Zobrazeno 1 - 10
of 39 601
pro vyhledávání: '"Modi AT"'
Autor:
Kobayashi, Fumiyoshi, Manabe, Hidetaka, White, Gregory A. L., Farrelly, Terry, Modi, Kavan, Stace, Thomas M.
Quantum error correction (QEC) is essential for fault-tolerant quantum computation. Often in QEC errors are assumed to be independent and identically distributed and can be discretised to a random Pauli error during the execution of a quantum circuit
Externí odkaz:
http://arxiv.org/abs/2412.13739
In arXiv:2110.02613, we presented a generalised dynamical resource theory framework that enabled noise reduction techniques including dynamical decoupling (DD) to be studied. While this fundamental contribution remains correct, it has been found that
Externí odkaz:
http://arxiv.org/abs/2412.11595
Autor:
Goswami, Ashish, Modi, Satyam Kumar, Deshineni, Santhosh Rishi, Singh, Harman, P, Prathosh A., Singla, Parag
Text-to-image (T2I) generation has seen significant progress with diffusion models, enabling generation of photo-realistic images from text prompts. Despite this progress, existing methods still face challenges in following complex text prompts, espe
Externí odkaz:
http://arxiv.org/abs/2412.06089
Large Language Models (LLMs) have shown state-of-the-art performance in a variety of tasks, including arithmetic and reasoning; however, to gauge the intellectual capabilities of LLMs, causal reasoning has become a reliable proxy for validating a gen
Externí odkaz:
http://arxiv.org/abs/2411.19500
Autor:
Joshi, Abhinav, Saha, Shaswati, Shukla, Divyaksh, Vema, Sriram, Jhamtani, Harsh, Gaur, Manas, Modi, Ashutosh
Large Language Models (LLMs) have shown to be a great success in a wide range of applications ranging from regular NLP-based use cases to AI agents. LLMs have been trained on a vast corpus of texts from various sources; despite the best efforts durin
Externí odkaz:
http://arxiv.org/abs/2411.15477
Autor:
Wyder, Philippe Martin, Bakhda, Riyaan, Zhao, Meiqi, Booth, Quinn A., Modi, Matthew E., Song, Andrew, Kang, Simon, Wu, Jiahao, Patel, Priya, Kasumi, Robert T., Yi, David, Garg, Nihar Niraj, Jhunjhunwala, Pranav, Bhutoria, Siddharth, Tong, Evan H., Hu, Yuhang, Goldfeder, Judah, Mustel, Omer, Kim, Donghan, Lipson, Hod
Biological lifeforms can heal, grow, adapt, and reproduce -- abilities essential for sustained survival and development. In contrast, robots today are primarily monolithic machines with limited ability to self-repair, physically develop, or incorpora
Externí odkaz:
http://arxiv.org/abs/2411.11192
We use the eigenstate thermalization hypothesis to derive a quantum master equation for a system weakly coupled to a chaotic finite-sized bath prepared in a pure state. We show that the emergence of Markovianity is controlled by the spectral function
Externí odkaz:
http://arxiv.org/abs/2411.07706
Autor:
Cai, Diana, Modi, Chirag, Margossian, Charles C., Gower, Robert M., Blei, David M., Saul, Lawrence K.
We develop EigenVI, an eigenvalue-based approach for black-box variational inference (BBVI). EigenVI constructs its variational approximations from orthogonal function expansions. For distributions over $\mathbb{R}^D$, the lowest order term in these
Externí odkaz:
http://arxiv.org/abs/2410.24054
The realization of fault-tolerant quantum computers hinges on effective quantum error correction protocols, whose performance significantly relies on the nature of the underlying noise. In this work, we directly study the structure of non-Markovian c
Externí odkaz:
http://arxiv.org/abs/2410.23779
Black-box variational inference (BBVI) scales poorly to high dimensional problems when it is used to estimate a multivariate Gaussian approximation with a full covariance matrix. In this paper, we extend the batch-and-match (BaM) framework for score-
Externí odkaz:
http://arxiv.org/abs/2410.22292