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

- Frank
- June 18, 2022
- ibm quantum
- Machine Learning
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- Quantum
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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
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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
- 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#### Astor Perkins: Quantum Computing Panel

- Frank
- November 21, 2021
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The panel will be moderated by William Hurley, CEO of Strangeworks. Also on the panel are: – Peter Chapman, CEO & President of IonQ – Dan Caruso, Executive Chairman at ColdQuanta – Professor Winfred Hensinger from the University of Sussex – Dr. Joe Fitzsimons, CEO of Horizon Quantum Computing

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