RESEARCH
PRESENTATION
The Future of Simulation and Machine Learning Transformed by FTQC
〜FTQC Demonstration Has Begun ~
Q2B Tokyo 2024
Yu-ichiro Matsushita
Quemix participated as a diamond sponsor in the international quantum technology event "Q2B Tokyo 2024" (held from 7/24 to 7/25) and conducted a poster presentation. Additionally, they attended many sessions, including the keynote lecture by Matsushita.
【Youtube Link】
【Q2B article】
xTECH
NIKKEI Tech Foresight
2024
PITE® on a trapped-ion quantum computer for spin qubits
Q2B Tokyo 2024
Hirofumi Nishi
Using Quemix's fault-tolerant quantum computing algorithm "PITEⓇ", Asahi Kasei's new material development was carried out on an ion trap quantum computer. This work was presented not only as a poster but also in a case study session at Q2B.
【Youtube Link】
【Q2B article】
xTECH
2024
Orbital-free DFT with quantum computation
Q2B Tokyo 2024
Yusuke Nishiya
A method for calculating ground-state electron density using orbital-free density functional theory (OF-DFT) with Quemix's fault-tolerant quantum computing algorithm "PITEⓇ" was proposed.
2024
Simulation of fluid dynamics using PITE®
Q2B Tokyo 2024
Xinchi Huang
Large-scale numerical simulations require significant computational resources. Quemix is advancing the development of quantum circuits for fluid simulations using its proprietary PITEⓇ method. Quantum advantage has been demonstrated in linear advection-diffusion equations, and further research will focus on solving nonlinear reaction-diffusion systems and large-scale fluid dynamics problems.
2024
Quantum Diffusion Model Utilizing Channel Attention
Q2B Tokyo 2024
Gekko Budiutama
Exploring innovations in diffusion models with channel attention in QNN and explaining the potential of quantum computing for image generation.
2024
Future society that quantum will change: Preparation and opportunities
Yu-ichiro Matsushita
TerraSkyDay is held every year by TerraSky Co., Ltd., the parent company of Quemix.
We introduced and explained the differences between quantum computers and classical computers, our technologies such as PITE®️, and what quantum computers can bring to humanity.
2023
Accelerating ground state calculation using probabilistic imaginary-time evolution and quantum amplitude amplification
Hirofumi Nishi
A quantum algorithm combining quantum amplitude amplification (QAA) with probabilistic Imaginary-Time Evolution (PITE) for ground-state preparation that present quadratic speedup over the classical one.Related papers are as follows:
https://arxiv.org/abs/2305.04600
https://arxiv.org/abs/2308.03605
2023
Quantum Algorithm for Optimal Molecular Geometries Based on
Probabilistic Imaginary-Time Evolution
Taichi Kosugi
With the growing momentum in quantum computing research in recent years, CCP2023 included research findings related to the development of quantum computer algorithms, presented through both oral and poster sessions. I gave an oral presentation titled "Quantum Algorithm for Optimal Molecular Geometries Based on Probabilistic Imaginary-Time Evolution."
2023
Large-scale simulation of L10 FePt nanoparticles toward magnetic recording
Hung Ba Tran
We have investigated a large-scale simulation of L10 FePt nanoparticles toward magnetic recording. The critical diameter for long term storage is estimated based on first-principles calculations.
2023
Geometric optimization based on first-quantized Hamiltonian using imaginary-time evolution on a quantum computer
APS April Meeting 2023
Yu-ichiro Matsushita
In our group, we have proposed the imaginary time evolution method as a non-variational approach for calculating the ground state in many-body problems. In this study, we constructed a quantum algorithm for structural optimization of molecules based on the first quantized Hamiltonian using the imaginary time evolution method. In the proposed framework, atomic nuclei are treated as classical point charges, while electrons are treated as quantum-mechanical particles.
2023
Improving success probability of imaginary-time evolution on a quantum computer
APS April Meeting 2023
Hirofumi Nishi
Due to the exponential decay feature of high-energy states, quantum algorithms based on the imaginary time evolution (ITE) method have been actively studied. We propose a probabilistic way to realize the action of the ITE operator by introducing auxiliary qubits. This is called the probabilistic ITE (PITE) method.
2023
Quantum Error Mitigation via Quantum-Noise-Effect Circuit Groups
APS April Meeting 2023
Yusuke Hama
The key to effective use of quantum computers is how to reduce the effects of quantum noise and produce reliable computational results.
In this R&D, we constructed a quantum error reduction method using a group of noise effect quantum circuits, a group of quantum circuits that represent quantum noise effects, the source of quantum computation errors
2023
Imaginary-time evolution with a single ancilla
APS April Meeting 2023
Yusuke Nishiya
Quantum computation algorithms for obtaining the ground state of a given Hamiltonian are in strong demand, for example in quantum chemical calculations and optimization. In this study, we propose a new ground-state computation framework based on the imaginary-time evolution method for error-tolerant quantum gated computers.
2023
Skyrmions in van der Waals centrosymmetric materials
APS April Meeting 2023
Hung Ba Tran
Skyrmions can appear in non-centrosymmetric materials due to non-vanishing Dzyaloshinskii–Moriya interactions (DMIs). We investigate the magnetic properties of rhombohedral MX3 (M: V, Cr, Mn, Fe; X: Cl, Br, I) with van der Waals materials with centrosymmetric lattices.