Fast Unconditional Reset and Leakage Reduction of a Tunable Superconducting Qubit via an Engineered Dissipative Bath

Kavli Affiliate: Oskar Painter | First 5 Authors: Gihwan Kim, Andreas Butler, Vinicius S. Ferreira, Xueyue Zhang, Alex Hadley | Summary: Rapid and accurate initialization of qubits, reset, is a crucial building block for various tasks in quantum information processing, such as quantum error-correction and estimation of statistics of noisy quantum devices with many qubits. […]


Continue.. Fast Unconditional Reset and Leakage Reduction of a Tunable Superconducting Qubit via an Engineered Dissipative Bath

High temperature diffusion enabled epitaxy of the Ti-O system

Kavli Affiliate: Joseph Falson | First 5 Authors: Jeong Rae Kim, Sandra Glotzer, Adrian Llanos, Salva Salmani-Rezaie, Joseph Falson | Summary: High temperatures promote kinetic processes which can drive crystal synthesis towards ideal thermodynamic conditions, thereby realizing samples of superior quality. While accessing very high temperatures in thin-film epitaxy is becoming increasingly accessible through laser-based […]


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Towards Nanoscale and Element-Specific Lattice Temperature Measurements using Core-Loss Electron Energy-Loss Spectroscopy

Kavli Affiliate: Scott K. Cushing | First 5 Authors: Levi D. Palmer, Wonseok Lee, Javier Fajardo, Jr., A. Alec Talin, Thomas E. Gage | Summary: Measuring nanoscale local temperatures, particularly in vertically integrated and multi-component systems, remains challenging. Spectroscopic techniques like X-ray absorption and core-loss electron energy-loss spectroscopy (EELS) are sensitive to lattice temperature, but […]


Continue.. Towards Nanoscale and Element-Specific Lattice Temperature Measurements using Core-Loss Electron Energy-Loss Spectroscopy

Dynamic Competition Between Orbital and Exchange Interactions Selectively Localizes Electrons and Holes Through Polarons

Kavli Affiliate: Scott K. Cushing | First 5 Authors: Jocelyn L. Mendes, Hyun Jun Shin, Jae Yeon Seo, Nara Lee, Young Jai Choi | Summary: Controlling the effects of photoexcited polarons in transition metal oxides can enable the long timescale charge separation necessary for renewable energy applications as well as controlling new quantum phases through […]


Continue.. Dynamic Competition Between Orbital and Exchange Interactions Selectively Localizes Electrons and Holes Through Polarons

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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Ultrafast single-photon detection using nanophotonic parametric amplifiers

Kavli Affiliate: Alireza Marandi | First 5 Authors: Elina Sendonaris, James Williams, Rajveer Nehra, Robert Gray, Ryoto Sekine | Summary: Integrated photonic quantum information processing (QIP) has advanced rapidly due to progress in various nanophotonic platforms. Single photon detectors have been the subject of intense study due to their ubiquity in QIP systems, yet many […]


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Ultrafast single-photon detection using nanophotonic parametric amplifiers

Kavli Affiliate: Alireza Marandi | First 5 Authors: Elina Sendonaris, James Williams, Rajveer Nehra, Robert Gray, Ryoto Sekine | Summary: Integrated photonic quantum information processing (QIP) has advanced rapidly due to progress in various nanophotonic platforms. Single photon detectors have been the subject of intense study due to their ubiquity in QIP systems, yet many […]


Continue.. Ultrafast single-photon detection using nanophotonic parametric amplifiers

EPContrast: Effective Point-level Contrastive Learning for Large-scale Point Cloud Understanding

Kavli Affiliate: Wei Gao | First 5 Authors: Zhiyi Pan, Guoqing Liu, Wei Gao, Thomas H. Li, | Summary: The acquisition of inductive bias through point-level contrastive learning holds paramount significance in point cloud pre-training. However, the square growth in computational requirements with the scale of the point cloud poses a substantial impediment to the […]


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SimLayerKV: A Simple Framework for Layer-Level KV Cache Reduction

Kavli Affiliate: Wei Gao | First 5 Authors: Xuan Zhang, Cunxiao Du, Chao Du, Tianyu Pang, Wei Gao | Summary: Recent advancements in large language models (LLMs) have extended their capabilities to handle long contexts. However, increasing the number of model layers and the length of input sequences significantly escalates the memory required to store […]


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LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation

Kavli Affiliate: Wei Gao | First 5 Authors: Xuan Zhang, Fengzhuo Zhang, Cunxiao Du, Chao Du, Tianyu Pang | Summary: Scaling language models to handle longer contexts introduces substantial memory challenges due to the growing cost of key-value (KV) caches. Motivated by the efficiency gains of hybrid models and the broad availability of pretrained large […]


Continue.. LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation