activity
20172024
most citedVariational quantum algorithm based on the minimum potential energy for solving the Poisson equation

68 citations · 109 across the 12 of their papers we have counts for

collaborators

12 papers

cs.HC2024★ 12 cited

Impact of Tone-Aware Explanations in Recommender Systems

Ayano Okoso, Keisuke Otaki, Satoshi Koide +1

In recommender systems, the presentation of explanations plays a crucial role in supporting users' decision-making processes. Although numerous existing studies have focused on the…

physics.ao-ph2022★ 4 cited

Deep generative model super-resolves spatially correlated multiregional climate data

Norihiro Oyama, Noriko N. Ishizaki, Satoshi Koide +1

Super-resolving the coarse outputs of global climate simulations, termed downscaling, is crucial in making political and social decisions on systems requiring long-term climate cha…

quant-ph2022★ 6 cited

Quantum topology optimization of ground structures using noisy intermediate-scale quantum devices

Yuki Sato, Ruho Kondo, Satoshi Koide +1

To arrive at some viable product design, product development processes frequently use numerical simulations and mathematical programming techniques. Topology optimization, in parti…

quant-ph2021★ 14 cited

Computationally Efficient Quantum Expectation with Extended Bell Measurements

Ruho Kondo, Yuki Sato, Satoshi Koide +2

Evaluating an expectation value of an arbitrary observable through naïve Pauli measurements requires a large number of terms to be evaluated. We a…

quant-ph2021★ 68 cited

Variational quantum algorithm based on the minimum potential energy for solving the Poisson equation

Yuki Sato, Ruho Kondo, Satoshi Koide +2

Computer-aided engineering techniques are indispensable in modern engineering developments. In particular, partial differential equations are commonly used to simulate the dynamics…

cs.LG2021

Partial Wasserstein Covering

Keisuke Kawano, Satoshi Koide, Keisuke Otaki

We consider a general task called partial Wasserstein covering with the goal of providing information on what patterns are not being taken into account in a dataset (e.g., dataset…