Locations
Company type
Result types
Industries
Employees
Founding year
The B2B platform for the best purchasing descision. Identify and compare relevant B2B manufacturers, suppliers and retailers
Close
Filter
Result configuration
Continents
Select continent
Locations
Result types
Company type
Select company type
Industries
Select industry
Company status
Select company status preset
Number of employees
Min.
Max.
Founding year
Quant-Box
Tokyo, Japan
A
1-10 Employees
-
Key takeaway
Quant-Box offers a robust platform for quantitative research and data analysis, which could be instrumental for those exploring Quantum Machine Learning applications. By providing tools for strategy development and optimization, it enables emerging and midsized quant managers to enhance their capabilities in this advanced field.
Reference
Core business
Overview – Quant-box
Konduit
Tokyo, Japan
A
11-50 Employees
2019
Key takeaway
The company specializes in building AI infrastructure and provides support for enterprises utilizing open-source tools like DL4J. Their focus on executing models effectively may be relevant for those interested in advanced machine learning applications.
Reference
Core business
Konduit - We Build AI infrastructure from the Ground Up
HPC SYSTEMS Japan
Tokyo, Japan
A
51-100 Employees
2003
Key takeaway
HPC SYSTEMS Inc. has launched a cloud service called "Qamuy," which utilizes quantum algorithms for quantum chemistry calculations. This service highlights the company's commitment to providing computational power for research and development.
Reference
Core business
量子アルゴリズムを用いて量子化学計算を行うクラウドサービス「Qamuy」を掲載開始 | HPCシステムズはすべての研究開発者に計算力を提供します。
Looking for more accurate results?
Find the right companies for free by entering your custom query!
25M+ companies
250M+ products
Free to use
J CUBE Inc.
Yokohama, Japan
A
1-10 Employees
2013
Key takeaway
The company specializes in advanced software solutions and cloud services that leverage artificial intelligence and machine learning, making it well-positioned for innovations in quantum machine learning. Their expertise in data processing and techniques from computer graphics imagery can be applied to various fields, highlighting their capability in handling complex data challenges.
Reference
Product
J CUBE Inc — Imagination Engine
Cross Labs
Kyoto, Japan
A
11-50 Employees
2019
Key takeaway
Cross Labs, founded by Cross Compass, is dedicated to advancing intelligence science through deep learning and cutting-edge research. Their focus on creating innovative AI technologies positions them as key contributors to the evolution of intelligent processes in various industries.
Reference
Core business
Home 2022
Radically Reimagining the Future of Intelligence. Building innovative, compassionate, and ethical AI technologies that support, elevate, and benefit humanity.
Japan Computing Systems
Tokyo, Japan
A
- Employees
1992
Key takeaway
Japan Computing Systems (JCS) is a prominent IT supplier that has successfully delivered GPGPU for machine learning applications and HPC for research purposes to numerous enterprises, government agencies, and universities.
Reference
Core business
株式会社 日本コンピューティングシステム | 業務用、産業用、研究用途の基幹ハードウェアをご要望に合わせてご提案
aiQ
Tokyo, Japan
A
11-50 Employees
2018
Key takeaway
The company, aiQ, utilizes deep learning AI to forecast factory-level working populations and sales, leveraging geolocation data and extensive consumer panels. Their innovative approach provides unique insights into Japanese markets, making it a valuable resource for investors looking to evaluate firms through advanced analytics.
Reference
Core business
Alternative Data in Japan | AiQ Index | 日本
aiQ Index provide a unique set of alternative data for Japan, allowing investors to evaluate firms in ways that were not possible before. Big Data & AI based Geolocation, Point Of Sales (POS), and Consumer Panel insights on Japanese markets for corporate investors
CLEAN PLANET
Tokyo, Japan
A
- Employees
2012
Key takeaway
Quantum Hydrogen Energy (QHe) is focused on innovative energy solutions, including the integration of quantum physics and nano-materials science. Their approach to CO2 emission-free energy generation could have implications for advancements in quantum machine learning applications.
Reference
Product
TECHNOLOGY | CLEANPLANET Inc.
HACARUS
Kyoto, Japan
A
11-50 Employees
2014
Key takeaway
HACARUS leverages its award-winning Sparse Modeling technology to provide innovative AI-driven solutions in fields like healthcare and manufacturing. Their focus on efficient data utilization and explainable AI can be particularly relevant for advancements in quantum machine learning applications.
Reference
Core business
HACARUS – Sparse Modeling based AI, Edge AI with learning and inference capability, White box AI
We make AI work, where common Big Data aproaches fail. Get explainable results, even from small data amounts. Available on the cloud or as embedded devices.
AIO CORE
Tokyo, Japan
A
11-50 Employees
2017
Key takeaway
AIO Core is advancing the field of quantum machine learning through its innovative silicon photonics technology and high-performance quantum dot laser solutions. Their IOCore® optical transceivers support high-speed data transmission and are designed for reliable operation in extreme temperatures, making them ideal for next-generation high-performance computing and artificial intelligence applications.
Reference
Product
TECHNOLOGY | AIO core Co., Ltd.
AIO Core’s single-chip solutions employing high-speed Si-Photonics platform and Quantum Dot Laser light source enhance optical connectivity with superior performance and reliability in wide temperature range of “Industrial temperature” and above (-40 to 105 ℃). Industry-leading “Immersion-cooling” optical package solution contributes heat managements for next generation HPC, AI/ML.
Technologies which have been searched by others and may be interesting for you:
When exploring the Quantum Machine Learning industry in Japan, several key factors warrant attention. First, Japan has a strong commitment to advancing quantum technology, supported by government initiatives and funding. This creates a favorable environment for startups and established companies. However, navigating the regulatory landscape is crucial, as compliance with national and international standards affects research and development processes. Challenges include the need for skilled talent, with a limited pool of professionals experienced in both quantum computing and machine learning. The competitive landscape features established tech giants and emerging startups, intensifying the race for innovation and market share. Additionally, the industry is part of a global market, which means companies must consider international collaborations and competition. Environmental concerns also come into play, as the energy consumption of quantum computing can be significant. Companies are increasingly tasked with developing sustainable practices to minimize their ecological footprint. Overall, the Quantum Machine Learning sector in Japan presents numerous opportunities, from academic partnerships to commercial applications, but it requires a deep understanding of the local context and global dynamics to succeed.
Some interesting numbers and facts about your company results for Quantum Machine Learning
| Country with most fitting companies | Japan |
| Amount of fitting manufacturers | 21 |
| Amount of suitable service providers | 10 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 1992 |
| Youngest suiting company | 2019 |
Some interesting questions that has been asked about the results you have just received for Quantum Machine Learning
What are related technologies to Quantum Machine Learning?
Based on our calculations related technologies to Quantum Machine Learning are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Which industries are mostly working on Quantum Machine Learning?
The most represented industries which are working in Quantum Machine Learning are IT, Software and Services, Other, Finance and Insurance, Research, Automation
How does ensun find these Quantum Machine Learning Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.