91 citations · 1.1k across the 85 of their papers we have counts for
85 papers
A general method to construct mean field counter diabatic driving for a ground state search
Hiroshi Hayasaka, Takashi Imoto, Yuichiro Matsuzaki +1
The counter diabatic (CD) driving has attracted much attention for suppressing non-adiabatic transition in quantum annealing (QA). However, it can be intractable to construct the C…
Expressive Quantum Supervised Machine Learning using Kerr-nonlinear Parametric Oscillators
Yuichiro Mori, Kouhei Nakaji, Yuichiro Matsuzaki +1
Quantum machine learning with variational quantum algorithms (VQA) has been actively investigated as a practical algorithm in the noisy intermediate-scale quantum (NISQ) era. Recen…
Control of the coupling between Kerr-cat qubits via transmon couplers
Takaaki Aoki, Taro Kanao, Hayato Goto +2
Kerr-cat qubits are a promising candidate for fault-tolerant quantum computers owing to the biased nature of their errors. The coupling between the qubits can be utilized for…
Quantum state tomography for Kerr parametric oscillators
Yuta Suzuki, Shiro Kawabata, Tsuyoshi Yamamoto +1
Kerr parametric oscillators (KPOs) implemented in the circuit QED architecture can operate as qubits. Their applications to quantum annealing and universal quantum computation have…
Quantum annealing showing an exponentially small success probability despite a constant energy gap with polynomial energy
Hiroshi Hayasaka, Takashi Imoto, Yuichiro Matsuzaki +1
Quantum annealing (QA) is a method for solving combinatorial optimization problems. We can estimate the computational time for QA using the adiabatic condition. The adiabatic condi…
Quantum annealing with error mitigation
Yuta Shingu, Tetsuro Nikuni, Shiro Kawabata +1
Quantum annealing (QA) is one of the efficient methods to calculate the ground-state energy of a problem Hamiltonian. In the absence of noise, QA can accurately estimate the ground…