86 citations · 232 across the 12 of their papers we have counts for
12 papers
Exponential Improvement on Asian Option Pricing Through Quantum Preconditioning Methods
Gumaro Rendon, Rutuja Kshirsagar, Quoc Hoan Tran
In this work, we present a quantum algorithm designed to solve the differential equation used in the pricing of Asian options, in the framework of the Black-Scholes model. Our appr…
Coherence influx is indispensable for quantum reservoir computing
Shumpei Kobayashi, Quoc Hoan Tran, Kohei Nakajima
Echo state property (ESP) is a fundamental property that allows an input-driven dynamical system to perform information processing tasks. Recently, extensions of ESP to potentially…
Extending echo state property for quantum reservoir computing
Shumpei Kobayashi, Quoc Hoan Tran, Kohei Nakajima
The echo state property (ESP) represents a fundamental concept in the reservoir computing (RC) framework that ensures output-only training of reservoir networks by being agnostic t…
Quantum-Classical Hybrid Information Processing via a Single Quantum System
Quoc Hoan Tran, Sanjib Ghosh, Kohei Nakajima
Current technologies in quantum-based communications bring a new integration of quantum data with classical data for hybrid processing. However, the frameworks of these technologie…
Quantum Noise-Induced Reservoir Computing
Tomoyuki Kubota, Yudai Suzuki, Shumpei Kobayashi +3
Quantum computing has been moving from a theoretical phase to practical one, presenting daunting challenges in implementing physical qubits, which are subjected to noises from the…
Learning Temporal Quantum Tomography
Quoc Hoan Tran, Kohei Nakajima
Quantifying and verifying the control level in preparing a quantum state are central challenges in building quantum devices. The quantum state is characterized from experimental me…
Universal Approximation Property of Quantum Machine Learning Models in Quantum-Enhanced Feature Spaces
Takahiro Goto, Quoc Hoan Tran, Kohei Nakajima
Encoding classical data into quantum states is considered a quantum feature map to map classical data into a quantum Hilbert space. This feature map provides opportunities to incor…
Higher-Order Quantum Reservoir Computing
Quoc Hoan Tran, Kohei Nakajima
Quantum reservoir computing (QRC) is an emerging paradigm for harnessing the natural dynamics of quantum systems as computational resources that can be used for temporal machine le…
Evaluating the phase dynamics of coupled oscillators via time-variant topological features
Kazuha Itabashi, Quoc Hoan Tran, Yoshihiko Hasegawa
By characterizing the phase dynamics in coupled oscillators, we gain insights into the fundamental phenomena of complex systems. The collective dynamics in oscillatory systems are…
Topological Persistence Machine of Phase Transitions
Quoc Hoan Tran, Mark Chen, Yoshihiko Hasegawa
The study of phase transitions using data-driven approaches is challenging, especially when little prior knowledge of the system is available. Topological data analysis is an emerg…
Scale-variant topological information for characterizing the structure of complex networks
Quoc Hoan Tran, Van Tuan Vo, Yoshihiko Hasegawa
The structure of real-world networks is usually difficult to characterize owing to the variation of topological scales, the nondyadic complex interactions, and the fluctuations in…
Topological time-series analysis with delay-variant embedding
Quoc Hoan Tran, Yoshihiko Hasegawa
Identifying the qualitative changes in time-series data provides insights into the dynamics associated with such data. Such qualitative changes can be detected through topological…