Baseband control of single-electron silicon spin qubits in two dimensions

Posted by dbos Delft

Kavli Affiliate: Giordano Scappucci | First 5 Authors: Florian K. Unseld, Brennan Undseth, Eline Raymenants, Yuta Matsumoto, Saurabh Karwal | Summary: Micromagnet-enabled electric-dipole spin resonance (EDSR) is an established method of high-fidelity single-spin control in silicon. However, the resulting architectural limitations have restrained silicon quantum processors to one-dimensional arrays, and heating effects from the associated […]


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Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection

Posted by dbos Berkeley

Kavli Affiliate: Feng Wang | First 5 Authors: Chaoda Zheng, Feng Wang, Naiyan Wang, Shuguang Cui, Zhen Li | Summary: While 3D object bounding box (bbox) representation has been widely used in autonomous driving perception, it lacks the ability to capture the precise details of an object’s intrinsic geometry. Recently, occupancy has emerged as a […]


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Joint Mode Selection and Beamforming Designs for Hybrid-RIS Assisted ISAC Systems

Posted by dbos Berkeley

Kavli Affiliate: Feng Wang | First 5 Authors: Yingbin Lin, Feng Wang, Xiao Zhang, Guojun Han, Vincent K. N. Lau | Summary: This paper considers a hybrid reconfigurable intelligent surface (RIS) assisted integrated sensing and communication (ISAC) system, where each RIS element can flexibly switch between the active and passive modes. Subject to the signal-to-interference-plus-noise […]


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Exciton thermalization dynamics in monolayer MoS2: a first-principles Boltzmann equation study

Posted by dbos Berkeley

Kavli Affiliate: Jeffrey B. Neaton | First 5 Authors: Yang-hao Chan, Jonah B. Haber, Mit H. Naik, Steven G. Louie, Jeffrey B. Neaton | Summary: Understanding exciton thermalization is critical for optimizing optoelectronic and photocatalytic processes in many materials. However, it is hard to access the dynamics of such processes experimentally, especially on systems such […]


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Two-Carrier Model-Fitting of Hall Effect in Semiconductors with Dual-Band Occupation: A Case Study in GaN Two-Dimensional Hole Gas

Posted by dbos Cornell

Kavli Affiliate: Grace Xing | First 5 Authors: Joseph E. Dill, Chuan F. C. Chang, Debdeep Jena, Huili Grace Xing, | Summary: We develop a two-carrier Hall effect model fitting algorithm to analyze temperature-dependent magnetotransport measurements of a high-density ($sim4times10^{13}$ cm$^2$/Vs) polarization-induced two-dimensional hole gas (2DHG) in a GaN/AlN heterostructure. Previous transport studies in GaN […]


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Gauge-invariant projector calculus for quantum state geometry and applications to observables in crystals

Posted by dbos Berkeley

Kavli Affiliate: Joel E. Moore | First 5 Authors: Johannes Mitscherling, Alexander Avdoshkin, Joel E. Moore, , | Summary: The importance of simple geometrical invariants, such as the Berry curvature and quantum metric, constructed from the Bloch states of a crystal has become well-established over four decades of research. More complex aspects of geometry emerge […]


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Machine Learned Potential for High-Throughput Phonon Calculations of Metal-Organic Frameworks

Posted by dbos Berkeley

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Alin Marin Elena, Prathami Divakar Kamath, Théo Jaffrelot Inizan, Andrew S. Rosen, Federica Zanca | Summary: Metal-organic frameworks (MOFs) are highly porous and versatile materials studied extensively for applications such as carbon capture and water harvesting. However, computing phonon-mediated properties in MOFs, like thermal expansion and […]


Continue.. Machine Learned Potential for High-Throughput Phonon Calculations of Metal-Organic Frameworks

Machine Learned Potential for High-Throughput Phonon Calculations of Metal-Organic Frameworks

Posted by dbos Berkeley

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Alin Marin Elena, Prathami Divakar Kamath, Théo Jaffrelot Inizan, Andrew S. Rosen, Federica Zanca | Summary: Metal-organic frameworks (MOFs) are highly porous and versatile materials studied extensively for applications such as carbon capture and water harvesting. However, computing phonon-mediated properties in MOFs, like thermal expansion and […]


Continue.. Machine Learned Potential for High-Throughput Phonon Calculations of Metal-Organic Frameworks

PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation

Posted by Caltech

Kavli Affiliate: Wei Gao | First 5 Authors: Qiyao Xue, Xiangyu Yin, Boyuan Yang, Wei Gao, | Summary: Text-to-video (T2V) generation has been recently enabled by transformer-based diffusion models, but current T2V models lack capabilities in adhering to the real-world common knowledge and physical rules, due to their limited understanding of physical realism and deficiency […]


Continue.. PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation