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Entropica Labs
San Jose, Philippines
D
11-50 Employees
2018
Key takeaway
Entropica Labs is actively engaged in quantum computing, focusing on implementing real-world optimization use cases in advanced quantum devices. Their extensive experience with quantum hardware positions them well to address current computational challenges and enhance future capabilities.
Reference
Product
Technology | Entropica Labs
Anyon Computing
Los Angeles, United States
B
1-10 Employees
-
Key takeaway
Anyon Technologies provides a robust quantum computing solution, featuring advanced quantum processors and a dedicated application development toolkit, which could enhance the capabilities for quantum annealing applications. Their integrated approach supports significant discoveries in quantum applications, making it a key player in the field.
Reference
Core business
Quantum Computer | Anyon Technologies
Anyon Technologies offers World's most powerful commercial quantum servers with end-to-end proprietary technologies
QuantWare
Delft, Netherlands
A
1-10 Employees
2020
Key takeaway
QuantWare is dedicated to advancing quantum computing, particularly through the development of superconducting QPUs, which could enhance quantum annealing techniques. Their collaborative approach and focus on building a robust ecosystem for quantum research position them as a key player in the field.
Reference
Core business
QuantWare
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HQS Quantum Simulations
Karlsruhe, Germany
A
51-100 Employees
2017
Key takeaway
HQS Quantum Simulations leverages the power of quantum mechanics to create advanced industrial applications, focusing on precise material prediction and analysis at the quantum level. Their software is utilized in sectors like pharmaceuticals and chemicals, and plays a role in the research and development of quantum technologies.
Reference
Product
HQStage
With HQStage you gain access to our powerful quantum simulation modules each with distinct use cases and unique features. HQStage and its modules strictly follow our philosophy to provide easy-to-use yet powerful quantum simulation software tools. As scientists and developers, we understand your preference for using scientific libraries and tools flexibly in a powerful programming environment. Our HQStage tools can be used individually for specific tasks in simulating quantum systems or combined to create complex workflows. With HQStage, HQS Quantum Simulations introduces cutting-edge Modules for quantum computing and materials simulation at the quantum level, called HQStage Modules. 10 powerful HQStage Modules, categorised into Easy Input, Simulation, Model Analysis and Quantum Computing, are tailored to explore a wide range of quantum systems. Each module addresses specific challenges and provides researchers with exceptional power and flexibility. Building on the unique approach of simulating open quantum systems, the HQStage Modules unlock the potential of quantum computation on NISQ devices, paving the way for groundbreaking discoveries in fields such as chemistry and pharmaceuticals.
Quantum AI Solutions
Washington, United States
B
1-10 Employees
2020
Key takeaway
The company is a pioneering quantum technology firm focused on developing solutions that harness the power of quantum computing to address significant societal challenges. They emphasize their role as a trusted advisor in the emerging quantum industry, leveraging their experience and networks to help clients capitalize on opportunities in this transformative field.
Reference
Product
Technology | Quantum AI Solutions
eleQtron GmbH
Siegen, Germany
A
51-100 Employees
2020
Key takeaway
The company, eleQtron, is developing quantum computing machines that utilize the quantum states of ions, enabling them to solve problems that conventional supercomputers cannot. Their innovative approach, called MAGIC (Magnetic Gradient Induced Coupling), highlights the transformative potential of quantum computers in addressing complex tasks quickly and efficiently.
Reference
Product
Ion-trap-based Quantum Computers, QAAS, Quantum Computing Solutions
Our unique MAGIC technology is a true milestone. MAGIC (MAgnetic Gradient Induced Coupling) enables us to control ion qubits with high frequency waves. Precisely, reliably and inexpensively. High frequency fields are already ubiquitous in computers and cell phones. Miniaturizable and perfectly controlled. Individual control of qubits can be integrated into trap chips and can be done with unparalleled quality. We have already been able to demonstrate that control with our MAGIC technology does not exert any undesirable side effects on other qubits, thus significantly reducing a major source of error. The laser cooling as well as the readout of the quantum bits can be performed with much simpler lasers. Commercially available, robust and proven technology is used to control them. In principle, scaling up to more ions will pose no problems either: Miniaturized structures for trapping ions and controlling qubits can be integrated on chips.
Qu & Co
Amsterdam, Netherlands
A
1-10 Employees
2017
Key takeaway
PASQAL's quantum processors and algorithms are designed to tackle complex computational problems, showcasing the potential of quantum computing to surpass classical methods. Their focus on leveraging quantum behavior for advanced applications positions them as key players in the field, particularly for industries looking to solve challenging use cases through innovative quantum solutions.
Reference
Core business
Programmable Atomic Arrays - PASQAL - PASQAL
QUANTGATES
London, United Kingdom
A
1-10 Employees
2019
Key takeaway
QuantGates is actively advancing quantum computing through its WOLFGATES™ platform, which combines state-of-the-art algorithms to simplify quantum computations. Their focus on hybrid gate-based and annealing quantum computing may offer innovative approaches for applications such as designing peptide therapeutics.
