Quantum Circuit Switching with One-Way Repeaters in Star Networks

Kavli Affiliate: Stephanie Wehner | First 5 Authors: Álvaro G. Iñesta, Hyeongrak Choi, Dirk Englund, Stephanie Wehner, | Summary: Distributing quantum states reliably among distant locations is a key challenge in the field of quantum networks. One-way quantum networks address this by using one-way communication and quantum error correction. Here, we analyze quantum circuit switching […]


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Probing Short-Range Correlations in the van der Waals Magnet CrSBr by Small-Angle Neutron Scattering

Kavli Affiliate: Herre S. J. Van Der Zant | First 5 Authors: Andrey Rybakov, Carla Boix-Constant, Diego Alba Venero, Herre S. J. van der Zant, Samuel Mañas-Valero | Summary: The layered metamagnet CrSBr offers a rich interplay between magnetic, optical and electrical properties that can be extended down to the two-dimensional (2D) limit. Despite the […]


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Self-dispersion-managed adiabatic frequency conversion

Kavli Affiliate: Jeffrey Moses | First 5 Authors: Dylan Heberle, Noah Flemens, Connor Davis, Philippe Lassonde, Adrien Leblanc | Summary: Dispersion management of few-cycle pulses is crucial for ultrafast optics and photonics. Often, nontrivial dispersion is compensated using complex optical systems or minimized through careful design of waveguides. Here, we present dispersion-managed adiabatic frequency conversion […]


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Large-scale time-multiplexed nanophotonic parametric oscillators

Kavli Affiliate: Alireza Marandi | First 5 Authors: Robert M. Gray, Ryoto Sekine, Luis Ledezma, Gordon H. Y. Li, Selina Zhou | Summary: Arrays of nonlinear resonators offer a fertile ground for a wide range of complex phenomena and opportunities for advanced photonic sensing and computing. Recently, significant attention has focused on studying coupled resonators […]


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On The Implicit Large Eddy Simulation of Turbomachinery Flows Using The Flux Reconstruction Method

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, , , , | Summary: A high order flux reconstruction solver has been developed and validated to perform implicit large eddy simulations of industrially representative turbomachinery flows. The T106c low-pressure turbine and VKI LS89 high-pressure turbine cases are studied. The solver uses the Rusanov Riemann […]


Continue.. On The Implicit Large Eddy Simulation of Turbomachinery Flows Using The Flux Reconstruction Method

On The Implicit Large Eddy Simulation of Turbomachinery Flows Using The Flux Reconstruction Method

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, , , , | Summary: A high-order flux reconstruction solver has been developed and validated to perform implicit large-eddy simulations of industrially representative turbomachinery flows. The T106c low-pressure turbine and VKI LS89 high-pressure turbine cases are studied. The solver uses the Rusanov Riemann solver to […]


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Quantum Parity Detectors: a qubit based particle detection scheme with meV thresholds for rare-event searches

Kavli Affiliate: Sunil R. Golwala | First 5 Authors: Karthik Ramanathan, John E. Parker, Lalit M. Joshi, Andrew D. Beyer, Pierre M. Echternach | Summary: The next generation of rare-event searches, such as those aimed at determining the nature of particle dark matter or in measuring fundamental neutrino properties, will benefit from particle detectors with […]


Continue.. Quantum Parity Detectors: a qubit based particle detection scheme with meV thresholds for rare-event searches

Quantum Parity Detectors: a qubit based particle detection scheme with meV thresholds for rare-event searches

Kavli Affiliate: Sunil R. Golwala | First 5 Authors: Karthik Ramanathan, John E. Parker, Lalit M. Joshi, Andrew D. Beyer, Pierre M. Echternach | Summary: The next generation of rare-event searches, such as those aimed at determining the nature of particle dark matter or in measuring fundamental neutrino properties, will benefit from particle detectors with […]


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UnitNorm: Rethinking Normalization for Transformers in Time Series

Kavli Affiliate: Xiang Zhang | First 5 Authors: Nan Huang, Christian Kümmerle, Xiang Zhang, , | Summary: Normalization techniques are crucial for enhancing Transformer models’ performance and stability in time series analysis tasks, yet traditional methods like batch and layer normalization often lead to issues such as token shift, attention shift, and sparse attention. We […]


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Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification

Kavli Affiliate: Xiang Zhang | First 5 Authors: Yihe Wang, Nan Huang, Taida Li, Yujun Yan, Xiang Zhang | Summary: Medical time series data, such as Electroencephalography (EEG) and Electrocardiography (ECG), play a crucial role in healthcare, such as diagnosing brain and heart diseases. Existing methods for medical time series classification primarily rely on handcrafted […]


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