Hardware-Assisted Parameterized Circuit Execution

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Abhi D. Rajagopala, Akel Hashim, Neelay Fruitwala, Gang Huang, Yilun Xu | Summary: Standard compilers for quantum circuits decompose arbitrary single-qubit gates into a sequence of physical X(pi/2) pulses and virtual-Z phase gates. Consequently, many circuit classes implement different logic operations but have an equivalent structure of […]


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Status of Nano-ARPES endstation at BL07U of Shanghai Synchrotron Radiation Facility

Kavli Affiliate: Feng Wang | First 5 Authors: Han Gao, Hanbo Xiao, Feng Wang, Fangyuan Zhu, Meixiao Wang | Summary: In this article, we introduce the current status of the new NanoARPES endstation at BL07U of Shanghai Synchrotron Radiation Facility (SSRF), which facilitates the study of the electronic band structure of material systems with limited […]


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Towards a Unified Benchmark and Framework for Deep Learning-Based Prediction of Nuclear Magnetic Resonance Chemical Shifts

Kavli Affiliate: Feng Wang | First 5 Authors: Fanjie Xu, Wentao Guo, Feng Wang, Lin Yao, Hongshuai Wang | Summary: The study of structure-spectrum relationships is essential for spectral interpretation, impacting structural elucidation and material design. Predicting spectra from molecular structures is challenging due to their complex relationships. Herein, we introduce NMRNet, a deep learning […]


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Adsorption of Guanidinium Cations to the Air-Water Interface

Kavli Affiliate: David T. Limmer | First 5 Authors: Franky Bernal, Amro Dodin, Constantine Kyprianou, David T. Limmer, Richard J. Saykally | Summary: Combining Deep-UV second harmonic generation spectroscopy with molecular simulations, we confirm and quantify the specific adsorption of guanidinium cations to the air-water interface. Using a Langmuir analysis and measurements at multiple concentrations, […]


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Enhancing Uplift Modeling in Multi-Treatment Marketing Campaigns: Leveraging Score Ranking and Calibration Techniques

Kavli Affiliate: Ting Xu | First 5 Authors: Yoon Tae Park, Ting Xu, Mohamed Anany, , | Summary: Uplift modeling is essential for optimizing marketing strategies by selecting individuals likely to respond positively to specific marketing campaigns. This importance escalates in multi-treatment marketing campaigns, where diverse treatment is available and we may want to assign […]


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A Practical Introduction to Benchmarking and Characterization of Quantum Computers

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Akel Hashim, Long B. Nguyen, Noah Goss, Brian Marinelli, Ravi K. Naik | Summary: Rapid progress in quantum technology has transformed quantum computing and quantum information science from theoretical possibilities into tangible engineering challenges. Breakthroughs in quantum algorithms, quantum simulations, and quantum error correction are bringing useful […]


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Elucidating the mechanism of helium evaporation from liquid water

Kavli Affiliate: David T. Limmer | First 5 Authors: Kritanjan Polley, Kevin R. Wilson, David T. Limmer, , | Summary: We investigate the evaporation of trace amounts of helium solvated in liquid water using molecular dynamics simulations and theory. Consistent with experimental observations, we find a super-Maxwellian distribution of kinetic energies of evaporated helium. This […]


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Fine-Grained Building Function Recognition from Street-View Images via Geometry-Aware Semi-Supervised Learning

Kavli Affiliate: Xiang Zhang | First 5 Authors: Weijia Li, Jinhua Yu, Dairong Chen, Yi Lin, Runming Dong | Summary: In this work, we propose a geometry-aware semi-supervised method for fine-grained building function recognition. This method leverages the geometric relationships between multi-source data to improve the accuracy of pseudo labels in semi-supervised learning, extending the […]


Continue.. Fine-Grained Building Function Recognition from Street-View Images via Geometry-Aware Semi-Supervised Learning

Fine-Grained Building Function Recognition from Street-View Images via Geometry-Aware Semi-Supervised Learning

Kavli Affiliate: Xiang Zhang | First 5 Authors: Weijia Li, Jinhua Yu, Dairong Chen, Yi Lin, Runmin Dong | Summary: In this work, we propose a geometry-aware semi-supervised method for fine-grained building function recognition. This method leverages the geometric relationships between multi-source data to improve the accuracy of pseudo labels in semi-supervised learning, extending the […]


Continue.. Fine-Grained Building Function Recognition from Street-View Images via Geometry-Aware Semi-Supervised Learning

Fine-Grained Building Function Recognition from Street-View Images via Geometry-Aware Semi-Supervised Learning

Kavli Affiliate: Xiang Zhang | First 5 Authors: Weijia Li, Jinhua Yu, Dairong Chen, Yi Lin, Runmin Dong | Summary: In this work, we propose a geometry-aware semi-supervised framework for fine-grained building function recognition, utilizing geometric relationships among multi-source data to enhance pseudo-label accuracy in semi-supervised learning, broadening its applicability to various building function categorization […]


Continue.. Fine-Grained Building Function Recognition from Street-View Images via Geometry-Aware Semi-Supervised Learning