Explore the fascinating intersection where quantum materials meet the complexity of everyday environments in the Cond-Mat — Mes-Hall section. This field investigates how tiny particles behave when caught between the orderly world of single atoms and the chaotic nature of bulk matter, revealing the hidden rules that govern electricity, magnetism, and heat in novel substances.

Gist.Science brings these cutting-edge discoveries to you directly from arXiv, the leading repository for physics preprints. We process every new submission in this category as soon as it appears, offering both straightforward, plain-language explanations and deep technical summaries to help researchers and curious minds alike grasp the latest breakthroughs without getting lost in dense equations.

Below are the most recent papers in this dynamic area of condensed matter physics, ready for you to explore.

⚛️ quantum physics

Characterization of Radiation-Induced Errors in Superconducting Qubits Protected with Various Gap-Engineering Strategies

This study demonstrates that gap-engineering strategies in superconducting qubits can mitigate radiation-induced correlated errors by reducing quasiparticle density at Josephson junctions and accelerating recovery through trapping in the capacitor/ground-plane, thereby offering effective pathways to improve radiation resilience.

H. Douglas Pinckney, Thomas McJunkin, Alan W. Hunt, Patrick M. Harrington, Hannah P. Binney, Max Hays, Yenuel Jones-Albe (…)2026-03-17
🔬 mesoscale physics

Magnetic-field-induced superconductivity in hexalayer rhombohedral graphene

This study reports the discovery of robust, electric-field-tunable superconductivity in hexalayer rhombohedral graphene that is induced and enhanced by in-plane magnetic fields up to 14 T, emerging from a nematic Fermi surface reconstruction and suggesting a spin-polarized, unconventional pairing mechanism.

Jinghao Deng, Jiabin Xie, Hongyuan Li, Takashi Taniguchi, Kenji Watanabe, Jie Shan, Kin Fai Mak, Xiaomeng Liu2026-03-17
⚛️ quantum physics

The Quest for Quantum Advantage in Combinatorial Optimization: End-to-end Benchmarking of Quantum Solvers vs. Multi-core Classical Solvers

This paper presents an end-to-end benchmark demonstrating that a hybrid sequential quantum solver executed on IBM Heron processors can achieve sub-second runtimes and solution quality competitive with strong multi-core classical solvers, including those utilizing 128 vCPUs or 8 NVIDIA A100 GPUs, for higher-order unconstrained binary optimization problems.

Pranav Chandarana, Alejandro Gomez Cadavid, Enrique Solano, Thorsten Koch, Stefan Woerner, Narendra N. Hegade2026-03-17