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RESEARCH

PRESENTATION
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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】

​ Keynote speech

​ Panel session

【Q2B article】
 xTECH
 NIKKEI Tech Foresight

2024

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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】

​ Case study session

【Q2B article】
 xTECH

2024

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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

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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

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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.

2023

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