Taming the Curves: A New Approach to Machine Learning Optimization

A novel quantum-inspired optimization framework offers a powerful new method for navigating the complexities of non-convex machine learning landscapes.

A novel quantum-inspired optimization framework offers a powerful new method for navigating the complexities of non-convex machine learning landscapes.

A novel diagnostic reveals how spacetime emerges from quantum gravity, pinpointing the conditions under which it breaks down and offering a path towards its restoration.
New research explores the subtle signals within B-meson decays, seeking to distinguish between new physics and the complexities of hadronic interactions.
New research reveals that a critical point can unexpectedly appear near the spinodal point of first-order quantum phase transitions, showcasing universal scaling and discrete symmetry.
![The unfolded band structure of an infinite trimerized lattice-characterized by site separation <i>aa</i>, hopping amplitudes [latex]v = 0.8t[/latex], [latex]w = 1.2t[/latex], and a quadratic gap [latex]\mu(E,k)[/latex]-reveals a patterned relationship between energy scale and momentum within the primitive Brillouin zone, as analytically verified by Zhang et al. (2021).](https://arxiv.org/html/2605.05423v1/x1.png)
A new mathematical framework leverages the quadratic pseudospectrum to reveal momentum-resolved electronic structure even in systems lacking traditional periodicity.
![The research demonstrates that a Quantum Approximate Optimization Algorithm (QAOA) circuit effectively optimizes binary phase configurations of a reconfigurable intelligent surface (RIS), thereby shaping its radiation patterns and establishing a pathway to dynamically control wireless signal propagation-a process mathematically represented by optimizing the objective function within the QAOA framework [latex] \hat{H} [/latex].](https://arxiv.org/html/2605.06048v1/x7.png)
Researchers are harnessing the power of quantum algorithms to optimize the design and control of reconfigurable intelligent surfaces for enhanced wireless communication.

New research reveals a fascinating interplay between quantum mechanics and frustration that’s giving rise to a unique form of glassy behavior in certain materials.
Researchers have developed a powerful algebraic approach to describe and manipulate anyons, potentially paving the way for more robust quantum computations.
![The relationship between entanglement entropy, quantifying the correlation between matter and a coherent state of gravitons, varies predictably with both the scale of spatial superposition [latex]\delta x[/latex] and the mass [latex]M[/latex] of the matter-specifically, with parameters set to [latex]G M^{2}=2\pi[/latex] and [latex]\delta x/\sigma=5[/latex]-demonstrating a fundamental link between these quantities.](https://arxiv.org/html/2605.05153v1/x2.png)
Researchers demonstrate how a matter-wave interferometer can be used to create entanglement between macroscopic objects and the gravitational field, opening new avenues for exploring quantum gravity.
As the threat of quantum computers looms, organizations need practical ways to assess their readiness for post-quantum cryptography in TLS deployments.