## RESEARCH

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In October 2019, the news of quantum supremacy from Google circulated around the world. The news is that quantum computers have solved in just 200 seconds a calculation that would take 10,000 years even with today's supercomputers. Quantum computers excel in two areas: exponential memory and massively parallel algorithms, which I will explain here.

2023/07/10

by Yu-ichiro MATSUSHITA

I will focus on and explain another factor that makes quantum computers powerful: massively parallel algorithms. I have long said that quantum computer algorithms are an unveiling of a right solution from all other possibilities, and I will explain the essence of the quantum computer algorithm.

by Yu-ichiro MATSUSHITA

2023/08/01

## 【List of articles】

The Q-e scheme, a mathematical model that expresses the reactivity ratio of vinyl monomers in terms of two parameters, can quantitatively predict the reactivity ratio for unknown monomer pairs, but several drawbacks have been pointed out. Recently, we have derived the intrinsic Q-e scheme as an improvement. This scheme eliminates the shortcomings of the Q-e scheme, improves the prediction accuracy of reactivity ratios, and, for the first time, succeeds in determining the Q-e values of polymer radicals separately from those of monomers. The intrinsic Q-e scheme is described in the following.

by Susumu KAWAUCHI

2023/08/18

## Each title is a link to the article.

The next approximately 30 years from now are referred to as the era of NISQ (noisy intermediate-scale quantum device), as shown in the figure. In the widely used VQA (Variational Quantum Algorithm), the variational circuit can only optimize quantum states within its specified range. However, Quemix's development of PITE®️ (Probabilistic Imaginary-Time Evolution) enables true quantum optimization and holds the potential to demonstrate its usefulness in the post-NISQ era.

by Taichi KOSUGI

###### 004. Will the NISQ era really arrive?

2023/08/25

Quemix proposed Probabilistic Imaginary-Time Evolution (PITE®️) as a general non-variational algorithm that does not require the use of classical computers. Since PITE®️ is a general method, it can also be applied to fields other than quantum chemistry. PITE®️ holds promise as a standard technology in the era of full-scale quantum computers that will arrive in the near future.

by Taichi KOSUGI

2023/09/19

A quantum sensor is a device that utilizes the quantum properties of matter to perform environmental sensing. Its key characteristics include high sensitivity, operation at room temperature, and a wide dynamic range. It doesn't require intricate control techniques and is expected to have an early societal implementation within the field of quantum technology.

by Yu-ichiro MATSUSHITA

2023/09/26

###### 007. Quantum Advantage of PITE ®️

In the realm of quantum chemical computation, the question of whether a quantum computer outperforms a classical computer depends on the specific problem. For tasks like real-time dynamics of Hamiltonians (e.g., atoms and molecules), quantum computers offer exponential advantages. These problems are within the BQP complexity class and can be efficiently simulated in polynomial time on a quantum computer. However, when it comes to finding the ground state of Hamiltonians, a QMA-class problem, it remains a computationally intensive task, even on a quantum computer. In summary, quantum computers excel for certain problems, offering exponential advantages, but not all problems benefit equally from quantum computing.

by Hirofumi NISHI

2023/11/01

What are the noteworthy features in machine learning? Describes the Channel Attention mechanism, which improves the ability to process and understand complex information by selectively focusing on specific features or parts of input data. This is a must-see for anyone interested in machine learning or the applications of machine learning.

by Gekko Budiutama

2023/11/28

A quantum computer implementing QEC consisting of a large number of neutral atoms, fault-tolerant quantum computation, was recently reported by “Logical quantum processor based on reconfigurable atom arrays”, Bluvstein et al., Nature (2023). According to it, up to 280 physical qubits are constructed from arrays of relocatable neutral atoms, and entanglement between up to 48 logical qubits is generated and observed using a regionalized architecture.

by Taichi KOSUGI

2023/12/25

First-principles calculations are used in a variety of fields, including research and development in industry. Junichi Iwata, the developer of Quemix's cloud-based materials calculation platform "Quloud," will explain the application of first-principles calculations.

by Junichi Iwata

2024/1/10

We explore innovations in diffusion models with quantum neural networks (QNNs) that introduce channel attention based on the latest research. With the evolution of generative AI, we will explain the potential of quantum computing in image and video generation. We provide a detailed introduction to the mechanisms of high-quality image generation and effective noise removal, and provide a perspective on future technology.

by Gekko Budiutama

2024/7/23