#### Bell’s Inequality: The weirdest theorem in the world that won a Nobel Prize in 2022

- Frank
- November 14, 2022
- 2.8
- Alain Aspect
- Algorithm
- Anton Zeilinger
- API
- bell's theorem
- bells inequality
- Coding
- Getting Started
- IBM
- IBM Research
- john bell
- John Clauser
- Jupyter
- nobel prize
- nobel prize 2022
- Open Source
- open-source
- Physics
- programming quantum computers
- qiskit
- Quantum
- quantum algorithms
- quantum computer programming
- Quantum Computers
- quantum information
- quantum machine learning
- Quantum Mechanics
- Quantum Physics
- quantum programming
- Qubit
- science
- theorem
- weird

John Clauser, Alain Aspect and Anton Zeilinger won the Nobel Prize in physics for 2022. Their work built off of one of the most important results in all of physics; Bells Theorem, invented by the late John Stewart Bell. Here we discuss why Bells Theorem is one of the most important, yet bizarre, results in […]

Read More#### Bell’s Inequality: The weirdest theorem in the world | Nobel Prize 2022

- Frank
- October 10, 2022
- 2.8
- Alain Aspect
- Algorithm
- Anton Zeilinger
- API
- bell's theorem
- bells inequality
- Coding
- Getting Started
- IBM
- IBM Research
- john bell
- John Clauser
- Jupyter
- nobel prize
- nobel prize 2022
- Open Source
- open-source
- Physics
- programming quantum computers
- qiskit
- Quantum
- quantum algorithms
- quantum computer programming
- Quantum Computers
- quantum information
- quantum machine learning
- Quantum Mechanics
- Quantum Physics
- quantum programming
- Qubit
- science
- theorem
- weird

This week John Clauser, Alain Aspect and Anton Zeilinger won the Nobel Prize in physics for 2022. Their work built off of one of the most important results in all of physics; Bells Theorem, invented by the late John Stewart Bell. The following videos discuss why Bells Theorem is one of the most important, yet […]

Read More#### Best College Majors for Quantum Computing

- Frank
- September 20, 2022
- Algorithm
- API
- Cloud
- Coding
- college
- Developer
- Development
- Getting Started
- hello world
- IBM
- IBM Research
- Jupyter
- Machine Learning
- majors
- Microsoft
- Open Source
- open-source
- Physics
- programming quantum computers
- Python
- qiskit
- Quantum
- quantum algorithms
- quantum computer programming
- Quantum Computers
- quantum computing majors
- quantum information
- quantum machine learning
- quantum majors
- Quantum Mechanics
- Quantum Physics
- quantum programming
- Qubit
- science
- SDK
- Software

Want a job in quantum but not sure where to start? If you’re still in school, the first choice you are going to have to make is your college major. Traditionally, most everyone working in quantum information science had a background in physics, but today that is not the case. In this video, Olivia discusses […]

Read More#### Quantum AI Algorithms and the Future of Quantum Computing

In this video Samuel Bosch talks about his PhD research at MIT in Quantum Artificial Intelligence. He also explain the basic concepts of quantum computers, and why they are superior to conventional computers for specific tasks. Prof. Peter Shor, the inventor of Shor’s algorithm and one of the founding fathers of Quantum Computing, kindly agreed […]

Read More#### Quantum-Enhanced Markov Chain Monte Carlo Simulations with David Layden

- Frank
- June 18, 2022
- ibm quantum
- Machine Learning
- qiskit
- Quantum
- Quantum Computing
- quantum computing 2021
- quantum computing algorithms
- quantum computing and cryptocurrency
- quantum computing applications
- quantum computing bitcoin
- quantum computing course
- quantum computing explained
- quantum computing for computer scientists
- quantum computing for dummies
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- quantum information
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- Qubit
- Research
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Here’s a talk by David Layden on Quantum-Enhanced Markov Chain Monte Carlo Abstract: Sampling from complicated probability distributions is a hard computational problem arising in many fields, including statistical physics, optimization, and machine learning. Quantum computers have recently been used to sample from complicated distributions that are hard to sample from classically, but which seldom […]

Read More#### Quantum Simulations of Topological Majorana Modes with Oles Shtanko

- Frank
- June 10, 2022
- ibm quantum
- Machine Learning
- qiskit
- Quantum
- Quantum Computing
- quantum computing 2021
- quantum computing algorithms
- quantum computing and cryptocurrency
- quantum computing applications
- quantum computing bitcoin
- quantum computing course
- quantum computing explained
- quantum computing for computer scientists
- quantum computing for dummies
- quantum computing lecture
- quantum information
- quantum machine learning
- Qubit
- Research
- Research Seminar
- seminar
- seminar series

Quantum Simulations of Topological Majorana Modes Abstract: Modern quantum devices can now outperform classical computers in physical simulations, which makes them an important tool for future physics research. As an example, I will focus on simulating the topological states of matter hosting Majorana modes — the exotic “half-electron” states. Observing Majorana modes in the lab […]

Read More#### From Many-Body to Many-Time Physics with Gregory A.L. White

- Frank
- June 6, 2022
- ibm quantum
- Machine Learning
- qiskit
- Quantum
- Quantum Computing
- quantum computing 2021
- quantum computing algorithms
- quantum computing and cryptocurrency
- quantum computing applications
- quantum computing bitcoin
- quantum computing course
- quantum computing explained
- quantum computing for computer scientists
- quantum computing for dummies
- quantum computing lecture
- quantum information
- quantum machine learning
- Qubit
- Research
- Research Seminar
- seminar
- seminar series

An interesting talk on quantum correlations and how they relate to quantum computing. Abstract: Quantum correlations in time have a surprisingly similar structure as spatial quantum correlations, formally related via the Choi-Jamiolkowski isomorphism. As a consequence, multi-time processes are endowed with the same richness as many-body physics, including temporal entanglement and well-defined causal structures. We […]

Read More#### Microwave Amplifiers for Quantum Information Processing with Florent Q. Lecocq

- Frank
- January 30, 2022
- ibm quantum
- Machine Learning
- qiskit
- Quantum
- Quantum Computing
- quantum computing 2021
- quantum computing algorithms
- quantum computing and cryptocurrency
- quantum computing applications
- quantum computing bitcoin
- quantum computing course
- quantum computing explained
- quantum computing for computer scientists
- quantum computing for dummies
- quantum computing lecture
- quantum information
- quantum machine learning
- Qubit
- Research
- Research Seminar
- seminar
- seminar series

Speaker Florent Q. Lecocq explains the use of microwave amplifiers for QIP. Abstract: In the late 2000s, the application of low-noise parametric amplifiers to cryogenic microwave measurements revolutionized the field of quantum information processing with superconducting circuits. For example, it enabled high-fidelity dispersive qubit readout, a ubiquitous tool in current superconducting quantum computers. Importantly, it […]

Read More#### Quantum Machine Learning in High Energy Physics

Sofia Vallecorsa, CERN Openlab AI and Quantum Research Lead, speaks at QHack 2021.

Read More#### What is Quantum Machine Learning?

- Frank
- February 19, 2021
- how does quantum machine learning work
- IRIS dataset
- quantum machine learning
- quantum machine learning python
- quantum machine learning qiskit
- quantum machine learning tutorial
- quantum neural network
- quantum neural network python
- quantum neural network qiskit
- quantum neural network tutorial
- what is a quantum neural network
- what is quantum machine learning

Quantum machine learning has attracted an enormous amount of interest in recent years but what actually is quantum machine learning? In this video Quantum Steve will go through the basics and show you how to build a quantum neural network that runs on a real quantum computer from IBM.

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