Zobrazeno 1 - 10
of 4 427
pro vyhledávání: '"Nghiem P"'
Autor:
Nghiem, Nhat A.
We describe a simple method for simulating time-independent Hamiltonian $H$ that could be decomposed as $H = \sum_{i=1}^m H_i$ where each $H_i$ can be efficiently simulated. Approaches relying on product formula generally work by splitting the evolut
Externí odkaz:
http://arxiv.org/abs/2410.15256
Autor:
Nghiem, Nhat A.
We propose a new method for simulating certain type of time-dependent Hamiltonian $H(t) = \sum_{i=1}^m \gamma_i(t) H_i$ where $\gamma_i(t)$ (and its higher order derivatives) is bounded, computable function of time $t$, and each $H_i$ is time-indepen
Externí odkaz:
http://arxiv.org/abs/2410.14418
Autor:
Nghiem, Nhat A.
We describe a simple quantum algorithm for simulating time-dependent Hamiltonian, extending the methodology of quantum signal processing. Thus, the framework achieves optimal scaling up to some factor scaling with other parameters, and nearly optimal
Externí odkaz:
http://arxiv.org/abs/2410.14366
Autor:
Nghiem, Linh H., Hui, F. K. C.
Sufficient dimension reduction (SDR) is a popular class of regression methods which aim to find a small number of linear combinations of covariates that capture all the information of the responses i.e., a central subspace. The majority of current me
Externí odkaz:
http://arxiv.org/abs/2410.09712
Autor:
Nguyen, Duy M. H., Diep, Nghiem T., Nguyen, Trung Q., Le, Hoang-Bao, Nguyen, Tai, Nguyen, Tien, Nguyen, TrungTin, Ho, Nhat, Xie, Pengtao, Wattenhofer, Roger, Zhou, James, Sonntag, Daniel, Niepert, Mathias
State-of-the-art medical multi-modal large language models (med-MLLM), like LLaVA-Med or BioMedGPT, leverage instruction-following data in pre-training. However, those models primarily focus on scaling the model size and data volume to boost performa
Externí odkaz:
http://arxiv.org/abs/2410.02615
Empathic accuracy (EA) is the ability of one person to accurately understand thoughts and feelings of another person, which is crucial for social and psychological interactions. Traditionally, EA is measured by comparing perceivers` real-time ratings
Externí odkaz:
http://arxiv.org/abs/2409.05343
Autor:
Nghiem, Nhat A., Wei, Tzu-Chieh
Functions are a fundamental object in mathematics, with countless applications to different fields, and are usually classified based on certain properties, given their domains and images. An important property of a real-valued function is its convexi
Externí odkaz:
http://arxiv.org/abs/2409.03312
Absorption and scattering properties of nanoparticles immersed in an absorbing medium are essential in understanding the overall properties of composites and in designing materials with expected functionalities. In this paper, we establish the model
Externí odkaz:
http://arxiv.org/abs/2408.04248
Quantum singular value transformation (QSVT) is a framework that has been shown to unify many primitives in quantum algorithms. In this work, we leverage the QSVT framework in two directions. We first show that the QSVT framework can accelerate one r
Externí odkaz:
http://arxiv.org/abs/2407.11744
Autor:
Nguyen, Duy M. H., Le, An T., Nguyen, Trung Q., Diep, Nghiem T., Nguyen, Tai, Duong-Tran, Duy, Peters, Jan, Shen, Li, Niepert, Mathias, Sonntag, Daniel
Prompt learning methods are gaining increasing attention due to their ability to customize large vision-language models to new domains using pre-trained contextual knowledge and minimal training data. However, existing works typically rely on optimiz
Externí odkaz:
http://arxiv.org/abs/2407.04489