The MIT Technology Review has an interesting article on one specific way that quantum computing can revolutionize machine learning.
Feature matching is a technique that converts data into a mathematical representation that lends itself to machine-learning analysis. The resulting machine learning depends on the efficiency and quality of this process. Using a quantum computer, it should be possible to perform this on a scale that was hitherto impossible.
Researchers at IBM have drafted some new algorithms designed specifically to take advantage of quantum computers’ unique properties. The only catch is that we still need to build the computer.
While designing algorithms before the computers themselves may sound backwards, this has happened before. Computational models for conventional computers date back to the 1800s when Charles Babbage and Ada Lovelace were pondering mechanical computing devices.
From the article:
“We’ve developed a blueprint with new quantum data classification algorithms and feature maps. That’s important for AI because, the larger and more diverse a data set is, the more difficult it is to separate that data out into meaningful classes for training a machine learning algorithm. Bad classification results from the machine learning process could introduce undesirable results; for example, impairing a medical device’s ability to identify cancer cells based on mammography data.”
IBM has come up with a way to use quantum computers to improve machine learning algorithms, even though we don’t have anything approaching a quantum computer yet. The tech giant developed and tested a quantum algorithm for machine learning with scientists from Oxford University and MIT, showing how quantum […]
The very term “time crystal” conjures up all sorts of sci-fi imagery. It turns out that they are very real and may be a major breakthrough for quantum computing.
In this TED talk, Shohini Ghose explains how this technology holds the potential to transform medicine, create unbreakable encryption and even teleport information.
In case you’re wondering how far away quantum computing is from going mainstream, it’s worth noting that mainstream business magazines are taking note. For reference, mainstream business magazines happened to notice the internet about 2-3 years before it “blew up.”
This video about IBM Q is fascinating not just for the technology but also the focus on industrial design.
In this talk from Open FinTech Forum 2018, Bob Sutor will discuss the basics of the quantum computing technology, the motivation for quantum computing, and the outlook for the future.
Frame of Essence has a great overview of conventional encryption and the threats that quantum computers pose and how to deal with it.
In this YouTube video, Marissa Giustina addresses some basic questions about quantum computing. You’ll learn about what makes a quantum computer “quantum”, and what differentiates it from a standard computer.
In addition, you’ll get to see what some current quantum processors look like, and see the stack of hardware infrastructure needed to run the full system.
In this video, Siraj Raval explores the use of quantum computing in AI and, along with some wicked VFX, uses D-Wave’s new service.