Zobrazeno 1 - 10
of 121
pro vyhledávání: '"Kadowaki, Tadashi"'
Quantum computation is a promising emerging technology, and by utilizing the principles of quantum mechanics, it is expected to achieve faster computations than classical computers for specific problems. There are two distinct architectures for quant
Externí odkaz:
http://arxiv.org/abs/2402.19114
Publikováno v:
Phys. Rev. Applied 21, 034010, Published 7 March 2024
The radiation transfer equation is widely used for simulating such as heat transfer in engineering, diffuse optical tomography in healthcare, and radiation hydrodynamics in astrophysics. By combining the lattice Boltzmann method, we propose a quantum
Externí odkaz:
http://arxiv.org/abs/2312.01664
This paper implements a quantum greedy optimization algorithm based on the discretization of time evolution (d-QGO). Quantum greedy optimization, which was originally developed for reducing processing time via counterdiabatic driving, sequentially se
Externí odkaz:
http://arxiv.org/abs/2306.08181
Autor:
Kadowaki, Tadashi
Publikováno v:
APL Quantum 1, 026101 (2024)
Digital-analog quantum computing (DAQC) offers a promising approach to addressing the challenges of building a practical quantum computer. By efficiently allocating resources between digital and analog quantum circuits, DAQC paves the way for achievi
Externí odkaz:
http://arxiv.org/abs/2306.02059
Quantum annealing is a way to prepare an eigenstate of the problem Hamiltonian. Starting from an eigenstate of a trivial Hamiltonian, we slowly change the Hamiltonian to the problem Hamiltonian, and the system remains in the eigenstate of the Hamilto
Externí odkaz:
http://arxiv.org/abs/2305.15974
Quantum annealing has been demonstrated with superconducting qubits. Such a quantum annealer has been used to solve combinational optimization problems and is also useful as a quantum simulator to investigate the properties of the quantum many-body s
Externí odkaz:
http://arxiv.org/abs/2302.10486
Autor:
Okada, Akihisa, Yoshida, Hiroaki, Kidono, Kiyosumi, Matsumori, Tadayoshi, Takeno, Takanori, Kadowaki, Tadashi
Publikováno v:
IEEE Access 11 (2023) 44343-44349
The use of quantum annealers in black-box optimization to obtain the desired properties of a product with a small number of trials has attracted attention. However, the application of this technique to engineering design problems is still limited. He
Externí odkaz:
http://arxiv.org/abs/2301.03733
Autor:
Kadowaki, Tadashi, Ambai, Mitsuru
Publikováno v:
Sci Rep 12, 15482 (2022)
In edge computing, suppressing data size is a challenge for machine learning models that perform complex tasks such as autonomous driving, in which computational resources (speed, memory size and power) are limited. Efficient lossy compression of mat
Externí odkaz:
http://arxiv.org/abs/2204.10579
Application of QUBO solver using black-box optimization to structural design for resonance avoidance
Publikováno v:
Sci Rep 12, 12143 (2022)
Quadratic unconstrained binary optimization (QUBO) solvers can be applied to design an optimal structure to avoid resonance. QUBO algorithms that work on a classical or quantum device have succeeded in some industrial applications. However, their app
Externí odkaz:
http://arxiv.org/abs/2204.04906
Publikováno v:
Phil. Trans. R. Soc. A 381: 20210416 (2022)
A shorter processing time is desirable for quantum computation to minimize the effects of noise. We propose a simple procedure to variationally determine a set of parameters in the transverse-field Ising model for quantum annealing appended with a fi
Externí odkaz:
http://arxiv.org/abs/2111.13287