849 papers
Superconductivity is a fascinating state of matter where materials conduct electricity without any resistance, often defying our everyday expectations of how energy behaves. Researchers in this field explore the quantum mechanics behind these phenomena, seeking new materials that can operate at higher temperatures or under more practical conditions. This work holds the promise of revolutionizing everything from power grids to medical imaging devices, making the invisible world of quantum physics feel increasingly tangible and useful.
At Gist.Science, we monitor the arXiv database continuously to bring you the very latest preprints in Cond-Mat — Supr-Con as soon as they are posted. For every new submission, we generate both detailed technical summaries for experts and clear, plain-language explanations for curious readers, ensuring that cutting-edge discoveries are accessible to everyone regardless of their background. Below are the latest papers in this dynamic field, ready for you to explore.
This study investigates thermal and non-local electrical transport in four-terminal chiral topological Josephson junctions, establishing that robust half-quantized thermal conductance serves as a reliable probe for single chiral Majorana modes only under specific low-doping, intermediate-to-long junction conditions, while higher Chern numbers and finite-size effects generally disrupt quantization.
This paper establishes a general framework for quantizing light-matter theories with time-dependent constraints, demonstrating that the irrotational gauge is uniquely suited for such scenarios while showing that the Coulomb gauge is not generally irrotational and thus lacks a special status in time-dependent interactions.
This paper proposes and analyzes three lightweight SFQ-based error-correction code encoders utilizing Hamming(7,4), Hamming(8,4), and Reed-Muller(1,3) codes to mitigate bit errors in superconducting-to-room-temperature data transmission while addressing strict constraints on chip area and cooling power at 4.2 K.
This paper argues that the essential physics of overdoped cuprate high-temperature superconductors can be explained by a conventional Fermi-liquid normal state and a BCS mean-field d-wave superconducting state, attributing apparent inconsistencies to intrinsic disorder while proposing falsifiable predictions for ideal, disorder-free materials.
By continuously tuning measurement strength on a superconducting qubit, researchers discovered that the transition from quantum to measurement-dominated dynamics occurs not gradually but through three distinct, sharp phases—abrupt oscillation halt, state freezing, and the quantum Zeno regime—whose order and signatures are fundamentally reorganized by environmental decoherence.
This study demonstrates that Coulomb interactions in interacting normal-superconducting quantum-dot systems significantly reduce current precision by renormalizing resonant conditions and suppressing superconducting coherence, while simultaneously modifying thermodynamic uncertainty relations such that quantum bound violations are suppressed and a hybrid bound remains satisfied.
This paper presents a first-principles, parameter-free simulation of paramagnetic O adsorbates on an AlO surface that accurately reproduces experimental magnetic flux noise trends in superconducting qubits and identifies an external electric field as a viable mechanism for mitigating this noise by tuning spin-spin interactions.
This paper theoretically demonstrates that altermagnetic order in a weakly interacting two-component Bose-Einstein condensate induces distinct anisotropic features in low-energy excitations and response functions, which vanish upon angular averaging, while also calculating the corresponding Lee-Huang-Yang correction to the ground-state energy.
This paper proposes Sondheimer magneto-oscillations as a robust, semiclassical alternative to conventional quantum oscillations for probing Fermi surface reconstruction in underdoped cuprates at elevated temperatures, demonstrating that their distinct spectral features and phase shifts can effectively differentiate between unreconstructed, spin-density-wave, and fractionalized Fermi liquid scenarios.
This paper introduces metastable dynamical computing as an energy-efficient paradigm that utilizes thermal energy landscapes and bifurcation theory to represent information through distinguishable metastable minima, demonstrating its capability to perform universal logic operations while providing a framework for analyzing their non-equilibrium thermodynamic costs.