Quantum systems have discrete energy levels, and a qubit can exist in a combination of these states, known as superposition, until it is measured.
A qubit's state can be represented as a vector on the Bloch sphere, and quantum gates are matrices that perform operations like rotations or flips.
Learn how to use frameworks like IBM's Qiskit to build a circuit, apply gates, entangle qubits, and measure the probabilistic results on a simulator.
Subroutines like the Quantum Fourier Transform and phase estimation are building blocks for powerful algorithms like Shor's algorithm for factoring.
Explore the physical implementations of quantum computers, including systems based on NMR, superconducting circuits, and linear optics using photons.
Building quantum computers involves significant challenges like transpiling circuits for specific hardware, managing heat, and maintaining quantum states.
Quantum computing is an interdisciplinary field that draws on chemistry, physics, and even biology to solve complex problems and model natural phenomena.
The Q&A session addresses whether quantum computing is an evolution or revolution, its advantages for certain problems, and how to get started in the field.
28:26Alex Waldherr
43:21Alexandra Waldherr
34:14Isabell Heider & David Alber
28:04Alexander Pirker
31:17Julian Burr
33:26Jan-Rainer Lahmann
30:57Tomislav Tipurić, Alexander Glätzle & Jan Goetz
30:37Tomislav Tipurić
Jobs that call for the skills explored in this talk.
Delft Circuits B.V.
eleQtron GmbH
Fraunhofer-Gesellschaft