From the blog

  • Learning quantum physics

Solving the quantum many-body problem with artificial neural networks

February 15th, 2017|Comments Off on Solving the quantum many-body problem with artificial neural networks

Working together, ETH Zurich and Microsoft QuArC researchers have provided the first application of machine-learning techniques to solve outstanding problems in quantum physics. The neural networks used in their study developed a genuine intuition of [...]

  • Design automation and design space exploration for quantum computers

Design automation and design space exploration for quantum computers

January 25th, 2017|Comments Off on Design automation and design space exploration for quantum computers

A major hurdle for quantum algorithms for linear systems of equations, and for quantum simulation algorithms, is the difficulty to find simple circuits for arithmetic. Prior approaches typically led to a large overhead in terms [...]

  • Common framework for scientific experiments: QCoDeS

Common framework for scientific experiments: QCoDeS

January 3rd, 2017|Comments Off on Common framework for scientific experiments: QCoDeS

QCoDeS is an open source data acquisition framework that was created by distilling the homegrown solutions used in Station Q's experimental labs, and infused with all the best practices from the open source software world. [...]

Apply to Station Q today

SEE WHAT THESE TEAMS ARE RECRUITING FOR