Quantum Computing is one of the most disruptive and fast-paced disciplines of the present time.

For Data Science practitioners, understanding the main elements of the new paradigm (Superposition, measurement, entanglement, Qubits, etc) can be a daunting task. In this talk, we will try to explain the main elements of the Quantum world, mapping from already known concepts from classical computing when possible.

The talk will focus on familiarizing the audience with the main elements of Quantum Information, Quantum Algorithms and how open source tools are laying the foundation of future data processing methods with quantum computers, supported with practical examples.

The outline of the talk is as follows:

• The need for a new kind of computing
• Quantum phenomena and how it can be used for computing.
• Quantum circuits and algorithms: Manipulating quantum data.
• Python-based tools for simulated and real hardware experimentation (Qiskit, Rigetti Forest SDK, Pennylane)
• Conclusion