36 citations · 53 across the 6 of their papers we have counts for
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Can Constrained Quantum Annealing Be Effective in Noisy Quantum Annealers?
Ryoya Igata, Myonsok I, Yuya Seki +2
We investigate the performance of penalty-based quantum annealing (PQA) and constrained quantum annealing (CQA) in solving the graph partitioning problem under various noise models…
Quantum annealing with symmetric subspaces
Takashi Imoto, Yuya Seki, Yuichiro Matsuzaki
Quantum annealing (QA) is a promising approach for not only solving combinatorial optimization problems but also simulating quantum many-body systems such as those in condensed mat…
Improving the accuracy of the energy estimation by combining quantum annealing with classical computation
Takashi Imoto, Yuya Seki, Yuichiro Matsuzaki +1
Quantum chemistry calculations are important applications of quantum annealing. For practical applications in quantum chemistry, it is essential to estimate a ground state energy o…
Direct estimation of the energy gap between the ground state and excited state with quantum annealing
Yuichiro Matsuzaki, Hideaki Hakoshima, Kenji Sugisaki +2
Quantum chemistry is one of the important applications of quantum information technology. Especially, an estimation of the energy gap between a ground state and excited state of a…
Excited state search using quantum annealing
Yuya Seki, Yuichiro Matsuzaki, Shiro Kawabata
Quantum annealing (QA) is one of the ways to search the ground state of the problem Hamiltonian. Here, we propose the QA scheme to search arbitrary excited states of the problem Ha…
Quantum annealing with capacitive-shunted flux qubits
Yuichiro Matsuzaki, Hideaki Hakoshima, Yuya Seki +1
Quantum annealing (QA) provides us with a way to solve combinatorial optimization problems. In the previous demonstration of the QA, a superconducting flux qubit (FQ) was used. How…