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IBM Q
The future is quantum
IBM Q is an industry first initiative to build universal quantum computers for business and science. Our cross-disciplinary team is developing scalable quantum systems, and potential applications for the technology we make available today. IBM Q quantum devices are accessed using Qiskit, a modular, open-source programming framework. A worldwide network of Fortune 500 companies, academic institutions, and startups use IBM Q technology and collaborate with IBM Research to advance quantum computing.
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Latest IBM Q news and research
Visit our blog to Browse IBM Q's most recent news, projects, and publications.
Join the Quantum Community
We Have Winners! … of the IBM Qiskit Developer Challenge
Understanding the Complexity of Quantum Circuit Compilation
Hello Quantum: The Making of a Seriously Fun Quantum Game
Domain Experts, Welcome to Quantum: Introducing QISKit AQUA
Teach Me QISKit: We have a winner!
First IBM Q Hub in Asia to Spur Academic, Commercial Quantum Ecosystem
An Open High-Performance Simulator for Quantum Circuits
IBM Collaborating With Top Startups to Accelerate Quantum Computing
Quantum devices and simulators
IBM has several real quantum devices and simulators available for use through the cloud. These devices are accessed and used through Qiskit, and open source quantum software development kit, and IBM Q Experience, which offers a virtual interface for coding a quantum computer.
Learn the basics of quantum computing
Quantum computers could one day provide breakthroughs in many disciplines, including materials and drug discovery, the optimization of complex systems, and artificial intelligence. But to realize those breakthroughs, and to make quantum computers widely useable and accessible, we need to reimagine information processing and the machines that do it.
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IBM is rapidly driving scientific advancements and discovery in improving the functionality of quantum computers and realizing quantum’s potential to solve some of the today’s unsolvable problems in areas such as chemistry, machine learning and optimization.
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