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This is the podcast version of this article!
This is the podcast version of this article!
Music by Maksym Dudchyk from Pixabay.
This is the podcast version of this article.
Music by Denis Pavlov from Pixabay.
*correction towards the end “millions” instead of “billions”
This is the podcast version of this article.
Music by kaveesha Senanayake from Pixabay.
This is the podcast version of this article.
Music by kaveesha Senanayake from Pixabay.
This is the podcast version of this article!
For any confusion/confusing terms, check out our Ultimate Quantum Glossary!
Music by kaveesha Senanayake from Pixabay.
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*for anyone who noticed at 1m 30s I meant to say ‘Michel’ not ‘Michael’ whoops…
This is the podcast version of this post.
If you are unsure on any technical terms, check out the Ultimate Quantum Glossary.
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To read the article version, head to the SubStack page:
If you are unsure on any technical terms, check out the Ultimate Quantum Glossary.
One of the main benefits of using quantum computers over classical ones is simply because quantum computers can handle large amounts of data with ease. Quantum computers can help to simulate incredibly complex systems whilst using less resources - making them more efficient and less costly than their classical counterpart. You might expect, therefore, that quantum computers would have a role to play in medical research and within hospitals. Perhaps they could simulate new drugs or help identify medical conditions at a faster rate? Indeed, there has been significant development towards this goal, however we are not quite at a useful stage yet. Within this week’s article, we will look at some novel approaches to unifying quantum computing and medicine. We will also address some of the corresponding challenges and discuss which organisations are trying to overcome them. Let’s dive in then!
Starting out with Quantum Computing is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.
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