoe.

Physical Review X @physrevx.aps.org · last wk.

Employing a new diagrammatic technique, scientists calculate the spectral form factor in chaotic many-body quantum systems and demonstrate the emergence of random matrix theory spectral correlations for various Dyson symmetry classes. Learn more: https://go.aps.org/4fCQIWu

The figure displays two circular diagrammatic representations of transpositions for systems. Diagram (a) on the left represents a transposition for systems belonging to the COE and CUE Dyson symmetry classes. Diagram (b) on the right represents a transposition for a system belonging to the CSE Dyson symmetry class. In both diagrams, a dashed blue circle represents the initial configuration of states, the red curve represents the configuration of states after transposition, and the inner black dashed circle represents the time reversed version of the states on the outer circle.

Physical Review X @physrevx.aps.org · 2w ago

A theoretical and experimental study maps out the diverse phase landscape of monolayer TaIrTe4 — opening new directions for using this platform in quantum materials research and exploring exotic quantum states. 📝 https://go.aps.org/45kOI0e

A graph displaying the topological edge states in monolayer TaIrTe4. The graph plots E-Ef in eV on the y-axis and Γ, Y, Γ on the x-axis. A color scale bar on the right, labeled LDOS, ranges from blue (low) to red (high). The edge states along the [010] edge display the helical edge features, resembling an infinity symbol, in red.

Physical Review X @physrevx.aps.org · 2w ago

Harnessing angle-resolved photoemission spectroscopy, researchers provide one of the first complete 3D maps of the electronic band structure of superconducting bilayer nickelates and observe superconducting gaps across all observed bands. Read the paper: https://go.aps.org/4bcLJum

Schematic showing the 3D Fermi surface observed in superconducting (La,Pr,Sm)3Ni2O7 films with high-symmetry points labelled in the Brillouin zone. A black cylinder, labeled 𝛼, stands in the middle with a center point labeled Z. It is surrounded by a layer of four curved cyan planes labeled 𝛽 that are in turn surrounded by four curved red planes labeled 𝛾. Dots on the right side of the schematic are labeled A, R, M, and X.

Physical Review X @physrevx.aps.org · 2w ago

A new Monte-Carlo framework delivers reliable parameter estimation and model selection from coarsely sampled time series without needing analytical solutions — overcoming obstacles like sparse sampling in inference for stochastic dynamical systems. 🔗 https://go.aps.org/4wjlgUi

A two-part graph plotting the trajectories of 100 stochastic paths of a Wiener process showing population abundance fluctuations for a species in the human gut microbiome. On the left part of the graph, time (t) is on the x-axis, and Xt, or the system’s state, is on the y-axis. A wide array of colored lines represent each of the path trajectories, with a red start indicating the starting point at t = 0. The right part of the graph contains a bar chart plotting the associated propagator estimation at t = 10.

American Physical Society @apsphysics.aps.org · 2w ago

Researchers engineered a molecular clock using ytterbium hydroxide that suppresses electromagnetic interference, while remaining sensitive to tiny signals that could hold clues about physics beyond the Standard Model. Read more in @physrevx.aps.org: https://go.aps.org/3TfwPgI

Close-up of a laser optics setup illuminated by bright green laser light, showing mirrors, lenses, optical mounts, and other precision components used for molecular measurements.

Researchers adjust a rectangular vacuum chamber mounted within a rigid aluminum frame, part of a precision experimental system used to study molecules with extreme sensitivity.

Wide view of a laboratory experiment featuring a large aluminum support frame surrounding a precision vacuum apparatus, with scientific equipment, cables, and tool cabinets visible in the background.

Physical Review X @physrevx.aps.org · 2w ago

This paper presents a statistical framework that yields exact predictions for feature learning and generalization in finite-width, deep, nonlinear networks in the interpolation regime. Learn more: https://go.aps.org/4yC2JnR

Two line graphs showing mean-square generalization error on y-axis versus training data (n/d²) on x-axis for a two-layer neural network with ReLU (top) in blue and tanh (bottom) in red. Three methods are compared: a Bayes-optimal neural network (points plotted as circles), a random feature model (crosses), and GAMP-RIE (triangles). The Bayesian network achieves lower error than the random feature model and GAMP-RIE.

