Evaluation of transition rates from nonequilibrium instantons

Kavli Affiliate: David T. Limmer | First 5 Authors: Eric R. Heller, David T. Limmer, , , | Summary: Equilibrium rate theories play a crucial role in understanding rare, reactive events. However, they are inapplicable to a range of irreversible processes in systems driven far from thermodynamic equilibrium like active and biological matter. Here, we […]


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Efficient Generation of Multi-partite Entanglement between Non-local Superconducting Qubits using Classical Feedback

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Akel Hashim, Ming Yuan, Pranav Gokhale, Larry Chen, Christian Juenger | Summary: Quantum entanglement is one of the primary features which distinguishes quantum computers from classical computers. In gate-based quantum computing, the creation of entangled states or the distribution of entanglement across a quantum processor often requires […]


Continue.. Efficient Generation of Multi-partite Entanglement between Non-local Superconducting Qubits using Classical Feedback

Efficient Generation of Multi-partite Entanglement between Non-local Superconducting Qubits using Classical Feedback

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Akel Hashim, Ming Yuan, Pranav Gokhale, Larry Chen, Christian Juenger | Summary: Quantum entanglement is one of the primary features which distinguishes quantum computers from classical computers. In gate-based quantum computing, the creation of entangled states or the distribution of entanglement across a quantum processor often requires […]


Continue.. Efficient Generation of Multi-partite Entanglement between Non-local Superconducting Qubits using Classical Feedback

Bringing Textual Prompt to AI-Generated Image Quality Assessment

Kavli Affiliate: Wei Gao | First 5 Authors: Bowen Qu, Haohui Li, Wei Gao, , | Summary: AI-Generated Images (AGIs) have inherent multimodal nature. Unlike traditional image quality assessment (IQA) on natural scenarios, AGIs quality assessment (AGIQA) takes the correspondence of image and its textual prompt into consideration. This is coupled in the ground truth […]


Continue.. Bringing Textual Prompt to AI-Generated Image Quality Assessment

Bringing Textual Prompt to AI-Generated Image Quality Assessment

Kavli Affiliate: Wei Gao | First 5 Authors: Bowen Qu, Haohui Li, Wei Gao, , | Summary: AI-Generated Images (AGIs) have inherent multimodal nature. Unlike traditional image quality assessment (IQA) on natural scenarios, AGIs quality assessment (AGIQA) takes the correspondence of image and its textual prompt into consideration. This is coupled in the ground truth […]


Continue.. Bringing Textual Prompt to AI-Generated Image Quality Assessment

Qubit teleportation between a memory-compatible photonic time-bin qubit and a solid-state quantum network node

Kavli Affiliate: Wolfgang Tittel | First 5 Authors: Mariagrazia Iuliano, Marie-Christine Slater, Arian J. Stolk, Matthew J. Weaver, Tanmoy Chakraborty | Summary: We report on a quantum interface linking a diamond NV center quantum network node and 795nm photonic time-bin qubits compatible with Thulium and Rubidium quantum memories. The interface makes use of two-stage low-noise […]


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Non-empirical prediction of the length-dependent ionization potential in molecular chains

Kavli Affiliate: Jeffrey B. Neaton | First 5 Authors: Guy Ohad, Michal Hartstein, Tim Gould, Jeffrey B. Neaton, Leeor Kronik | Summary: The ionization potential of molecular chains is well-known to be a tunable nano-scale property that exhibits clear quantum confinement effects. State-of-the-art methods can accurately predict the ionization potential in the small molecule limit […]


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Adaptive Loss Weighting for Machine Learning Interatomic Potentials

Kavli Affiliate: Wei Gao | First 5 Authors: Daniel Ocampoa, Daniela Possob, Reza Namakiana, Wei Gao, | Summary: Training machine learning interatomic potentials often requires optimizing a loss function composed of three variables: potential energies, forces, and stress. The contribution of each variable to the total loss is typically weighted using fixed coefficients. Identifying these […]


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Testing the $mathbfΛ$CDM Cosmological Model with Forthcoming Measurements of the Cosmic Microwave Background with SPT-3G

Kavli Affiliate: Chao-Lin Kuo | First 5 Authors: K. Prabhu, S. Raghunathan, M. Millea, G. Lynch, P. A. R. Ade | Summary: We forecast constraints on cosmological parameters enabled by three surveys conducted with SPT-3G, the third-generation camera on the South Pole Telescope. The surveys cover separate regions of 1500, 2650, and 6000 ${rm deg}^{2}$ […]


Continue.. Testing the $mathbfΛ$CDM Cosmological Model with Forthcoming Measurements of the Cosmic Microwave Background with SPT-3G