Alexandra Waldherr
Schroedinger's cat: Thinking in- and outside the box of quantum mechanics
#1about 3 minutes
Schrödinger's cat and the quantum measurement problem
The famous thought experiment illustrates quantum superposition and how the act of measurement collapses a system into a single definite state.
#2about 4 minutes
The three core principles of quantum computing
Quantum computers derive their power from superposition, entanglement, and wave-particle duality which enables interference.
#3about 3 minutes
Representing quantum states with math and gates
Quantum states are represented as vectors and manipulated using gates, which are described by matrices in linear algebra.
#4about 3 minutes
Exploring the IBM quantum computing platform
A hands-on demonstration shows how to build quantum circuits using gates on the IBM Quantum platform's composer.
#5about 3 minutes
An overview of quantum algorithm classes
Quantum algorithms are categorized by their purpose, such as improving computational speed or simulating natural quantum systems.
#6about 4 minutes
Simulating molecular energy with OpenFermion
A code walkthrough demonstrates how to use OpenFermion and Cirq to calculate the Hamiltonian and simulate an ammonia molecule.
#7about 2 minutes
Comparing different types of quantum hardware
An overview of the physical implementations of qubits, including ion traps, superconducting circuits, and photonic systems.
#8about 1 minute
Key players and platforms in quantum computing
A look at the major companies developing quantum computers and software, including IBM, Google, and Microsoft.
#9about 3 minutes
Practical applications like quantum cryptography
Quantum principles enable new applications like perfectly secure communication through quantum key distribution (QKD).
#10about 3 minutes
The future of quantum hardware and learning resources
Quantum computers are becoming more practical with room-temperature ion traps, and many resources are available for learning.
#11about 10 minutes
Q&A on qubit scaling, observation, and measurement
The speaker clarifies the difference between physical and logical qubits and discusses various interpretations of the measurement problem.
#12about 4 minutes
Q&A on machine learning and qubit interaction
The speaker discusses the current state of quantum machine learning and how qubit interactions like entanglement are leveraged.
Related jobs
Jobs that call for the skills explored in this talk.
zeb consulting
Frankfurt am Main, Germany
Junior
Intermediate
JavaScript
HTML
+1
Wilken GmbH
Ulm, Germany
Senior
Kubernetes
AI Frameworks
+3
Matching moments
04:57 MIN
Increasing the value of talk recordings post-event
Cat Herding with Lions and Tigers - Christian Heilmann
04:49 MIN
Using content channels to build an event community
Cat Herding with Lions and Tigers - Christian Heilmann
03:17 MIN
Selecting strategic partners and essential event tools
Cat Herding with Lions and Tigers - Christian Heilmann
01:32 MIN
Organizing a developer conference for 15,000 attendees
Cat Herding with Lions and Tigers - Christian Heilmann
02:39 MIN
Establishing a single source of truth for all data
Cat Herding with Lions and Tigers - Christian Heilmann
02:44 MIN
Rapid-fire thoughts on the future of work
What 2025 Taught Us: A Year-End Special with Hung Lee
03:39 MIN
Breaking down silos between HR, tech, and business
What 2025 Taught Us: A Year-End Special with Hung Lee
04:27 MIN
Moving beyond headcount to solve business problems
What 2025 Taught Us: A Year-End Special with Hung Lee
Featured Partners
Related Videos
What is quantum computing?
Alex Waldherr
Quantum Computing - The tiny and the big challenges
Alex Waldherr
Quantum Computing for Classical Developers
Julian Burr
Going Quantum: The future of the internet ...
Alexander Pirker
The Quantum Computing Future
Tomislav Tipurić, Alexander Glätzle & Jan Goetz
Quantum computing for developers: Solving optimization problems with Qiskit
Isabell Heider & David Alber
The Quantum Leap: Redefining Computing and Its Applications
Tomislav Tipurić
Hands-on Journey to Quantum Computing with IBM
Jan-Rainer Lahmann
Related Articles
View all articles



From learning to earning
Jobs that call for the skills explored in this talk.

Forschungszentrum Jülich GmbH
Jülich, Germany
Intermediate
Senior
Linux
Docker
AI Frameworks
Machine Learning


Quandela
Canton de Massy, France
Senior
Azure
DevOps
Python
Kubernetes
Machine Learning
+2


Oxford Quantum Circuits
Oxford, United Kingdom
Senior
DevOps
Python


Zhaw Zürcher Hochschule Für Angewandte
Zürich, Switzerland
Machine Learning

ETH Zürich
Zürich, Switzerland
Microsoft Office

Fraunhofer-Gesellschaft
Nürnberg, Germany
API
C++
Linux
Python
Machine Learning