Qubrid: Hybrid Quantum-Classical Computing Cloud Platform

Overview:

         Qubrid is a hybrid quantum-classical computing cloud platform. It develops Quantum algorithms on Quantum Processing Units (QPU), CPU, and GPU computing infrastructure, enabling users to leverage the computational advantages of quantum computing alongside classical computing for data analysis.

Users:

         Qubrid is designed for developers, researchers, and scientists who are working on AI/ML or Quantum Computing projects.

Goal:

         The goal of Qubrid is to solve real-world complex problems using its hybrid quantum-classical computing cloud platform.

Uses and Features:

1. Execute AI/ML Programs on GPU: Qubrid allows users to execute AI/ML programs on GPU.
2. Simulate Quantum Computing Programs on GPU: Qubrid enables users to simulate Quantum Computing programs on GPU.
3. Run Quantum Computing Programs on QPU: Qubrid provides the capability to run Quantum Computing programs on QPU.
4. Secure ‘Hard to Obtain’ GPU Instances: Qubrid offers secure access to 'hard to obtain' GPU instances.
5. Instantly Access the Jupyter Notebook Programming Environment: Qubrid provides instant access to the Jupyter Notebook programming environment.

How it Works:

1. Qubrid provides a hybrid quantum-classical computing cloud platform.
2. It develops Quantum algorithms on Quantum Processing Units (QPU), CPU, and GPU computing infrastructure.
3. Qubrid allows users to execute AI/ML programs on GPU.
4. It enables users to simulate Quantum Computing programs on GPU.
5. Qubrid provides the capability to run Quantum Computing programs on QPU.

Customer Companies Statistics:

1. Qubrid was founded in 2023 and is based in McLean, Virginia. It has a total of 22 competitors and it ranks 17th among them.

2. Overall, Qubrid and its competitors have raised over $300M in funding across 24 funding rounds involving 96 investors.