Engineering Majorana States with Quantum Dots and Light
![A microscopic model explores the potential for creating “poor man’s” Majorana bound states by embedding two spinful quantum dots-each possessing on-site energy ε, Zeeman energy [latex]V_Z[/latex], and subjected to s-wave superconducting pairing Δ-within a cavity resonating at frequency [latex]\omega_c[/latex] and coupled via both spin-conserving tunneling [latex]t[/latex] and spin-flipping tunneling [latex]t_{so}[/latex], with a light-matter coupling strength of [latex]g[/latex].](https://arxiv.org/html/2604.15036v1/x1.png)
Researchers propose a novel architecture for creating and controlling ‘poor man’s’ Majorana bound states by coupling a quantum dot chain to a photonic cavity.
Science
Beyond Conventional Limits: A New Form of Superconductivity Emerges
![The study of the attractive SU(4) Hubbard model on a square lattice reveals a quantum phase transition-occurring at [latex]U_{c}[/latex]-between a charge-2e superconducting (Higgs) phase and a charge-4e superconducting (confined) phase, with the intervening transition characterized by deconfined quantum pseudocriticality consistent with Sp(4) gauge-Higgs theory.](https://arxiv.org/html/2604.14289v1/x1.png)
Researchers have identified a robust charge-4e superconducting phase and charted a pathway to unconventional superconducting criticality, challenging established paradigms in condensed matter physics.
Unlocking the Machine: The Rise of AI-Powered Reverse Engineering
This review examines the rapidly evolving field of automated reverse engineering, where artificial intelligence is being deployed to dissect and understand complex software.
Before Chips are Made: Hardening SoCs with Emulation
As system-on-chip designs grow in complexity, pre-silicon security verification using hardware emulation is becoming essential to proactively identify vulnerabilities.
The Quantization Cliff: Why Lower Precision Doesn’t Always Mean Better
New research reveals a surprising fragility in INT4 quantization, demonstrating that performance can unexpectedly degrade after full-precision training, even without changes to learning rates.
Securing the Post-Quantum Era: A New Approach to Hardware Verification
Researchers have developed a scalable verification hierarchy to rigorously test the security of masked post-quantum cryptographic hardware before it’s built.
Orchestrating the Quantum-Classical Divide
A new framework efficiently manages workloads between high-performance computers and quantum processors by treating fragmented quantum circuits as independent tasks.
Shadowing the BEAM: Obfuscation in Erlang
This review delves into the increasingly sophisticated techniques used to protect Erlang applications by hindering reverse engineering and analysis.
The Limits of Sequence Design: Scaling Laws for Quasi-Complementary Sets
New research establishes fundamental constraints on the scalability of quasi-complementary sequence sets, impacting codebook design and signal processing applications.
Exotic Hadrons: Hunting Pentaquarks at High Energies
New theoretical tools promise to unlock the production rates of fully heavy pentaquarks, potentially revealing these elusive particles at the LHC and future collider experiments.