Coherent Microwave Control of Optically Addressable Donor Qubits in ZnO

Posted by klaurent Caltech

Kavli Affiliate: Joseph Falson | Summary:Optically addressable shallow donors in ZnO combine efficient spin-selective optical transitions with the potential for long spin coherence in an isotopically purifiable host lattice, making them an attractive platform for spin-photon quantum technologies. A key missing capability, however, has been coherent control beyond the small-angle rotations accessible with ultrafast optical […]


Continue.. Coherent Microwave Control of Optically Addressable Donor Qubits in ZnO

Spotlight: Synergizing Seed Exploration and Spot GPUs for DiT RL Post-Training

Posted by klaurent Caltech

Kavli Affiliate: Wei Gao| Summary:Reinforcement learning (RL) post-training of Diffusion Transformers (DiTs) is prohibitively expensive, requiring thousands of high-end GPUs. Existing works explore two directions to reduce cost: seed exploration improves training convergence by selecting high-contrast samples, yet adds compute to the critical path; spot GPUs offer 69–77% lower cost, yet sit idle during training […]


Continue.. Spotlight: Synergizing Seed Exploration and Spot GPUs for DiT RL Post-Training

Efficient Image Registration for Ultrasound Localization Microscopy by Obtaining Gradients via Integration Across Iterations

Posted by klaurent UCAS

Kavli Affiliate: Biao Huang | Summary:Tissue motion correction through image registration is essential for ultrasound localization microscopy (ULM). Parametric image registration is commonly formulated as an optimization problem where motion parameters are iteratively updated to maximize image similarity, and used optimization algorithms typically rely on gradient information, the explicit evaluation of which can become computationally […]


Continue.. Efficient Image Registration for Ultrasound Localization Microscopy by Obtaining Gradients via Integration Across Iterations