Escaping the Echo Chamber: A New Approach to Long-Form Text Generation

Researchers have developed a method to prevent large language models from getting stuck in repetitive loops, improving the quality and diversity of extended outputs.

Researchers have developed a method to prevent large language models from getting stuck in repetitive loops, improving the quality and diversity of extended outputs.

Researchers have successfully demonstrated a quantum protocol inspired by traversable wormholes, bringing us closer to experimentally verifying theories linking quantum entanglement and spacetime geometry.

New, high-precision fragmentation functions are enabling more accurate predictions for the production of all-charm tetraquarks at hadron colliders.

A new framework leverages the power of distributed quantum computing to enhance reinforcement learning in complex multi-agent systems.
New research delves into Generalized Roth-Lempel codes, unlocking improved parameters for both classical and quantum error correction.
![The system’s half-chain von Neumann entanglement entropy, calculated for a size of [latex] L=8 [/latex], exhibits a clear relationship with energy across selected sectors defined by parameters [latex] (\lambda\_1, \lambda\_2) = (2, -3) [/latex], [latex] (a\_{+}, a\_{0}, a\_{-}) = (1/3, -1/5, 1/3) [/latex], and [latex] (k\_1, k\_2, m\_1, m\_2, m\_3) = (0, 0, 0, 0, 0) [/latex], demonstrating the intricate connection between entanglement, energy levels, and system configuration.](https://arxiv.org/html/2604.11015v1/x1.png)
New research reveals that algebraic closure, rather than specific spectral properties, is the key to understanding the persistence of non-ergodic states in quantum many-body systems.

A novel hardware security technique combines cryptography and obfuscation to defend against counterfeiting and reverse engineering with minimal resource overhead.
Researchers are exploring a novel public-key encryption approach that ties security to the difficulty of solving constraint satisfaction problems with a high degree of errors.

Researchers are exploring the potential of quantum circuits to build more resilient neural networks capable of withstanding sophisticated adversarial manipulations.
![A mechanical model explores particle behavior within a rotationally invariant potential featuring both a false vacuum at [latex]r = r_{FV}[/latex] and a true vacuum at [latex]r = r_{TV}[/latex] - where [latex]r_{FV} < r_{TV}[/latex] - and demonstrates how, at fixed angular momentum, the interplay between the radial and effective potentials defines turning points crucial to understanding semiclassical tunneling phenomena, illustrated by a wavefunction oscillating within classically allowed regions but exponentially suppressed under potential barriers.](https://arxiv.org/html/2604.08660v1/x2.png)
Researchers have developed a novel theoretical approach to calculating tunnelling rates in systems possessing conserved quantities, offering a simplified geometric perspective on this fundamental quantum process.