Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Tran, Quoc Hoan"'
Equivariant quantum neural networks (QNNs) are promising quantum machine learning models that exploit symmetries to provide potential quantum advantages. Despite theoretical developments in equivariant QNNs, their implementation on near-term quantum
Externí odkaz:
http://arxiv.org/abs/2410.01252
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 nonstationary systems and subsystems, that is, nonstationary ESP and
Externí odkaz:
http://arxiv.org/abs/2409.12693
Quantum machine learning (QML) requires significant quantum resources to achieve quantum advantage. Research should prioritize both the efficient design of quantum architectures and the development of learning strategies to optimize resource usage. W
Externí odkaz:
http://arxiv.org/abs/2407.02419
Quantum neural networks (QNNs) require an efficient training algorithm to achieve practical quantum advantages. A promising approach is the use of gradient-based optimization algorithms, where gradients are estimated through quantum measurements. How
Externí odkaz:
http://arxiv.org/abs/2406.18316
Publikováno v:
Phys. Rev. E 110, 024207 (2024)
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 to the initial states and far past inputs. However, the traditional def
Externí odkaz:
http://arxiv.org/abs/2403.02686
Publikováno v:
Phys. Rev. Research 6, 023042 (2024)
The quantum convolutional neural network (QCNN) is a promising quantum machine learning (QML) model that is expected to achieve quantum advantages in classically intractable problems. However, the QCNN requires a large number of measurements for data
Externí odkaz:
http://arxiv.org/abs/2306.07331
The variational quantum eigensolver (VQE) is a hybrid algorithm that has the potential to provide a quantum advantage in practical chemistry problems that are currently intractable on classical computers. VQE trains parameterized quantum circuits usi
Externí odkaz:
http://arxiv.org/abs/2304.00549
Current technologies in quantum-based communications bring a new integration of quantum data with classical data for hybrid processing. However, the frameworks of these technologies are restricted to a single classical or quantum task, which limits t
Externí odkaz:
http://arxiv.org/abs/2209.00497
Autor:
Kubota, Tomoyuki, Suzuki, Yudai, Kobayashi, Shumpei, Tran, Quoc Hoan, Yamamoto, Naoki, Nakajima, Kohei
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 surrounding environment. These quantum noises are ubiquitous in quantu
Externí odkaz:
http://arxiv.org/abs/2207.07924
Autor:
Tran, Quoc Hoan, Nakajima, Kohei
Publikováno v:
Phys. Rev. Lett. 127, 260401 (2021)
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 measurements, using a procedure known as tomography, which requires a va
Externí odkaz:
http://arxiv.org/abs/2103.13973