Quantum Computing Today and Tomorrow - Current State and Future Applications

Explore the current state and future prospects of quantum computing in this 59-minute seminar by Prof. Dr. Michael Hartmann from FAU Erlangen-Nürnberg. Delve into the significant progress made in recent years, discussing possible applications at present and important next steps in the field. Learn about classical computing, quantum mechanics, and quantum computer gates, as well as the cryogenic environment required for quantum computing. Examine the output distribution, classically verifiable regime, and beyond classical regime of quantum computers. Discover practical applications in quantum dynamics, including the transverse field Ising model, and quantum machine learning, focusing on quantum neural networks and quantum phase recognition. Gain insights into sampling complexity and experimental results with superconducting qubits. This comprehensive overview provides a valuable perspective on the rapidly evolving field of quantum computing for researchers, students, and technology enthusiasts.

Intro
Classical Computing
Quantum Mechanics
Quantum Computer: Gates
Cryogenic Environment
Beyond Classical Experiment
Output Distribution
Classically Verifiable Regime
Beyond Classical Regime
What can we do with it?
Quantum Dynamics
Variational Ansatz
Grow Time Evolution Operator
Test for Transverse Field Ising Model
Quantum Machine Learning
Quantum Neural Networks
Quantum Phase Recognition
Model & Concept
Sampling Complexity
Experiment: Results
Superconducting Qubits