Transition Path and Interface Sampling of Stochastic Schrödinger Dynamics

Kavli Affiliate: David T. Limmer | First 5 Authors: Robson Christie, Peter G. Bolhuis, David T. Limmer, , | Summary: We study rare transitions in Markovian open quantum systems driven with Gaussian noise, applying transition path and interface sampling methods to trajectories generated by stochastic Schr"odinger dynamics. Interface and path sampling offer insights into rare […]


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Orbital-spin Locking and its Optical Signatures in Altermagnets

Kavli Affiliate: Joel E. Moore | First 5 Authors: Marc Vila, Veronika Sunko, Joel E. Moore, , | Summary: Altermagnets, magnetic materials with zero magnetization and spin-split band structure, have gained tremendous attention recently for their rich physics and potential applications. Here, we report on a microscopic tight-binding model that unveils a unique coupling between […]


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Hybrid cat-transmon architecture for scalable, hardware-efficient quantum error correction

Kavli Affiliate: Oskar Painter | First 5 Authors: Connor T. Hann, Kyungjoo Noh, Harald Putterman, Matthew H. Matheny, Joseph K. Iverson | Summary: Dissipative cat qubits are a promising physical platform for quantum computing, since their large noise bias can enable more hardware-efficient quantum error correction. In this work we theoretically study the long-term prospects […]


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Quantum optimal control of superconducting qubits based on machine-learning characterization

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Elie Genois, Noah J. Stevenson, Noah Goss, Irfan Siddiqi, Alexandre Blais | Summary: Implementing fast and high-fidelity quantum operations using open-loop quantum optimal control relies on having an accurate model of the quantum dynamics. Any deviations between this model and the complete dynamics of the device, such […]


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Morphogenesis of Spin Cycloids in a Non-collinear Antiferromagnet

Kavli Affiliate: Darrell G. Schlom | First 5 Authors: Shashank Kumar Ojha, Pratap Pal, Sergei Prokhorenko, Sajid Husain, Maya Ramesh | Summary: Pattern formation in spin systems with continuous-rotational symmetry (CRS) provides a powerful platform to study emergent complex magnetic phases and topological defects in condensed-matter physics. However, its understanding and correlation with unconventional magnetic […]


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Superposition- and interference-induced optical spectrum distortion in the figure-9 fiber laser

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Guochao Wang, Kangrui Chang, Haobin Zheng, Yongzhuang Zhou | Summary: The spectrum of the output pulses from the figure-9 laser typically exhibits more distortion than the spectra from mode-locked lasers based on other saturable absorbers and the spectrum of its intracavity pulses. Here, we demonstrate […]


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A simple accurate way to model noise-seeded ultrafast nonlinear processes

Kavli Affiliate: Frank Wise | First 5 Authors: Yi-Hao Chen, Frank Wise, , , | Summary: Noise can play an important role in nonlinear pulse propagation. It is not only the origin of fluctuations in supercontinuum but can also determine the generated signal amplitude and phase, as seen in phenomena such as noise-seeded four-wave mixing […]


Continue.. A simple accurate way to model noise-seeded ultrafast nonlinear processes

A simple accurate way to model noise-seeded ultrafast nonlinear processes

Kavli Affiliate: Frank Wise | First 5 Authors: Yi-Hao Chen, Frank Wise, , , | Summary: Noise can play an important role in nonlinear pulse propagation. It is not only the origin of fluctuations in supercontinuum but can also determine the generated signal amplitude and phase, as seen in phenomena such as noise-seeded four-wave mixing […]


Continue.. A simple accurate way to model noise-seeded ultrafast nonlinear processes

EACO-RAG: Edge-Assisted and Collaborative RAG with Adaptive Knowledge Update

Kavli Affiliate: Feng Wang | First 5 Authors: Jiaxing Li, Chi Xu, Lianchen Jia, Feng Wang, Cong Zhang | Summary: Large Language Models are revolutionizing Web, mobile, and Web of Things systems, driving intelligent and scalable solutions. However, as Retrieval-Augmented Generation (RAG) systems expand, they encounter significant challenges related to scalability, including increased delay and […]


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EACO-RAG: Towards Distributed Tiered LLM Deployment using Edge-Assisted and Collaborative RAG with Adaptive Knowledge Update

Kavli Affiliate: Feng Wang | First 5 Authors: Jiaxing Li, Chi Xu, Lianchen Jia, Feng Wang, Cong Zhang | Summary: Large language models (LLMs) have demonstrated impressive capabilities in language tasks, but they require high computing power and rely on static knowledge. To overcome these limitations, Retrieval-Augmented Generation (RAG) incorporates up-to-date external information into LLMs […]


Continue.. EACO-RAG: Towards Distributed Tiered LLM Deployment using Edge-Assisted and Collaborative RAG with Adaptive Knowledge Update