Zobrazeno 1 - 10
of 320
pro vyhledávání: '"Xu, Yilun"'
Autor:
Xu, Yilun
Physics-inspired generative models such as diffusion models constitute a powerful family of generative models. The advantages of models in this family come from relatively stable training process and high capacity. A number of possible improvements r
Externí odkaz:
https://hdl.handle.net/1721.1/156612
Due to saturated regions of inputting low dynamic range (LDR) images and large intensity changes among the LDR images caused by different exposures, it is challenging to produce an information enriched panoramic LDR image without visual artifacts for
Externí odkaz:
http://arxiv.org/abs/2409.04679
Autor:
Rajagopala, Abhi D., Hashim, Akel, Fruitwala, Neelay, Huang, Gang, Xu, Yilun, Hines, Jordan, Siddiqi, Irfan, Klymko, Katherine, Nowrouzi, Kasra
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 struct
Externí odkaz:
http://arxiv.org/abs/2409.03725
Diffusion models (DMs) have revolutionized generative learning. They utilize a diffusion process to encode data into a simple Gaussian distribution. However, encoding a complex, potentially multimodal data distribution into a single continuous Gaussi
Externí odkaz:
http://arxiv.org/abs/2407.03300
We propose a quantum Rabi square model where both the nearest-neighbor and the next-nearest-neighbor photon hopping are allowed among four quantum Rabi systems located at the vertices of a square. By tuning the next-nearest hopping strength, we reali
Externí odkaz:
http://arxiv.org/abs/2407.03612
Autor:
Vora, Neel R., Xu, Yilun, Hashim, Akel, Fruitwala, Neelay, Nguyen, Ho Nam, Liao, Haoran, Balewski, Jan, Rajagopala, Abhi, Nowrouzi, Kasra, Ji, Qing, Whaley, K. Birgitta, Siddiqi, Irfan, Nguyen, Phuc, Huang, Gang
Similar to reading the transistor state in classical computers, identifying the quantum bit (qubit) state is a fundamental operation to translate quantum information. However, identifying quantum state has been the slowest and most susceptible to err
Externí odkaz:
http://arxiv.org/abs/2406.18807
The discovery of the non-Hermitian skin effect (NHSE) has revolutionized our understanding of wave propagation in non-Hermitian systems, highlighting unexpected localization effects beyond conventional theories. Here, we discover that NHSE, accompani
Externí odkaz:
http://arxiv.org/abs/2406.15005
Autor:
Fruitwala, Neelay, Hashim, Akel, Rajagopala, Abhi D., Xu, Yilun, Hines, Jordan, Naik, Ravi K., Siddiqi, Irfan, Klymko, Katherine, Huang, Gang, Nowrouzi, Kasra
Randomized compiling (RC) is an efficient method for tailoring arbitrary Markovian errors into stochastic Pauli channels. However, the standard procedure for implementing the protocol in software comes with a large experimental overhead -- namely, it
Externí odkaz:
http://arxiv.org/abs/2406.13967
Autor:
Zheng, Zhuonan, Zhou, Sheng, Xu, Hongjia, Gu, Ming, Xu, Yilun, Li, Ao, Li, Yuhong, Gu, Jingjun, Bu, Jiajun
Graph Neural Networks (GNNs) have achieved remarkable success in various graph mining tasks by aggregating information from neighborhoods for representation learning. The success relies on the homophily assumption that nearby nodes exhibit similar be
Externí odkaz:
http://arxiv.org/abs/2405.20640
The exotic phase transitions and multistabilities in atom-cavity coupled systems have attracted tremendous interests recently. In this work, we investigate the effect of photon hopping between two Dicke cavities, which induces rich quantum phases for
Externí odkaz:
http://arxiv.org/abs/2405.19633