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Open source platform for machine learning. TensorFlow is a machine learning platform that is open-source and available to all. It offers a flexible, comprehensive ecosystem of tools, libraries, and community resources that allows researchers to push the boundaries of machine learning. Developers can easily create and deploy ML-powered applications using its tools. Easy ML model training and development using high-level APIs such as Keras. This allows for quick model iteration and debugging. No matter what language you choose, you can easily train and deploy models in cloud, browser, on-prem, or on-device. It is a simple and flexible architecture that allows you to quickly take new ideas from concept to code to state-of the-art models and publication. TensorFlow makes it easy to build, deploy, and test.

Use our suite applications to support your research and development needs. Copy your API token to track jobs and view quantum computing resources. Explore the service and API documentation for IBM Quantum resources.

We are focused on helping customers realize real value through quantum computing applications for business. You may be surprised to find out that our enterprise customers already have hundreds of quantum applications in many industries. The combination of the Advantage™, quantum system, and Leap™, hybrid solver services enables the first quantum applications in production that demonstrate business benefits. D-Wave, the practical quantum computing company, delivers real business value today for manufacturing, logistics and supply chain, scheduling and mobility applications. Quantum computing has already helped optimize many key components of the value chain for Industry 4.0.

We enable everyone to create faster, think bigger, and see farther. Our quantum solutions, which combine AI and machine-learning, give you the ability to solve the most pressing and important problems in the world. Thermodynamics was the catalyst for the Industrial Revolution. Quantum computers use the unique information processing capabilities of quantum mechanics, which were introduced by electromagnetism, to reduce time and energy required for high-impact computing. Quantum computing, the first paradigm-shifting advancement since the integrated circuit was introduced, is poised transform every global market. The gap between early adopters and fast followers is difficult to close.

Cirq is a Python library that allows you to write, manipulate, and optimize quantum circuits. Then, you can run them on quantum simulators and quantum computers. Cirq is a Python software library that provides useful abstractions to deal with noisy intermediate-scale quantum computer systems, where the details of hardware are crucial for achieving state-ofthe-art results. Cirq has built-in simulations for both wave functions and density matrices. These can handle noisy quanta channels using monte-carlo or full matrix simulations. Cirq also works with the state-of-the art wavefunction simulator qsim. These simulators can also be used to simulate quantum hardware using the quantum virtual machines. Cirq is used by Google to run experiments on its quantum processors. You can learn more about the latest experiments, and download the code so you can run them yourself.