Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Rudy Raymond"'
Autor:
Kentaro Tamura, Yohichi Suzuki, Rudy Raymond, C. Hiroshi Watanabe, Yuki Sato, Ruho Kondo, Michihiko Sugawara, Naoki Yamamoto
Publikováno v:
IEEE Transactions on Quantum Engineering, Vol 5, Pp 1-9 (2024)
Relaxation is a common way for dealing with combinatorial optimization problems. Quantum random-access optimization (QRAO) is a quantum-relaxation-based optimizer that uses fewer qubits than the number of bits in the original problem by encoding mult
Externí odkaz:
https://doaj.org/article/4e63221b41b5428298061138ca3f623e
Autor:
Bryce Fuller, Charles Hadfield, Jennifer R. Glick, Takashi Imamichi, Toshinari Itoko, J. Richard Thompson, Yang Jiao, M. Marna Kagele, W. Blom-Schieber Adriana, Rudy Raymond, Antonio Mezzacapo
Publikováno v:
IEEE Transactions on Quantum Engineering, Vol 5, Pp 1-15 (2024)
Combinatorial problems are formulated to find optimal designs within a fixed set of constraints and are commonly found across diverse engineering and scientific domains. Understanding how to best use quantum computers for combinatorial optimization r
Externí odkaz:
https://doaj.org/article/84de6beefa3540839cf9adfd65737435
Publikováno v:
IEEE Transactions on Quantum Engineering, Vol 4, Pp 1-16 (2023)
Variational quantum algorithms, which utilize parameterized quantum circuits (PQCs), are promising tools to achieve quantum advantage for optimization problems on near-term quantum devices. Their PQCs have been conventionally constructed from paramet
Externí odkaz:
https://doaj.org/article/5953f04efa8d4acf91a27b030ee284f0
Publikováno v:
IEEE Transactions on Quantum Engineering, Vol 4, Pp 1-18 (2023)
Categorical data play an important part in machine learning research and appears in a variety of applications. Models that can express large classes of real-valued functions on the Boolean cube are useful for problems involving discrete-valued data t
Externí odkaz:
https://doaj.org/article/7e8a8c28a288489e8c917a22703554f5
Publikováno v:
Frontiers in Big Data, Vol 6 (2023)
Externí odkaz:
https://doaj.org/article/7d91fe107a5c461ea8d00b102b61c3cd
Publikováno v:
Physical Review Research, Vol 5, Iss 4, p 043136 (2023)
The variational quantum eigensolver (VQE) is a hybrid algorithm to find the minimum eigenvalue/vector of the given Hamiltonian by optimizing a parameterized quantum circuit (PQC) using a classical computer. Sequential optimization methods, which are
Externí odkaz:
https://doaj.org/article/c65a76280a4f42818eb05afc7f71c02e
Publikováno v:
IEEE Transactions on Quantum Engineering, Vol 2, Pp 1-14 (2021)
Recent days have witnessed significant interests in applying quantum-enhanced techniques for solving a variety of machine learning tasks. Variational methods that use quantum resources of imperfect quantum devices with the help of classical computing
Externí odkaz:
https://doaj.org/article/6c5072bd2dec482b9611415724d7553f
Autor:
Daniel J. Egger, Claudio Gambella, Jakub Marecek, Scott McFaddin, Martin Mevissen, Rudy Raymond, Andrea Simonetto, Stefan Woerner, Elena Yndurain
Publikováno v:
IEEE Transactions on Quantum Engineering, Vol 1, Pp 1-24 (2020)
This article outlines our point of view regarding the applicability, state-of-the-art, and potential of quantum computing for problems in finance. We provide an introduction to quantum computing as well as a survey on problem classes in finance that
Externí odkaz:
https://doaj.org/article/fbbbff4740d44cbc918e5ded1e90670b
Autor:
Kouhei Nakaji, Shumpei Uno, Yohichi Suzuki, Rudy Raymond, Tamiya Onodera, Tomoki Tanaka, Hiroyuki Tezuka, Naoki Mitsuda, Naoki Yamamoto
Publikováno v:
Physical Review Research, Vol 4, Iss 2, p 023136 (2022)
Efficient methods for loading given classical data into quantum circuits are essential for various quantum algorithms. In this paper, we propose an algorithm called Approximate Amplitude Encoding that can effectively load all the components of a give
Externí odkaz:
https://doaj.org/article/5805810a56774de3b0a2042108856dbc
Autor:
Shumpei Uno, Yohichi Suzuki, Keigo Hisanaga, Rudy Raymond, Tomoki Tanaka, Tamiya Onodera, Naoki Yamamoto
Publikováno v:
New Journal of Physics, Vol 23, Iss 8, p 083031 (2021)
In this paper, we propose a quantum amplitude estimation method that uses a modified Grover operator and quadratically improves the estimation accuracy in the ideal case, as in the conventional one using the standard Grover operator. Under the depola
Externí odkaz:
https://doaj.org/article/5969184272ec4a2480a1a56aeab77a8d