![The capacity of a restricted Boltzmann machine to accurately learn the ground state of a Hamiltonian is fundamentally determined by the system’s spectral gap-$E\Delta E$-relative to optimization parameters, specifically the ratio of the spectral gap to the learning rate multiplied by a factor $f\_k$, as described by the equation $E\Delta E / \eta f\_k$ [34].](https://arxiv.org/html/2512.11632v1/x2.png)
New research reveals that the effectiveness of neural networks in simulating quantum systems is heavily influenced by how the quantum state is represented, impacting the accuracy and efficiency of calculations.
New research leverages the Schmidt decomposition theorem and non-additive entropy to dissect the interplay between universal and non-universal behaviors in quantum phase transitions.
This review explores how encoding quantum keys on the ‘spin’ of light offers a path to faster, more secure communication networks.
New research explores a Bohmian mechanics-based approach to bridge the gap between classical statistical descriptions and quantum phenomena.
A new framework unifies the description of open systems, revealing a fundamental connection between classical Langevin equations and quantum master equations.
New research reveals a fundamental limit to how precisely we can define space and time using quantum systems, demonstrating an inherent trade-off between coordinate precision and system dynamics.
A new framework establishes a rigorous link between information theory and the operational power of quantum contextuality, revealing its limits and potential.
![The study demonstrates that maximizing the difference between the density matrices of the GHZ state and a mixed state-specifically, $tr[A(\rho_{GHZ} - \rho_{mix})]$ at time 0 and $tr[A(\overline{\rho_{GHZ}} - \overline{\rho_{mix}})]$ as time approaches infinity-yields consistent behavior across a range of parameters ($h_z = 0.6$, $h_x = 0.2$, $J_1 = 1.0$, $J_2 = 1.35$, $d = 0.5$, and $e = 0.1$), suggesting a robustness in the observed phenomenon despite variations in system configuration.](https://arxiv.org/html/2512.11522v1/x4.png)
New research demonstrates that even perfectly isolated macroscopic quantum states are destined to behave classically due to inherent dynamical processes.
A new approach leverages quantum machine learning to identify subtle semantic changes in short videos by focusing on the unique style of individual creators.
Researchers have developed a faster, more objective technique for identifying subtle internal vibrations in slowly pulsating B stars, revealing key insights into their structure and evolution.