After earning a PhD in Natural Sciences from the University of Tsukuba, worked as a researcher at the National Institute of Advanced Industrial Science and Technology (AIST), Assistant Professor at the University of Tsukuba, Special Lecturer at the University of Tokyo, and Director of a computational science and technology enterprise. Joined Quemix and served as the development lead for the cloud-based material computation platform "Quloud".

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【Key Achievements】

• Received the 2011 ACM Gordon Bell Prize - Peak Performance Award for first-principles calculations on silicon nanowires with a model of over 100,000 atoms using the supercomputer "K".

• Developed RSDFT, a real-space density functional theory material calculation software for massively parallel computers.

• Developed RS-CPMD, a real-space first-principles molecular dynamics software for massively parallel computers.

• Developed real-time real-space calculation methods for solid-state optical response using time-dependent density functional theory.

• Developed real-space calculation methods for molecular hyperpolarizabilities using time-dependent density functional theory.

• Conducted first-principles calculations on atomic vacancies in semiconductors using large-scale models.

• Engaged as the chair of the materials science co-design team in the "K" and "Fugaku" projects.

After obtaining a PhD in Natural Sciences from the University of Tokyo, worked as a researcher at the University of Tokyo, the National Institute of Advanced Industrial Science and Technology (AIST), the Institute of Physical and Chemical Research (RIKEN), and Tokyo Institute of Technology before joining Quemix.

【Key Achievements】

• Developed advanced techniques (relativistic effects, convergence acceleration) for electronic structure calculations of solids on classical computers, applied to perovskites, metallic thin films, molecular solids, etc.

• Engaged in the large-scale parallelization of quantum chemical calculations for the supercomputer "K," proposed molecular self-energy functional theory based on this experience, and implemented the bond cluster method for solids and its Green's function.

• Continued research on quantum algorithms utilizing knowledge in electronic structure theory and computation. Devised algorithms for Green's function and linear response function acquisition on quantum computers, patented.

• Devised the Probabilistic Imaginary Time Evolution (PITE®️) as a general-purpose non-variational quantum algorithm and patented it.

• Discovered the quantum advantage of molecular structure optimization in quantum chemical calculations based on PITE®️.

After obtaining a master's degree from the University of Tokyo, worked at a major semiconductor manufacturer before joining Quemix.

【Key Achievements】

• Developed electron state analysis methods for two-dimensional materials (band unfolding method).

• Developed high-precision computational methods for quantum chemical calculations (single-particle spectrum calculation using connected cluster method, application to periodic systems).

• Developed quantum algorithms for material calculations (Probabilistic Imaginary Time Evolution method, adiabatic time evolution method).

• Developed techniques for reducing quantum noise.

• Developed techniques for improving the sensitivity of quantum sensors.

• Gained three years of experience in digital circuit design and verification for flash memory control units.

After obtaining a master's degree from the University of Tokyo, worked as a researcher at Tokyo Institute of Technology before joining Quemix.

【Key Achievements】

• Conducted physical property experiments including X-ray diffraction, electrical conductivity measurements, photoelectron spectroscopy, and nuclear magnetic resonance.

• Analyzed the charge states, structures, and stability of semiconductor point defects based on energy generation.

• Predicted the structures of SiC interface defects and analyzed the electronic states of interfaces.

• Generated amorphous structures using first-principles molecular dynamics calculations.

• Developed algorithms for ground state calculations using quantum gate-based approaches:

  • Developed the Probabilistic Imaginary Time Evolution (PITE®️) and related methods.

  • Devised quantum circuit implementation methods for adiabatic time evolution in the first quantization formalism.

• Devised methods for predicting crystal structures feasible for quantum annealing.

• Developed web applications.

After working at an AI startup in Munich, obtained a PhD in Mathematics from the University of Roma Tre in Italy before joining Quemix. Fluent in German, French, Italian, Japanese, and English.

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【Key Achievements】

• Utilized quantum computers to systematically explore and optimize structures with optimal density and configuration.

• Under the supervision of Professor Martinelli, conducted mathematical analyses using probability theory to model and analyze the relaxation time of glass materials. Graphically modeled reinforcement learning and learning processes, and analyzed them using probability theory.

• Mathematically computed the Kondo effect caused by multiple impurities and analyzed screening effects.

• Analyzed medical books using natural language processing and provided support to physicians through machine learning.

After obtaining a PhD in Engineering from Kyoto University, worked as a researcher at Showa Denko, dispatched researcher at the Foundation for Chemical Research, assistant, associate, and tenured professor at Tokyo Institute of Technology, special appointed professor at the Institute of Statistical Mathematics, and visiting professor at Hiroshima University before joining Quemix.

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【Key Achievements】

• Developed numerous new materials using excited state calculations.

• Over 30 years of experience in education and research in quantum chemical calculations.

• Engaged in numerous collaborative research projects with industry, academia, and government.

• Clarified reaction mechanisms through transition state exploration.

• Derived the theory equation "Eigen Q-e Scheme" for predicting reactivity ratios in radical polymerization (world's first in 2022).

• Developed new polymer materials using the "Eigen Q-e Scheme".

• Over 30 years of experience using the Gaussian program, the world standard in quantum chemical calculations.

After earning a Bachelor's degree from Tohoku University and a Doctorate in Engineering from Tokyo Institute of Technology, joined Quemix. Fluent in Indonesian, Japanese, and English.

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【Key Achievements】

• Experienced in both experimental and computational research, with publications in international journals for both.

• Developed technology for ultra-thin (1-2nm scale) SiO2 for the efficiency enhancement of Si semiconductor devices.

• Proposed a new computational method combining first-principles (DFTB) and molecular mechanics to reduce the cost of first-principles calculations (used for modeling large-scale Si/SiO2/TiO2 interfaces).

• Received the Best Presentation Award at the 2020 International Forum of the Institute for Materials Research, Tokyo Institute of Technology.

After obtaining a PhD in Mathematical Sciences from the University of Tokyo, worked as a Special Researcher at the University of Tokyo and as a Foreign Special Researcher at the Japan Society for the Promotion of Science before joining Quemix. Fluent in Chinese, Japanese, and English.

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【Key Achievements】

• Conducted stability analysis of inverse problems in mathematical physics (simplified Kalman evaluation of general-purpose methods).

• Mathematical analysis and numerical computation of models for anomalous diffusion and wave phenomena (fractional differential equations).

• Traffic signal optimization using mathematical models for congestion alleviation.

• Design modifications of optical occlusion devices based on triangular lenses.

• Proficient in C++, Matlab, and Python programming languages.

• Received the Tokyo University Graduate School of Mathematical Sciences Director's Award in 2016 and 2019.