Algorithms

Gil Kalai’s Argument Against Quantum Computers – A Very Short Introduction

It is good to hear alternatives and from all sides of the Quantum debate and for that reason we introduce you to Prof. Gil Kalai. Gil has been one of the most vocal in sounding his objections against large scale Quantum Computers or HQCA (“Huge Quantum Computational Advantage”) , akin to quantum supremacy or quantum advantage. Gil has attracted comments from luminaries of the field such as Scott Aaronson. His latest post on this this (argument against quantum computing) has been published on his blog.

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Algorithms | Machine Learning | Quantum Machine Learning

Qiskit + PyTorch + Python = Quantum Machine Learning. Hybrid Quantum Machine Learning is getting easier.

For many in the classical Machine Learning community the question is when Quantum Computing gets pulled into the mix to create Hybrid Learning networks that consist of both classical and quantum components. As more and more researchers are looking at this lucrative area it should come as no surprise that it is possible to combine the classical and the quantum world to potentially exploit the best of both worlds.

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Algorithms | Quantum News

Phasecraft announces new research paper published by Physics and gains £3.7m funding

Phasecraft has made a breakthrough in quantum computing that will allow quantum theory to become a reality from mere research faster than ever. Dr. Ashley Montanaro led a team to develop and test new algorithms that can optimise and predict the needed quantum hardware capacity when running meaningful programs. This will let complex problem solving faster than classical supercomputers a reality.

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Algorithms

Quantum Natural Language Processing (QNLP) with Prof. Bob Coecke

Here at Quantum Zeitgeist we like to cover interesting applications of Quantum Computing, including Quantum Machine Learning. Now we cover an interesting look at Quantum Natural Language Processing. Classical NLP has taken the world by storm is actively used in many products. Could Quantum Computing provide a new direction in the pursuit of richer and smarter applications and products? We find out from Prof. Coecke.

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Algorithms | General Technology

Has DeepMind just cracked one of the biggest problems in Biology?

DeepMind isn’t just about teaching machine intelligence how to play games. Many of the projects the company is working on have very serious and very direct applications:especially when it comes down to biology. It should come as no surprise then to many that DeepMind is often cooking up something in their AI kitchen that could directly impact the ability to solve protein structure – the so called “Protein Folding” problem which has confounded researchers and scientists for decades.

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