Physical Review X @physrevx.aps.org · 2w ago

A study details a theoretical framework for identifying mechanisms of third-order nonlinear transport in disordered materials — a potential tool for analyzing the quantum geometry of nonlinear electronic transport. Read the study: https://go.aps.org/4bFj4OH

On the top is a scientific illustration showing how the third-order nonlinear Hall effect is measured experimentally as a third-harmonic transverse voltage V3ω driven by a low-frequency current Iω, ω ∈10-1000 Hz, or calculated theoretically as a current density J3ω driven by an electric field Eω. Below is a schematic illustration of the wavefunction, ψ, manifold in momentum, k, space, the Berry curvature and quantum metric are the imaginary, Im, and real, Re, parts of the quantum geometric tensor, respectively.

Physical Review X @physrevx.aps.org · 2w ago

Why do large-scale 2D flows form in rotating 3D turbulence? A new paper in Physical Review X reveals an unexpected conservation law that redirects energy toward large-scale 2D structures. Read more: https://go.aps.org/4fpfqJR

Multi-panel figure showing the formation of large scale 2D flows in rotating 3D turbulence. Top panel shows a time series of total energy, with an increase followed by steady state. Middle panel shows a log-log plot of condensate energy on the y-axis versus Rossby number, Ro, on the x-axis for multiple Reynolds numbers, shown as lines of different shades of blue, purple, pink, and orange. Bottom panels show flow visualizations of vertical vorticity as red and blue gradated images at various values of Ro: 0.0058, 0.011, and 0.5.

Physical Review X @physrevx.aps.org · 2w ago

Scientists engineered clock transitions with electric and magnetic sensitivities suppressed by a factor of 700 and 200 respectively in YbOH, while maintaining high sensitivity, allowing for precise measurements of the electromagnetic environment. 🔗 https://go.aps.org/3TfwPgI

Figure showing the experiment. A beam of YbOH molecules is directed through a series of lasers. There are sections representing pumping, the first Ramsey pulse, free evolution, the second Ramsey pulse, and the readout. An icon shows how state populations are determined by state-selective laser-induced fluorescence detected on a photomultiplier tube.

Physical Review X @physrevx.aps.org · 3w ago

By incorporating Floquet amplitude modulations, researchers detail how an analog Floquet solver can escape local minima — increasing how accurately parametric oscillator-based Ising machines can solve optimization problems. Read the study: https://go.aps.org/4f9mgo6

On the left is the extracted spin state of the 𝑥1 node, 𝜎1 on the y-axis, shown throughout a small range of the simulation time on the x-axis. It depicts how, once the analog Floquet solver switches from operating in the period doubling regime and begins to exploit its nodes’ Floquet states, 𝜎1 regularly flips its spin state. On the right is the extracted spin states, 𝜎𝑖 on the y0axis, of all the nodes with time on the x0axis. It shows how the system’s spins collectively undergo periodic changes of state.

Physical Review X @physrevx.aps.org · 3w ago

Experiments with twisted bilayer MoTe-2 reveal a promising candidate for a fractional topological insulator with time-reversal-symmetry — a step toward the realization of an exotic and long-predicted quantum phase. Check out the findings: https://go.aps.org/453gs9E

At the top left, panel (a) displays an illustration of the experimental setup involving dual-gated twisted MoTe-2 devices. The probe pulse connects to the pump, which contacts the Gr on top of a layer of hBN that surrounds the twisted MoTe-2. Panel (b) displays a schematic of an exciton in the K-valley bound to a carrier in the polarized K+ valley. This leads to an attractive polaron transition excited by σ-light. Panels (c), (d), (e), (f), (g), and (h) each display spectrally resolved transient reflectance maps for a twisted MoTe-2 device as a function of moiré filling factor, v, on the x-axis. Panels (c)-(e) show maps for a magnetic field of μ-0H = 0, while panels (f)-(h) show maps for a magnetic field of μ-0H = -6. Red dashed lines indicate various filling factors of v.

Physical Review X @physrevx.aps.org · 3w ago

Angle-resolved photoemission spectroscopy of bilayer nickelate thin films reveals that the out-of-plane nickel orbital band shifts with strain and doping but is not required at the Fermi level for superconductivity to emerge. Read the paper: https://go.aps.org/3TiNtvS

A schematic shows the structure of the superconducting thin film. Two rows each of four gray dipyramids are attached at the vertices with each vertex containing a red sphere. In the spaces surrounding the dipyramids are tricolored spheres containing equal parts green, yellow, and blue, which represent La, Pr, and Ca, respectively. A squiggly black arrow labeled h𝜈 points to one of the dipyramids, where an inset expands to show a cross section of a yellow sphere labeled ɑ surrounded by a green, plus-shaped structure labeled β, which in turn is surrounded by four red spheric sections labeled Ɣ.

