4 citations · 8 across the 6 of their papers we have counts for
5 papers · 1 filter
Beyond Optimization: Harnessing Quantum Annealer Dynamics for Machine Learning
Akitada Sakurai, Aoi Hayashi, Tadayoshi Matsumori +3
Quantum annealing is typically regarded as a tool for combinatorial optimization, but its coherent dynamics also offer potential for machine learning. We present a model that encod…
Subsampling Factorization Machine Annealing
Yusuke Hama, Tadashi Kadowaki
Quantum computing and machine learning are state-of-the-art technologies that have been investigated intensively in both academia and industry. The hybrid technology of these two i…
Quantum Computing and AI: Perspectives on Advanced Automation in Science and Engineering
Tadashi Kadowaki
Recent advances in artificial intelligence (AI) and quantum computing are accelerating automation in scientific and engineering processes, fundamentally reshaping research methodol…
Quantum Annealing Enhanced Markov-Chain Monte Carlo
Shunta Arai, Tadashi Kadowaki
In this study, we propose quantum annealing-enhanced Markov Chain Monte Carlo (QAEMCMC), where QA is integrated into the MCMC subroutine. QA efficiently explores low-energy configu…
Quantum Algorithm for Radiative Transfer Equation
Asuka Igarashi, Tadashi Kadowaki, Shiro Kawabata
The radiation transfer equation is widely used for simulating such as heat transfer in engineering, diffuse optical tomography in healthcare, and radiation hydrodynamics in astroph…