Zobrazeno 1 - 10
of 18 811
pro vyhledávání: '"Nori, A"'
We present a method to engineer various zero-energy localized states on disorder-free hypercube graphs. Previous works have already indicated that disorder is not essential for observing localization phenomena in noninteracting systems, with some pro
Externí odkaz:
http://arxiv.org/abs/2410.10763
Autor:
Mueller, Andreas, Siems, Julien, Nori, Harsha, Salinas, David, Zela, Arber, Caruana, Rich, Hutter, Frank
Generalized Additive Models (GAMs) are widely recognized for their ability to create fully interpretable machine learning models for tabular data. Traditionally, training GAMs involves iterative learning algorithms, such as splines, boosted trees, or
Externí odkaz:
http://arxiv.org/abs/2410.04560
Despite the increasing effectiveness of language models, their reasoning capabilities remain underdeveloped. In particular, causal reasoning through counterfactual question answering is lacking. This work aims to bridge this gap. We first derive nove
Externí odkaz:
http://arxiv.org/abs/2410.03767
Autor:
Wu, B. -Y., Cheng, Y. -T., Lin, K. -T., Aziz, F., Liu, J. -C., Rangdhol, K. -V., Yeung, Y. -Y., Yang, Sen, Shao, Qiming, Wang, Xin, Lin, G. -D., Nori, Franco, Hoi, I. -C.
We investigate microwave interference from a spin ensemble and its mirror image in a one-dimensional waveguide. Away from the mirror, the resonance frequencies of the Kittel mode (KM) inside a ferrimagnetic spin ensemble have sinusoidal shifts as the
Externí odkaz:
http://arxiv.org/abs/2409.17867
We present a quantum heat engine based on a quantum Otto cycle, whose working substance reproduces the same outcomes of a SU(1,1) interference process at the end of each adiabatic transformation. This device takes advantage of the extraordinary quant
Externí odkaz:
http://arxiv.org/abs/2409.13411
Autor:
Bauza, Maria, Chen, Jose Enrique, Dalibard, Valentin, Gileadi, Nimrod, Hafner, Roland, Martins, Murilo F., Moore, Joss, Pevceviciute, Rugile, Laurens, Antoine, Rao, Dushyant, Zambelli, Martina, Riedmiller, Martin, Scholz, Jon, Bousmalis, Konstantinos, Nori, Francesco, Heess, Nicolas
We present DemoStart, a novel auto-curriculum reinforcement learning method capable of learning complex manipulation behaviors on an arm equipped with a three-fingered robotic hand, from only a sparse reward and a handful of demonstrations in simulat
Externí odkaz:
http://arxiv.org/abs/2409.06613
Non-Hermitian skin effects (NHSEs) have recently been investigated extensively at the single-particle level. When many-body interactions become dominant, novel non-Hermitian physical phenomena can emerge. In this work, we theoretically study NHSEs co
Externí odkaz:
http://arxiv.org/abs/2408.12451
Autor:
González, Javier, Nori, Aditya V.
Recent advances in AI have been significantly driven by the capabilities of large language models (LLMs) to solve complex problems in ways that resemble human thinking. However, there is an ongoing debate about the extent to which LLMs are capable of
Externí odkaz:
http://arxiv.org/abs/2408.08210
Autor:
Ge, Zi-Yong, Nori, Franco
We introduce bipartite projected ensembles (BPEs) for quantum many-body wave functions, which consist of pure states supported on two local subsystems, with each state associated with the outcome of a projective measurement of the complementary subsy
Externí odkaz:
http://arxiv.org/abs/2408.08052
We present an unconventional mechanism for quantum nonlinearity in a system comprising of a V-type quantum emitter (QE) and two Fabry-Perot cavities. The two transitions of the V-type QE are effectively coupled with two independent cavity modes. The
Externí odkaz:
http://arxiv.org/abs/2408.07870