Direct measurement of terahertz conductivity in a gated monolayer semiconductor

Kavli Affiliate: Feng Wang | First 5 Authors: Su-Di Chen, Qixin Feng, Wenyu Zhao, Ruishi Qi, Zuocheng Zhang | Summary: Two-dimensional semiconductors and their moir’e superlattices have emerged as important platforms for investigating correlated electrons. However, many key properties of these systems, such as the frequency-dependent conductivity, remain experimentally inaccessible because of the mesoscopic sample […]


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Preserving phase coherence and linearity in cat qubits with exponential bit-flip suppression

Kavli Affiliate: Oskar Painter | First 5 Authors: Harald Putterman, Kyungjoo Noh, Rishi N. Patel, Gregory A. Peairs, Gregory S. MacCabe | Summary: Cat qubits, a type of bosonic qubit encoded in a harmonic oscillator, can exhibit an exponential noise bias against bit-flip errors with increasing mean photon number. Here, we focus on cat qubits […]


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The multi-state geometry of shift current and polarization

Kavli Affiliate: Joel E. Moore | First 5 Authors: Alexander Avdoshkin, Johannes Mitscherling, Joel E. Moore, , | Summary: The quantum metric and Berry curvature capture essential properties of non-trivial Bloch states and underpin many fascinating phenomena. However, it becomes increasingly evident that a more comprehensive understanding of quantum state geometry is necessary to explain […]


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Theoretical insights into the role of lattice fluctuations on the excited behavior of lead halide perovskites

Kavli Affiliate: David T. Limmer | First 5 Authors: Yoonjae Park, Rohit Rana, Daniel Chabeda, Eran Rabani, David T. Limmer | Summary: Unravelling the role of charge-lattice interactions on the optoelectronic properties in lead halide perovskites is of great interest due to their unique photophysical properties. While there is broad consensus on the importance of […]


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Decoding the hidden dynamics of super-Arrhenius hydrogen diffusion in multi-principal element alloys via machine learning

Kavli Affiliate: Wei Gao | First 5 Authors: Fei Shuang, Yucheng Ji, Zixiong Wei, Chaofang Dong, Wei Gao | Summary: Understanding atomic hydrogen (H) diffusion in multi-principal element alloys (MPEAs) is essential for advancing clean energy technologies such as H transport, storage, and nuclear fusion applications. However, the vast compositional space and the intricate chemical […]


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Predicting User Stances from Target-Agnostic Information using Large Language Models

Kavli Affiliate: Wei Gao | First 5 Authors: Siyuan Brandon Loh, Liang Ze Wong, Prasanta Bhattacharya, Joseph Simons, Wei Gao | Summary: We investigate Large Language Models’ (LLMs) ability to predict a user’s stance on a target given a collection of his/her target-agnostic social media posts (i.e., user-level stance prediction). While we show early evidence […]


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Robust Salient Object Detection on Compressed Images Using Convolutional Neural Networks

Kavli Affiliate: Wei Gao | First 5 Authors: Guibiao Liao, Wei Gao, , , | Summary: Salient object detection (SOD) has achieved substantial progress in recent years. In practical scenarios, compressed images (CI) serve as the primary medium for data transmission and storage. However, scant attention has been directed towards SOD for compressed images using […]


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Hardware-efficient quantum error correction using concatenated bosonic qubits

Kavli Affiliate: Oskar Painter | First 5 Authors: Harald Putterman, Kyungjoo Noh, Connor T. Hann, Gregory S. MacCabe, Shahriar Aghaeimeibodi | Summary: In order to solve problems of practical importance, quantum computers will likely need to incorporate quantum error correction, where a logical qubit is redundantly encoded in many noisy physical qubits. The large physical-qubit […]


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Quantum resources of quantum and classical variational methods

Kavli Affiliate: Eliska Greplova | First 5 Authors: Thomas Spriggs, Arash Ahmadi, Bokai Chen, Eliska Greplova, | Summary: Variational techniques have long been at the heart of atomic, solid-state, and many-body physics. They have recently extended to quantum and classical machine learning, providing a basis for representing quantum states via neural networks. These methods generally […]


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Chiral superfluidity of helium-3 in the quasi-two-dimensional limit

Kavli Affiliate: Jeevak M. Parpia | First 5 Authors: Petri J. Heikkinen, Lev V. Levitin, Xavier Rojas, Angadjit Singh, Nathan Eng | Summary: Anisotropic pair breaking close to surfaces favors chiral superfluid $^3$He-A over time-reversal invariant $^3$He-B. Confining superfluid $^3$He into a cavity of height $D$ of the order of the Cooper pair size characterized […]


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