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of 56 409
pro vyhledávání: '"Khoo BE"'
We employ a recently developed spectral method to obtain the spectrum of quasinormal modes of rapidly rotating black holes in alternative theories of gravity and apply it to the black holes of shift-symmetric Einstein-scalar-Gauss-Bonnet theory. In t
Externí odkaz:
http://arxiv.org/abs/2412.09377
Autor:
Zhang, Xinxin, Xu, Zhuoqun, Zhu, Guangpu, Tay, Chien Ming Jonathan, Cui, Yongdong, Khoo, Boo Cheong, Zhu, Lailai
Recent advanced large language models (LLMs) have showcased their emergent capability of in-context learning, facilitating intelligent decision-making through natural language prompts without retraining. This new machine learning paradigm has shown p
Externí odkaz:
http://arxiv.org/abs/2412.08072
Quantum Convolutional Neural Networks (QCNNs) have emerged as promising models for quantum machine learning tasks, including classification and data compression. This paper investigates the performance of QCNNs in comparison to the hardware-efficient
Externí odkaz:
http://arxiv.org/abs/2411.13468
Large Language Models are prone to off-topic misuse, where users may prompt these models to perform tasks beyond their intended scope. Current guardrails, which often rely on curated examples or custom classifiers, suffer from high false-positive rat
Externí odkaz:
http://arxiv.org/abs/2411.12946
We propose a novel algorithm for calculating the ground-state energy of quantum many-body systems by combining auxiliary-field quantum Monte Carlo (AFQMC) with tensor-train sketching. In AFQMC, having a good trial wavefunction to guide the random wal
Externí odkaz:
http://arxiv.org/abs/2411.07194
Autor:
Lo, Phillip, Khoo, Yuehaw
In this paper, we study the problem of recovering a ground truth high dimensional piecewise linear curve $C^*(t):[0, 1]\to\mathbb{R}^d$ from a high noise Gaussian point cloud with covariance $\sigma^2I$ centered around the curve. We establish that th
Externí odkaz:
http://arxiv.org/abs/2410.23220
Cryo-electron microscopy (Cryo-EM) is a widely-used technique for recovering the 3-D structure of biological molecules from a large number of experimentally generated noisy 2-D tomographic projection images of the 3-D structure, taken from unknown vi
Externí odkaz:
http://arxiv.org/abs/2410.06889
The modeling of dynamical systems is a pervasive concern for not only describing but also predicting and controlling natural phenomena and engineered systems. Current data-driven approaches often assume prior knowledge of the relevant state variables
Externí odkaz:
http://arxiv.org/abs/2408.11691
Autor:
Pathmanathan, Dharini, Dabo, Issa-Mbenard, Khoo, Tzung Hsuen, Ali-Hassan, Alaa, Dabo-Niang, Sophie
In this article, we present the bivariate and multivariate functional Moran's I statistics and multivariate functional areal spatial principal component analysis (mfasPCA). These methods are the first of their kind in the field of multivariate areal
Externí odkaz:
http://arxiv.org/abs/2408.08630
Autor:
Robbiati, Matteo, Pedicillo, Edoardo, Pasquale, Andrea, Li, Xiaoyue, Wright, Andrew, Farias, Renato M. S., Giang, Khanh Uyen, Son, Jeongrak, Knörzer, Johannes, Goh, Siong Thye, Khoo, Jun Yong, Ng, Nelly H. Y., Holmes, Zoë, Carrazza, Stefano, Gluza, Marek
Ground state preparation is a key area where quantum computers are expected to prove advantageous. Double-bracket quantum algorithms (DBQAs) have been recently proposed to diagonalize Hamiltonians and in this work we show how to use them to prepare g
Externí odkaz:
http://arxiv.org/abs/2408.03987