Physical Review X @physrevx.aps.org · 3w ago

A new series of covariant path integrals for quantum-classic field interactions enables complete positivity and space-time symmetries, achieving a fundamental theory that could reconcile general relativity with quantum mechanics. Check it out: https://go.aps.org/4fBp0dQ

$Two Feynman diagrams are depicted. The top diagram shows two red wavy lines labeled "g\mu" entering and exiting black dots connected by a blue solid loop line labeled "\phi_{bra}". The bottom diagram has a dashed blue loop line labeled "\phi_{ket}" connecting similar features. A plus sign separates the diagrams.$ A table representing the classical-quantum path integral, which generalizes the Feynman-Vernon path integral of open quantum systems and the stochastic path integral of classical systems. The first column depicts the equation for the path integral, the second column contains the action equation, and the third column contains the completely positive (CP) condition equation.

A table representing the classical-quantum path integral, which generalizes the Feynman-Vernon path integral of open quantum systems and the stochastic path integral of classical systems. The first column depicts the equation for the path integral, the second column contains the action equation, and the third column contains the completely positive (CP) condition equation.

Institute of Science and Technology Austria (ISTA)@istaresearch.bsky.social · 3w ago

With PhD student Alejandro Andrés-Juanes and professor @johannesfink.bsky.social Read the paper in @physrevx.aps.org, @apsphysics.aps.org Journals: doi.org/10.1103/r4jt... #QuantumBath #DistributedEntanglement #DistantQubits #QuantumComputing #QuantumTechnology

Physical Review X @physrevx.aps.org · 3w ago

What makes a fabric knitted? 🧶 Physicists identified a topological framework based on knot theory that can distinguish knits and crochets from other textiles. Knits have defects, or local areas of yarn disentanglements, that propagate. Read more: https://go.aps.org/4vyZIlF

Venn diagram showing different textile classifications. The textiles in the center satisfy all three conditions detailed in the paper. These are jersey knit on the left and “fake” knit on the right. A blue square identifies a cell unit, highlighting the difference between these two types of knits. Multiple other textiles are shown in other areas of the Venn diagram. These are non-woven textiles, chain mail, weaving, and several unlabeled textiles.

Physical Review X @physrevx.aps.org · 3w ago

Using engineered dissipation, this study achieves the autonomous generation and stabilization of quantum entanglement between two separate superconducting-qubit devices. Check it out: https://go.aps.org/4vvibPV

Figure with three parts to illustrate steady-state entanglement within the coherent quantum absorber scheme. The first part is a graph showing the measured concurrence on the Y axis and the Rabi drive amplitude on the X axis. The middle part shows the measured concurrence
as a function of drive duration, shown by time in the X axis. The right part shows the measured expectation as values solid green bars of all two-qubit correlators for the steady state.

Physical Review X @physrevx.aps.org · 3w ago

This study demonstrates a new process to entangle two distant qubits by coupling them to a quantum-correlated photonic reservoir. The process uses a minimal setup and is fully automated. Check it out: https://go.aps.org/452cZIm

Figure showing the entanglement distribution scheme. It shows a Josephson parametric converter generating a two-mode squeezed state that propagates in a cascaded configuration to two distant qubits, with one at the bottom and one at the top of the schematic. Driven by the correlated fields, the qubits are shown relaxing into a state tending to the maximally entangled Bell state.

Physical Review X @physrevx.aps.org · 4w ago

Using advanced atomistic simulation tools, researchers show that external electric fields can be used to control sliding resistance in layered materials — providing a way to control friction in some systems. 🔗 https://go.aps.org/4vZfcAk

An illustration showing the top view of the 9.43° twisted V0V3 hexagonal boron nitride bilayer with a surface defect concentration of about 1%. Boron and nitrogen atoms are represented by pink and blue spheres, respectively. Two boron vacancies and one nitrogen vacancy are marked by red and blue open circles and highlighted with a dashed circle in the center of the image.