Tootfinder

Electric field control of superconducting fluctuations and quasiparticle interference at oxide interfaces
Graham Kimbell (Department of Quantum Matter Physics, University of Geneva, Geneva, Switzerland), Ulderico Filippozzi (Kavli Institute of Nanoscience, Delft University of Technology, Delft, Netherlands), Stefano Gariglio (Department of Quantum Matter Physics, University of Geneva, Geneva, Switzerland), Marc Gabay (Laboratoire de Physique des Solides, Universite Paris Saclay, CNRS U…

Electric field control of superconducting fluctuations and quasiparticle interference at oxide interfaces
We investigate tunable superconducting transitions in (111)$\mathrm{LaAlO}_3/\mathrm{KTaO}_3$ field-effect devices. Large increases in conductivity, associated with superconducting fluctuations, are observed far above the transition temperature. However, the standard Aslamazov-Larkin paraconductivity model significantly underestimates the effect observed here. We use a model that includes conductivity corrections from normal state quasiparticle interference together with all contributions from …

Spatially tailored spin wave excitation for spurious-free, low-loss magnetostatic wave filters with ultra-wide frequency tunability
Shuxian Wu, Shun Yao, Xingyu Du, Chin-Yu Chang, Roy H. Olsson III
https://arxiv.org/abs/2507.14469

Spatially tailored spin wave excitation for spurious-free, low-loss magnetostatic wave filters with ultra-wide frequency tunability
Yttrium iron garnet magnetostatic wave (MSW) radio frequency (RF) cavity filters are promising for sixth-generation (6G) communication systems due to their wide frequency tunability. However, the presence of severe spurious modes arising from the finite cavity dimensions severely degrades the filter performance. We present a half-cone transducer that spatially tailors spin wave excitation to selectively enhance the primary cavity modes comprising the MSW filter passband, while strongly suppress…

Double Supersolid Phase in a Bosonic t-J-V Model with Rydberg Atoms
Kuangjie Chen, Yang Qi, Zheng Yan, Xiaopeng Li
https://arxiv.org/abs/2506.16820 https:/…

Double Supersolid Phase in a Bosonic t-J-V Model with Rydberg Atoms
Recent advances in Rydberg tweezer arrays bring novel opportunities for programmable quantum simulations beyond previous capabilities. In this work, we investigate a bosonic t-J-V model currently realized with Rydberg atoms. Through large-scale quantum Monte Carlo simulations, we uncover an emergent double supersolid (DSS) phase with the coexistence of two superfluids and crystalline order. Tunable long-range tunneling and repulsive hole-hole interactions enable a rich phase diagram featuring a…

Towards a hybrid 3D transmon qubit with topological insulator-based Josephson junctions
Sheng-Wen Huang, Ramya Suresh, Jian Liao, Botao Du, Zachary Miles, Leonid P. Rokhinson, Yong P. Chen, Ruichao Ma
https://arxiv.org/abs/2506.18232

Towards a hybrid 3D transmon qubit with topological insulator-based Josephson junctions
Superconducting quantum circuits provide a versatile platform for studying quantum materials by leveraging precise microwave control and utilizing the tools of circuit quantum electrodynamics (QED). Hybrid circuit devices incorporating novel quantum materials could also lead to new qubit functionalities, such as gate tunability and noise resilience. Here, we report experimental progress towards a transmon-like qubit made with a superconductor-topological insulator-superconductor (S-TI-S) Joseph…

GRASP: Grouped Regression with Adaptive Shrinkage Priors
Shu Yu Tew, Daniel F. Schmidt, Mario Boley
https://arxiv.org/abs/2506.18092 https://

GRASP: Grouped Regression with Adaptive Shrinkage Priors
We introduce GRASP, a simple Bayesian framework for regression with grouped predictors, built on the normal beta prime (NBP) prior. The NBP prior is an adaptive generalization of the horseshoe prior with tunable hyperparameters that control tail behavior, enabling a flexible range of sparsity, from strong shrinkage to ridge-like regularization. Unlike prior work that introduced the group inverse-gamma gamma (GIGG) prior by decomposing the NBP prior into structured hierarchies, we show that dire…

Atomic-scale Frustrated Josephson Coupling and Multi-condensate Visualization in FeSe
Nileema Sharma, Matthew Toole, James McKenzie, Sheng Ran, Xiaolong Liu
https://arxiv.org/abs/2507.16758

Atomic-scale Frustrated Josephson Coupling and Multi-condensate Visualization in FeSe
In a Josephson junction involving multi-band superconductors, competition between inter-band and inter-junction Josephson coupling gives rise to frustration and spatial disjunction of superfluid densities among superconducting condensates. Such frustrated coupling manifests as quantum interference of Josephson currents from different tunneling channels and becomes tunable if channel transparency can be varied. To explore these unconventional effects in the prototypical $s^\pm$-wave superconduct…

Tunable Hybrid-Mode Coupler Enabling Strong Interactions between Transmons at Centimeter-Scale Distance
Jianwen Xu, Xiang Deng, Wen Zheng, Wenchang Yan, Tao Zhang, Zhenchuan Zhang, Wanli Huang, Xiaoyu Xia, Xudong Liao, Yu Zhang, Jie Zhao, Shaoxiong Li, Xinsheng Tan, Dong Lan, Yang Yu
https://arxiv.org/abs/2506.14128

Tunable Hybrid-Mode Coupler Enabling Strong Interactions between Transmons at Centimeter-Scale Distance
The transmon, a fabrication-friendly superconducting qubit, remains a leading candidate for scalable quantum computing. Recent advances in tunable couplers have accelerated progress toward high-performance quantum processors. However, extending coherent interactions beyond millimeter scales to enhance quantum connectivity presents a critical challenge. Here, we introduce a hybrid-mode coupler exploiting resonator-transmon hybridization to simultaneously engineer the two lowest-frequency mode, e…

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An Easily Tunable Approach to Robust and Sparse High-Dimensional Linear Regression
Takeyuki Sasai, Hironori Fujisawa
https://arxiv.org/abs/2506.12591 https…

An Easily Tunable Approach to Robust and Sparse High-Dimensional Linear Regression
Sparse linear regression methods such as Lasso require a tuning parameter that depends on the noise variance, which is typically unknown and difficult to estimate in practice. In the presence of heavy-tailed noise or adversarial outliers, this problem becomes more challenging. In this paper, we propose an estimator for robust and sparse linear regression that eliminates the need for explicit prior knowledge of the noise scale. Our method builds on the Huber loss and incorporates an iterative sc…

Electrostatic control of quantum phases in KTaO3-based planar constrictions
Jordan T. McCourt, Ethan G. Arnault, Merve Baksi, Samuel J. Poage, Salva Salmani-Rezaie, Divine P. Kumah, Kaveh Ahadi, Gleb Finkelstein
https://arxiv.org/abs/2506.18894

Electrostatic control of quantum phases in KTaO3-based planar constrictions
Two-dimensional electron gases (2DEGs) formed at complex oxide interfaces offer a unique platform to engineer quantum nanostructures. However, scalable fabrication of locally addressable devices in these materials remains challenging. Here, we demonstrate an efficient fabrication approach by patterning narrow constrictions in a superconducting KTaO3-based heterostructure. The constrictions are individually tunable via the coplanar side gates formed within the same 2DEG plane. Our technique leve…