Quasi-Probabilistic Readout Correction of Mid-Circuit Measurements for Adaptive Feedback via Measurement Randomized Compiling

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Akel Hashim, Arnaud Carignan-Dugas, Larry Chen, Christian Juenger, Neelay Fruitwala | Summary: Quantum measurements are a fundamental component of quantum computing. However, on modern-day quantum computers, measurements can be more error prone than quantum gates, and are susceptible to non-unital errors as well as non-local correlations due […]


Continue.. Quasi-Probabilistic Readout Correction of Mid-Circuit Measurements for Adaptive Feedback via Measurement Randomized Compiling

Quasi-Probabilistic Readout Correction of Mid-Circuit Measurements for Adaptive Feedback via Measurement Randomized Compiling

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Akel Hashim, Arnaud Carignan-Dugas, Larry Chen, Christian Juenger, Neelay Fruitwala | Summary: Quantum measurements are a fundamental component of quantum computing. However, on modern-day quantum computers, measurements can be more error prone than quantum gates, and are susceptible to non-unital errors as well as non-local correlations due […]


Continue.. Quasi-Probabilistic Readout Correction of Mid-Circuit Measurements for Adaptive Feedback via Measurement Randomized Compiling

Quasi-Probabilistic Readout Correction of Mid-Circuit Measurements for Adaptive Feedback via Measurement Randomized Compiling

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Akel Hashim, Arnaud Carignan-Dugas, Larry Chen, Christian Juenger, Neelay Fruitwala | Summary: Quantum measurements are a fundamental component of quantum computing. However, on modern-day quantum computers, measurements can be more error prone than quantum gates, and are susceptible to nonunital errors as well as non-local correlations due […]


Continue.. Quasi-Probabilistic Readout Correction of Mid-Circuit Measurements for Adaptive Feedback via Measurement Randomized Compiling

Gemini: A Family of Highly Capable Multimodal Models

Kavli Affiliate: Felix Fischer | First 5 Authors: Gemini Team, Rohan Anil, Sebastian Borgeaud, Yonghui Wu, Jean-Baptiste Alayrac | Summary: This report introduces a new family of multimodal models, Gemini, that exhibit remarkable capabilities across image, audio, video, and text understanding. The Gemini family consists of Ultra, Pro, and Nano sizes, suitable for applications ranging […]


Continue.. Gemini: A Family of Highly Capable Multimodal Models

Gemini: A Family of Highly Capable Multimodal Models

Kavli Affiliate: Felix Fischer | First 5 Authors: Gemini Team, Rohan Anil, Sebastian Borgeaud, Jean-Baptiste Alayrac, Jiahui Yu | Summary: This report introduces a new family of multimodal models, Gemini, that exhibit remarkable capabilities across image, audio, video, and text understanding. The Gemini family consists of Ultra, Pro, and Nano sizes, suitable for applications ranging […]


Continue.. Gemini: A Family of Highly Capable Multimodal Models

MM-TTS: Multi-modal Prompt based Style Transfer for Expressive Text-to-Speech Synthesis

Kavli Affiliate: Feng Wang | First 5 Authors: Wenhao Guan, Yishuang Li, Tao Li, Hukai Huang, Feng Wang | Summary: The style transfer task in Text-to-Speech refers to the process of transferring style information into text content to generate corresponding speech with a specific style. However, most existing style transfer approaches are either based on […]


Continue.. MM-TTS: Multi-modal Prompt based Style Transfer for Expressive Text-to-Speech Synthesis

Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions

Kavli Affiliate: Joel Moore | First 5 Authors: Yuri Alexeev, Maximilian Amsler, Paul Baity, Marco Antonio Barroca, Sanzio Bassini | Summary: Computational models are an essential tool for the design, characterization, and discovery of novel materials. Hard computational tasks in materials science stretch the limits of existing high-performance supercomputing centers, consuming much of their simulation, […]


Continue.. Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions

Efficient Up-Conversion in CsPbBr3 Nanocrystals via Phonon-Driven Exciton-Polaron Formation

Kavli Affiliate: Paul Alivisatos | First 5 Authors: Abdullah S. Abbas, Beiye C. Li, Richard D. Schaller, Vitali B. Prakapenka, Stella Chariton | Summary: Lead halide perovskite nanocrystals demonstrate efficient up-conversion, although the precise mechanism remains a subject of active research. This study utilizes steady-state and time-resolved spectroscopy methods to unravel the mechanism driving the […]


Continue.. Efficient Up-Conversion in CsPbBr3 Nanocrystals via Phonon-Driven Exciton-Polaron Formation

In situ X-ray scattering reveals coarsening rates of superlattices self-assembled from electrostatically stabilized metal nanocrystals depend non-monotonically on driving force

Kavli Affiliate: Naomi S. Ginsberg | First 5 Authors: Christian P. N. Tanner, James K. Utterback, Joshua Portner, Igor Coropceanu, Avishek Das | Summary: Self-assembly of colloidal nanocrystals (NCs) into superlattices (SLs) is an appealing strategy to design hierarchically organized materials with new functionalities. Mechanistic studies are still needed to uncover the design principles for […]


Continue.. In situ X-ray scattering reveals coarsening rates of superlattices self-assembled from electrostatically stabilized metal nanocrystals depend non-monotonically on driving force

In situ X-ray scattering reveals coarsening rates of superlattices self-assembled from electrostatically stabilized metal nanocrystals depend non-monotonically on driving force

Kavli Affiliate: David T. Limmer | First 5 Authors: Christian P. N. Tanner, James K. Utterback, Joshua Portner, Igor Coropceanu, Avishek Das | Summary: Self-assembly of colloidal nanocrystals (NCs) into superlattices (SLs) is an appealing strategy to design hierarchically organized materials with new functionalities. Mechanistic studies are still needed to uncover the design principles for […]


Continue.. In situ X-ray scattering reveals coarsening rates of superlattices self-assembled from electrostatically stabilized metal nanocrystals depend non-monotonically on driving force