Hunting Exotic Tetraquarks at the LHC
New, high-precision fragmentation functions are enabling more accurate predictions for the production of all-charm tetraquarks at hadron colliders.
Science
Quantum Agents: Scaling Reinforcement Learning with Distributed Quantum Computing
A new framework leverages the power of distributed quantum computing to enhance reinforcement learning in complex multi-agent systems.
Beyond MDS: Designing Better Codes for a Quantum Future
New research delves into Generalized Roth-Lempel codes, unlocking improved parameters for both classical and quantum error correction.
Beyond Equally Spaced Spectra: The Hidden Stability of Quantum Scars
![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.
Fortifying Chips: A Lightweight Approach to IC Protection
A novel hardware security technique combines cryptography and obfuscation to defend against counterfeiting and reverse engineering with minimal resource overhead.
Encoding Security: A New Encryption Scheme Based on Problem Complexity
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.
Quantum Fortification: Shielding AI from Adversarial Attacks
Researchers are exploring the potential of quantum circuits to build more resilient neural networks capable of withstanding sophisticated adversarial manipulations.
Beyond the Barrier: A New View of Quantum Tunnelling
![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.
Can AI Reason About Code Concurrency?
A new approach combines the power of large language models with formal verification to tackle the notoriously difficult problem of finding bugs in concurrent programs.
Unlocking QCD’s Secrets: A New Calculation for Particle Interactions
![The study dissects the intricacies of non-singlet splitting functions - [latex]P_{ns}^{(3)+}, P_{ns}^{(3)-}, P_{ns}^{(3)s}[/latex] - at [latex]n_f = 4[/latex], revealing how approximations, when contrasted with the full calculation, illuminate the inherent complexities within quantum chromodynamics and the subtle interplay between theoretical models and observed phenomena.](https://arxiv.org/html/2604.09534v1/x19.png)
Researchers have completed a complex calculation refining our understanding of how quarks and gluons interact within protons and neutrons.