This course will give an overview of the experimental state of the art of quantum technology for Quantum Information Processing (QIP). We will explore some of the most promising approaches for realizing quantum hardware and critically assess each approach' ...
A broad view of the diverse aspects of the field is provided: quantum physics, communication, quantum computation, simulation of physical systems, physics of qubit platforms, hardware technologies. Students will grasp the field as a whole and better orient ...
After recapping the basics of quantum theory from an information
theoretic perspective, we will cover more advanced topics in
quantum information theory. This includes introducing measures of quantum information, and developing a more advanced understandin ...
The course explains how to execute scalable algorithms on fault-tolerant quantum computers. It describes error correction used to build reliable logical operations from noisy physical operations, and how quantum programs are mapped into logical operations ...
This course introduces quantum computing, starting with quantum mechanics and information theory. It covers the quantum circuit model, universal gates, foundational quantum algorithms, noise, quantum error correction, NISQ quantum algorithms, and an overvi ...
After introducing the foundations of classical and quantum information theory, and quantum measurement, the course will address the theory and practice of digital quantum computing, covering fundamental and advanced topics such as recent quantum algorithms ...
This course provides an in-depth treatment of the latest experimental and theoretical topics in quantum sciences and technologies, including for example quantum sensing, quantum optics, cold atoms, theory of quantum measurements and open dissipative quantu ...