Blog - Page 2 of 8 - Future of Computing

Orbital Materials: Shaping the Future of Machine Learning for Green Material Design

Orbital Materials uses advanced machine learning to better understand the world of atoms and develop better and greener materials.

Quobly leverages semiconductor technology to scale universal quantum computers to millions of silicon spin qubits.

Quantum Art develops develops ion trap quantum computers based on cutting-edge research from the Weizmann Institute of Science.

QEDMA Quantum Computing develops methods to mitigate errors to get optimal results from the current generation of quantum computers.

Entropica Labs creates the software layer to enable error correction and accelerate the arrival of useful, fault-tolerant quantum computers

QuantrolOx uses machine learning to pioneer the automated control of quantum computers, paving the way to scalable quantum computing

Qilimanjaro Quantum Tech develops coherent analog quantum computers to speed up the development of practical quantum computing solutions.

kiutra develops efficient, cryogen-free cryostats that facilitate scientific research and accelerate the development of quantum computers.

Dotphoton uses quantum physics to compress scientific images in a lossless way, leading to significantly reduced storage requirements.

Axelera AI is building an AI chip that leverages in-memory computing to outperform traditional chips for machine learning at the edge.