output
20142026
most citedViolation of contextual generalization of the Leggett-Garg inequality for recognition of ambiguous figures

74 citations

17 papers

gr-qc2026

Violation of the Leggett-Garg inequality in photon-graviton conversion

Kimihiro Nomura, Akira Taniguchi, Kazushige Ueda

The Leggett-Garg inequality (LGI) is a temporal analogue of Bell's inequality and provides a quantitative test of the nonclassicality of a system through its violation. We analytic…

hep-lat2025★ 1 cited

On the validity of the complex Langevin method near the deconfining phase transition in QCD at finite density

Shoichiro Tsutsui, Yuhma Asano, Yuta Ito +5

In our previous paper [JHEP 10 (2020) 144], we found that the complex Langevin (CL) method works for QCD at finite density on the lattice in the low-temperature hi…

gr-qc2024★ 1 cited

Imprints of Dark Photons on Gravitational Wave Polarizations

Kimihiro Nomura, Jiro Soda, Kazushige Ueda +1

We study conversion processes between gravitons and dark photons and reveal the effects of dark photons on the polarization of gravitational waves. Considering cosmological dark ma…

hep-lat2023★ 5 cited

Color superconductivity on the lattice -- analytic predictions from QCD in a small box

Takeru Yokota, Yuta Ito, Hideo Matsufuru +4

We investigate color superconductivity on the lattice using the gap equation for the Cooper pair condensate. The weak coupling analysis is justified by choosing the physical size o…

hep-th2022★ 1 cited

CDT and Horava-Lifshitz QG in Two Dimensions

Yuki Sato

The two-dimensional causal dynamical triangulations (d CDT) is a lattice model of quantum geometry. In d CDT, one can deal with the quantum effects analytically and explore t…

hep-th2022★ 29 cited

Progress in the numerical studies of the type IIB matrix model

Konstantinos N. Anagnostopoulos, Takehiro Azuma, Kohta Hatakeyama +5

The type IIB matrix model, also known as the IKKT model, has been proposed as a promising candidate for a non-perturbative formulation of superstring theory. Based on this proposal…

hep-th2022★ 12 cited

Tensor network approach to 2d Lorentzian quantum Regge calculus

Yoshiyasu Ito, Daisuke Kadoh, Yuki Sato

We demonstrate a tensor renormalization group (TRG) calculation for a two-dimensional Lorentzian model of quantum Regge calculus (QRC). This model is expressed in terms of a tensor…

hep-th2022★ 9 cited

Complex Langevin studies of the emergent space-time in the type IIB matrix model

Kohta Hatakeyama, Konstantinos Anagnostopoulos, Takehiro Azuma +5

The type IIB matrix model has been proposed as a non-perturbative definition of superstring theory since 1996. We study a simplified model that describes the late time behavior of…

cs.HC2021

HumanACGAN: conditional generative adversarial network with human-based auxiliary classifier and its evaluation in phoneme perception

Yota Ueda, Kazuki Fujii, Yuki Saito +3

We propose a conditional generative adversarial network (GAN) incorporating humans' perceptual evaluations. A deep neural network (DNN)-based generator of a GAN can represent a rea…

nucl-ex2020★ 64 cited

Surface localization of the dineutron in Li

Y. Kubota, A. Corsi, G. Authelet +64

The formation of a dineutron in the nucleus Li is found to be localized to the surface region. The experiment measured the intrinsic momentum of the struck neutron in $^{11}…

hep-lat2020★ 21 cited

Complex Langevin calculations in QCD at finite density

Yuta Ito, Hideo Matsufuru, Yusuke Namekawa +4

We demonstrate that the complex Langevin method (CLM) enables calculations in QCD at finite density in a parameter regime in which conventional methods, such as the density of stat…

hep-th2020★ 20 cited

Complex Langevin analysis of the spontaneous breaking of 10D rotational symmetry in the Euclidean IKKT matrix model

Konstantinos N. Anagnostopoulos, Takehiro Azuma, Yuta Ito +3

The IKKT matrix model is a promising candidate for a nonperturbative formulation of superstring theory, in which spacetime is conjectured to emerge dynamically from the microscopic…

eess.AS2020★ 1 cited

Stable Training of DNN for Speech Enhancement based on Perceptually-Motivated Black-Box Cost Function

Masaki Kawanaka, Yuma Koizumi, Ryoichi Miyazaki +1

Improving subjective sound quality of enhanced signals is one of the most important missions in speech enhancement. For evaluating the subjective quality, several methods related t…

cs.SD2019

HumanGAN: generative adversarial network with human-based discriminator and its evaluation in speech perception modeling

Kazuki Fujii, Yuki Saito, Shinnosuke Takamichi +2

We propose the HumanGAN, a generative adversarial network (GAN) incorporating human perception as a discriminator. A basic GAN trains a generator to represent a real-data distribut…

nucl-th2018

Azimuthal angle distributions of neutrons emitted from the Be(,) reaction with linearly polarized -rays

Yuma Kikuchi, Kazuyuki Ogata, Takehito Hayakawa +1

The electromagnetic transitions of Be with linearly polarized -rays are calculated by using the ~+~~+~ three-body model and the complex-scaled solutions of the Lipp…

econ.GN2017

A Quantum-like Model of Selection Behavior

Masanari Asano, Irina Basieva, Andrei Khrennikov +2

In this paper, we introduce a new model of selection behavior under risk that describes an essential cognitive process for comparing values of objects and making a selection decisi…

q-bio.NC2014★ 74 cited

Violation of contextual generalization of the Leggett-Garg inequality for recognition of ambiguous figures

Masanari Asano, Takahisa Hashimoto, Andrei Khrennikov +2

We interpret the Leggett-Garg (LG) inequality as a kind of contextual probabilistic inequality in which one combines data collected in experiments performed for three different con…