The famous thought experiment illustrates quantum superposition and how the act of measurement collapses a system into a single definite state.
Quantum computers derive their power from superposition, entanglement, and wave-particle duality which enables interference.
Quantum states are represented as vectors and manipulated using gates, which are described by matrices in linear algebra.
A hands-on demonstration shows how to build quantum circuits using gates on the IBM Quantum platform's composer.
Quantum algorithms are categorized by their purpose, such as improving computational speed or simulating natural quantum systems.
A code walkthrough demonstrates how to use OpenFermion and Cirq to calculate the Hamiltonian and simulate an ammonia molecule.
An overview of the physical implementations of qubits, including ion traps, superconducting circuits, and photonic systems.
A look at the major companies developing quantum computers and software, including IBM, Google, and Microsoft.
Quantum principles enable new applications like perfectly secure communication through quantum key distribution (QKD).
Quantum computers are becoming more practical with room-temperature ion traps, and many resources are available for learning.
The speaker clarifies the difference between physical and logical qubits and discusses various interpretations of the measurement problem.
The speaker discusses the current state of quantum machine learning and how qubit interactions like entanglement are leveraged.
25:46Alex Waldherr
28:26Alex Waldherr
31:17Julian Burr
28:04Alexander Pirker
34:14Isabell Heider & David Alber
30:57Tomislav Tipurić, Alexander Glätzle & Jan Goetz
30:37Tomislav Tipurić
33:26Jan-Rainer Lahmann
Jobs that call for the skills explored in this talk.
eleQtron GmbH
Delft Circuits B.V.
Fraunhofer-Gesellschaft