Cambridge Quantum Computing (CQC)
has successfully completed a $45 million financing from investors including Honeywell
Ventures, IBM Ventures, JSR Corporation, Serendipity Capital, Alvarium Investments and
Talipot Holdings to further accelerate commercialization and consolidate its leadership position
in quantum computing software and applications.
There is no excerpt because this is a protected post.
Cambridge Quantum Computing (CQC) is pleased to confirm that the UK’s National Physics Laboratory (NPL) has announced that it will be supporting CQC in the development of its novel photonic based product for generating certifiable quantum entropy (also commonly referred to as certifiable QRNG).
Cameron Foreman, Sherilyn Wright, Alec Edgington, Mario Berta, Florian J. Curchod
Marcello Benedetti, Mattia Fiorentini, Michael Lubasch
CQC CEO Ilyas Khan speaks with Dr Koji Hirano from the Intelligent Algorithms Research Center at Nippon Steel Corp, one of the world’s largest steel producers with a history of innovation and technology advancement spanning many decades.
Access to Honeywell’s System Model H1 quantum computer is a unique value-added resource that supports CQC’s groundbreaking work with top- tier clients in areas ranging from machine learning, optimization, materials science, and life sciences.
Location: Teddington and/or central London (Currently home working within UK - flexible working available) Cambridge Quantum Computing (CQC) is dedicated to advanced scientific research and currently employs in excess of 100 people and over 70 scientists. With research teams focused on quantum software, quantum chemistry, quantum natural language processing, quantum machine learning and quantum cryptography,
Cambridge Quantum Computing (CQC) is pleased to announce the appointment of Mehdi Bozzo-Rey as Head of Business Development.
Location: London Victoria As part of our mission to expand our world class team Cambridge Quantum Computing’s Machine Learning (ML) team is searching for a Machine Learning Intern. This hire will support the development of new machine learning models for financial forecasting and the analysis of scientific research results. The intern will be assisting the