25-29 January 2019
US/Pacific timezone

Open-source scientific computing for quantum technology: QuTiP

26 Jan 2019, 14:30
Building 66- Auditorium (LBL-Hill)

Building 66- Auditorium


Lawrence Berkeley National Lab Berkeley, California
Open-source tools and quantum machine learning Open-source tools and quantum machine learning


Dr Nathan Shammah (RIKEN)


I address the growth of open-source software in scientific research and quantum technology research in particular, both in academia and industry. I will give a brief overview of multiple open-source libraries being developed to study quantum systems, using a variety of hybrid techniques, from chemistry to machine learning. QuTiP, the Quantum Toolbox in Python, has established itself as a major tool in the quantum optics community to study open quantum systems. Due to its capability to model noisy quantum systems, QuTiP is also being used by many players in the field of quantum computing, from startups to corporate research labs. The success of QuTiP lies in the development of an integrated environment to address quantum-specific tasks such as solving complex-valued ODEs and dealing with special algebras. I will give an overview of recent developments in QuTiP, focusing on the integration of permutational invariant techniques, which allow us to efficiently study cooperative effects in driven-dissipative many-body quantum systems out of equilibrium. Finally, I show the simple steps leading to the development of open-source tools for scientific exploration in quantum technology and how this can benefit the research community.

Primary author

Dr Nathan Shammah (RIKEN)


Prof. Franco Nori (RIKEN) Dr Neill Lambert (RIKEN) Mr Shahnawaz Ahmed (Chalmers and RIKEN) Dr Simone De Liberato (University of Southampton)

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