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1
Intro
2
Classical Computing
3
Quantum Mechanics
4
Quantum Computer: Gates
5
Cryogenic Environment
6
Beyond Classical Experiment
7
Output Distribution
8
Classically Verifiable Regime
9
Beyond Classical Regime
10
What can we do with it?
11
Quantum Dynamics
12
Variational Ansatz
13
Grow Time Evolution Operator
14
Test for Transverse Field Ising Model
15
Quantum Machine Learning
16
Quantum Neural Networks
17
Quantum Phase Recognition
18
Model & Concept
19
Sampling Complexity
20
Experiment: Results
21
Superconducting Qubits
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it 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. Read more

Quantum Computing Today and Tomorrow - Current State and Future Applications

NHR@FAU
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