It is clear that in recent years quantum computing has moved from proof of principle demonstrations to emerging as a technology. This is an exciting time as theory, experiments, quantum software, and quantum hardware are merging into one and allowing the development of the first quantum stack. In this talk I will start by giving a (very) brief general overview of hardware we are building (superconducting qubits) and then focus on Qiskit . QISKit (https://github.com/QISKit/qiskit-sdk-py) is an open source Python quantum software development kit we are developing for writing quantum computing experiments, programs, and applications. It allows the user to program and run quantum applications on real quantum hardware using the IBM Q experience and local or online simulators. I will outline a simple quantum “hello world” program and show how QISKit can be used to make complicated quantum states and run more advanced applications.
Jay Gambetta
Jay Gambetta is a quantum information scientist researching in the field of quantum information and computation. He joined IBM in 2011 and is now the Manager of the Quantum Theory, Software, and Applications group. At IBM he has contributed to the work on quantum validation techniques such as randomized benchmarking and gate set tomography, quantum codes, improved gates and coherence, near term applications of quantum computing, the IBM Quantum Experience, and QISKit. Prior to IBM he held positions as at the Institute for Quantum Computing in Canada and was a Post-Doctoral Fellow at Yale University. In 2014 was named a Fellow of the American Physical Society, nominated by the topical Group of Quantum Information. He holds a doctorate in physics from Griffith University Australia and has over 90 publications with more than 10000 citations in field of quantum information science. Jay was a member of the panel “Quantum Computing: Far Away? Around the Corner? Or Maybe Both at the Same Time?” at the 50 Years of ACM AM Turing Award Celebration.