Reference
Core business
Quantgates: Renaissance Computation At Work
Quantum Mads
Bilbao, Spain
A
11-50 Employees
-
Key takeaway
The company, Quantum MADS, focuses on developing a hybrid QSaaS tool that employs annealing computation and quantum-inspired techniques to tackle complex industrial challenges through combinatorial optimization. Their innovative approach integrates quantum and classical infrastructures, addressing critical areas such as energy asset optimization and supply chain configuration.
Reference
Core business
Quantum MADS | Pioneering the quantum transition
Aims to analyze the intrinsic dynamics of complex industrial systems, creating innovative and hardware agnostic solutions. Quantum Mads.
QuantFi
Paris, France
A
1-10 Employees
-
Key takeaway
QuantFi is a startup focused on quantum computing software applications for the financial services sector, emphasizing its capability to tackle complex quantitative problems.
Reference
Product
Products | My Site
Technologies which have been searched by others and may be interesting for you:
Quantum annealing is a quantum computing technique used to solve optimization problems by finding the lowest energy state of a system. It leverages quantum mechanics principles, such as superposition and tunneling, to explore multiple solutions simultaneously, which can significantly speed up the process compared to classical methods. This approach is particularly effective for complex problems where traditional algorithms may struggle, such as those found in logistics, finance, and machine learning. In a quantum annealer, qubits represent the possible solutions, and the system evolves over time, gradually transitioning to the optimal solution. The inherent ability of quantum annealing to navigate energy landscapes allows it to escape local minima, making it a powerful tool in areas requiring high computational efficiency.
Quantum annealing utilizes quantum mechanics to solve optimization problems, while classical computing relies on traditional binary systems. In quantum annealing, quantum bits or qubits can exist in multiple states simultaneously, allowing for parallel processing and exploring a vast solution space more efficiently. On the other hand, classical computers process information in a linear fashion, which can limit their ability to tackle complex problems that have many local minima. As a result, quantum annealing can potentially find better solutions faster for specific types of problems, such as those found in logistics, finance, and material science. This unique capability positions quantum annealing as a powerful alternative to classical approaches, particularly for optimization tasks.
1. Optimization Problems
Quantum annealing is extensively used for solving complex optimization problems. Industries such as logistics, finance, and manufacturing benefit from its ability to find optimal solutions in situations where traditional algorithms may struggle.
2. Machine Learning
In the field of machine learning, quantum annealing can enhance algorithms by providing faster training times and improved accuracy. This application is particularly valuable for large datasets where conventional methods face limitations.
3. Drug Discovery
Quantum annealing aids in drug discovery by simulating molecular interactions and optimizing the design of new drugs. This accelerates the research process and improves the likelihood of developing effective medications.
4. Financial Modeling
Financial institutions leverage quantum annealing for risk assessment and portfolio optimization. By analyzing complex variables and scenarios, it helps in making more informed investment decisions.
5. Image Processing
In image processing, quantum annealing can enhance pattern recognition and improve image classification tasks. This application is crucial in areas such as medical imaging and security systems.
Quantum annealing leverages quantum mechanics to solve optimization problems by finding the lowest energy state of a system. In this process, a problem is mapped onto a set of quantum bits or qubits, which can exist in multiple states simultaneously due to superposition. The system is initialized in a simple, known state and then gradually evolves towards the solution through a series of quantum fluctuations. As the system cools, it undergoes quantum tunneling, allowing it to escape local minima and explore a broader solution space. This capability enables quantum annealers to effectively navigate complex optimization landscapes, ultimately converging on the optimal solution with higher efficiency than classical algorithms in certain cases. The unique properties of quantum annealing make it particularly suitable for problems in fields like logistics, finance, and machine learning.
Implementing Quantum Annealing comes with several challenges that can impact its effectiveness. One significant challenge is qubit coherence, where maintaining the quantum state of qubits over time is crucial for accurate computations. Environmental noise and temperature fluctuations can easily disrupt these states, leading to errors in the annealing process. Another challenge is scalability. As the complexity of the problems increases, the number of qubits required also rises. Current quantum annealers often struggle to scale effectively, limiting their application in solving larger and more complex optimization problems. Additionally, algorithm development poses difficulties, as researchers must create efficient algorithms that can leverage the unique properties of quantum annealing while also being compatible with the hardware.
Some interesting numbers and facts about your company results for Quantum Annealing
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 7192 |
| Amount of suitable service providers | 5270 |
| Average amount of employees | 1-10 |
| Oldest suiting company | 2017 |
| Youngest suiting company | 2020 |
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Some interesting questions that has been asked about the results you have just received for Quantum Annealing
What are related technologies to Quantum Annealing?
Based on our calculations related technologies to Quantum Annealing are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Which industries are mostly working on Quantum Annealing?
The most represented industries which are working in Quantum Annealing are IT, Software and Services, Other, Finance and Insurance, Oil, Energy and Gas, Biotechnology
How does ensun find these Quantum Annealing 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.
