#### 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
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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
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- Machine Learning
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- Quantum
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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
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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
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- Machine Learning
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- Research Seminar
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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
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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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