Researchers have demonstrated a novel imaging technique that leverages classically correlated light to reconstruct images remotely, challenging the conventional reliance on quantum entanglement.
Researchers have developed a novel formalism for consistently describing interactions between classically propagating fields and fully quantum systems, offering a pathway beyond standard perturbative calculations.
A new theoretical framework unlocks pathways to significantly improve the efficiency and accuracy of atom interferometers by precisely controlling atomic momentum.
A new mathematical framework reveals how directionality and complex behavior can arise naturally from fundamental principles of closure and refined equivalence.
![The study reveals a conical intersection-a point of degeneracy-between the ground and first excited singlet states of the methaniminium cation [latex]CH_2NH_2^{+}[/latex], characterized by a double-cone topography of potential energy surfaces along the branching-plane coordinates defined by gradient-difference and nonadiabatic-coupling directions, and pinpointed through optimization of the minimum-energy conical intersection geometry.](https://arxiv.org/html/2602.02115v1/x1.png)
New research reveals that classical simulations struggle to reach conical intersections, fundamental to chemical reactions, due to an unexpected entropic barrier.
![Numerical simulations, parameterized as described in the accompanying text, explore the behavior detailed by equation [latex] (2) [/latex].](https://arxiv.org/html/2602.02105v1/figure1.png)
A new study demonstrates that accurately modeling the interplay of light and matter in nanoscale semiconductors requires a detailed, fully quantized simulation of coupled photons, excitons, and biexcitons.
![Multivariate analysis, employing algorithms such as BDT, BDTG, MLP, and Likelihood, demonstrates stable performance across hadronic analyses at collision energies of 5.29, 6.48, and 9.16 TeV, achieving optimal discrimination - as measured by the Area Under the Curve [latex]AUC[/latex] - at [latex]\sqrt{s} = 9.16 \text{ TeV}[/latex].](https://arxiv.org/html/2602.01010v1/AUChadronic.jpeg)
A new study explores the potential of future muon-proton colliders, enhanced by advanced machine learning, to discover vector-like quarks and probe physics beyond the Standard Model.
![Calculations of [latex]d/A^2c[/latex] from SA-NCSM closely align with predictions for [latex]^{8}\mathrm{Li}[/latex] and [latex]^{8}\mathrm{B}[/latex] beta decay to [latex]^{8}\mathrm{Be}[/latex], exhibiting a correlation with the calculated quadrupole moments [latex]Q(2^{+})[/latex] of the initial nuclei, though uncertainties-derived from both experimental [latex]Q(2^{+})[/latex] values and linear regression-remain a critical component of validating these findings.](https://arxiv.org/html/2602.00341v1/x12.png)
Advancements in first-principles nuclear theory are refining calculations of beta decay, opening new avenues for searching for physics beyond our current understanding of the universe.
Accounting for the subtle interplay between new particle signals and known Standard Model processes is critical for accurately interpreting collider data and avoiding false discoveries.
Researchers are uncovering how to harness quantum interference in layered materials to manipulate charge flow with magnetic fields and electric currents, potentially leading to new spintronic devices.