Zobrazeno 1 - 10
of 7 081
pro vyhledávání: '"Smith, Kevin A."'
In multi-view medical diagnosis, deep learning-based models often fuse information from different imaging perspectives to improve diagnostic performance. However, existing approaches are prone to overfitting and rely heavily on view-specific features
Externí odkaz:
http://arxiv.org/abs/2410.15847
We introduce Learning from Offline Foundation Features with Tensor Augmentations (LOFF-TA), an efficient training scheme designed to harness the capabilities of foundation models in limited resource settings where their direct development is not feas
Externí odkaz:
http://arxiv.org/abs/2410.02527
Autor:
Crane, Eleanor, Smith, Kevin C., Tomesh, Teague, Eickbusch, Alec, Martyn, John M., Kühn, Stefan, Funcke, Lena, DeMarco, Michael Austin, Chuang, Isaac L., Wiebe, Nathan, Schuckert, Alexander, Girvin, Steven M.
We develop a hybrid oscillator-qubit processor framework for quantum simulation of strongly correlated fermions and bosons that avoids the boson-to-qubit mapping overhead encountered in qubit hardware. This framework gives exact decompositions of par
Externí odkaz:
http://arxiv.org/abs/2409.03747
Autor:
Liu, Yuan, Martyn, John M., Sinanan-Singh, Jasmine, Smith, Kevin C., Girvin, Steven M., Chuang, Isaac L.
Signal processing stands as a pillar of classical computation and modern information technology, applicable to both analog and digital signals. Recently, advancements in quantum information science have suggested that quantum signal processing (QSP)
Externí odkaz:
http://arxiv.org/abs/2408.14729
Autor:
Liu, Yuan, Singh, Shraddha, Smith, Kevin C., Crane, Eleanor, Martyn, John M., Eickbusch, Alec, Schuckert, Alexander, Li, Richard D., Sinanan-Singh, Jasmine, Soley, Micheline B., Tsunoda, Takahiro, Chuang, Isaac L., Wiebe, Nathan, Girvin, Steven M.
Quantum computing with discrete variable (DV, qubit) hardware is approaching the large scales necessary for computations beyond the reach of classical computers. However, important use cases such as quantum simulations of physical models containing b
Externí odkaz:
http://arxiv.org/abs/2407.10381
Autor:
Cao, Yifeng, Tan, Qishuo, Guo, Yucheng, Vieira, Clóvis Guerim, Mazzon, Mário S. C., Laverock, Jude, Russo, Nicholas, Gao, Hongze, Jozwiak, Chris, Bostwick, Aaron, Rotenberg, Eli, Guo, Jinghua, Yi, Ming, Matos, Matheus J. S., Ling, Xi, Smith, Kevin E.
This study presents a comprehensive analysis of the band structure in NiPS$_3$, a van der Waals layered antiferromagnet, utilizing high-resolution synchrotron-based angle-resolved photoemission spectroscopy (ARPES) and corroborative density functiona
Externí odkaz:
http://arxiv.org/abs/2407.02715
Autor:
Cao, Yifeng, Russo, Nicholas, Tan, Qishuo, Ling, Xi, Guo, Jinghua, Chuang, Yi-de, Smith, Kevin E.
The layered van der Waals trichalcogenide NiPS3 has attracted widespread attention due to its unique optical, magnetic, and electronic properties. The complexity of NiPS3 itself, however, has also led to ongoing debates regarding its characteristics
Externí odkaz:
http://arxiv.org/abs/2407.01881
Autor:
Cherian, Anoop, Peng, Kuan-Chuan, Lohit, Suhas, Matthiesen, Joanna, Smith, Kevin, Tenenbaum, Joshua B.
Recent years have seen a significant progress in the general-purpose problem solving abilities of large vision and language models (LVLMs), such as ChatGPT, Gemini, etc.; some of these breakthroughs even seem to enable AI models to outperform human a
Externí odkaz:
http://arxiv.org/abs/2406.15736
The presence of motion artifacts in magnetic resonance imaging (MRI) scans poses a significant challenge, where even minor patient movements can lead to artifacts that may compromise the scan's utility.This paper introduces MAsked MOtion Correction (
Externí odkaz:
http://arxiv.org/abs/2405.14590
Adaptive quantum circuits, which combine local unitary gates, midcircuit measurements, and feedforward operations, have recently emerged as a promising avenue for efficient state preparation, particularly on near-term quantum devices limited to shall
Externí odkaz:
http://arxiv.org/abs/2404.16083