Zobrazeno 1 - 10
of 4 267
pro vyhledávání: '"YAMAMOTO, Naoki"'
There exist metastable domain walls of the flavor-singlet meson $\eta$ for the ${\rm U}(1)$ axial symmetry in two-flavor color superconductivity (2SC) in QCD at large baryon density. We show that, due to the coupling of $\eta$ to confined ${\rm SU}(2
Externí odkaz:
http://arxiv.org/abs/2410.07665
Cathodoluminescence (CL), the emission of light induced by accelerated free electrons, has been extensively utilized in various applications, such as displays, streak cameras, and high-spatial-resolution analysis of optical material, surpassing the d
Externí odkaz:
http://arxiv.org/abs/2408.12824
Autor:
Kanno, Shu, Sugisaki, Kenji, Nakamura, Hajime, Yamauchi, Hiroshi, Sakuma, Rei, Kobayashi, Takao, Gao, Qi, Yamamoto, Naoki
We develop an energy calculation algorithm leveraging quantum phase difference estimation (QPDE) scheme and a tensor-network-based unitary compression method in the preparation of superposition states and time-evolution gates. Alongside its efficient
Externí odkaz:
http://arxiv.org/abs/2408.04946
Partial differential equations (PDEs) are crucial for modeling various physical phenomena such as heat transfer, fluid flow, and electromagnetic waves. In computer-aided engineering (CAE), the ability to handle fine resolutions and large computationa
Externí odkaz:
http://arxiv.org/abs/2407.05019
Publikováno v:
PRX Quantum 5, 040325 (2024)
Quantum reservoir computing (QRC) is a highly promising computational paradigm that leverages quantum systems as a computational resource for nonlinear information processing. While its application to time-series analysis is eagerly anticipated, prev
Externí odkaz:
http://arxiv.org/abs/2406.15783
Stochastic gradient descent (SGD) is a frequently used optimization technique in classical machine learning and Variational Quantum Eigensolver (VQE). For the implementation of VQE on quantum hardware, the results are always affected by measurement s
Externí odkaz:
http://arxiv.org/abs/2406.09780
In quantum mechanics, measuring the expectation value of a general observable has an inherent statistical uncertainty that is quantified by variance or mean squared error of measurement outcome. While the uncertainty can be reduced by averaging sever
Externí odkaz:
http://arxiv.org/abs/2406.03306
In quantum computation, amplitude estimation is a fundamental subroutine that is utilized in various quantum algorithms. A general important task of such estimation problems is to characterize the estimation lower bound, which is referred to as quant
Externí odkaz:
http://arxiv.org/abs/2405.15174
Publikováno v:
Phys. Rev. A 110, 022618 (2024)
Dynamical response functions are fundamental quantities to describe the excited-state properties in quantum many-body systems. Quantum algorithms have been proposed to evaluate these quantities by means of quantum phase estimation (QPE), where the en
Externí odkaz:
http://arxiv.org/abs/2404.19554
Quantum algorithms are still challenging to solve linear systems of equations on real devices. This challenge arises from the need for deep circuits and numerous ancilla qubits. We introduce the quantum conjugate gradient (QCG) method using the quant
Externí odkaz:
http://arxiv.org/abs/2404.02713