Quantum Machines and Nvidia use machine learning to get closer to an error-corrected quantum computer

Quick Summary:

About a year and a half ago, quantum control startup Quantum Machines and Nvidia announced a deep partnership that would bring together Nvidia’s DGX Quantum computing platform and Quantum Machine’s advanced quantum control hardware.

Yonatan Cohen, the co-founder and CTO of Quantum Machines, noted how his company has long sought to use general classical compute engines to control quantum processors.

We didn’t hear much about the results of this partnership for a while, but it’s now starting to bear fruit and getting the industry one step closer to the holy grail of an error-corrected quantum computer.

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Article Details

Author / Journalist: Frederic Lardinois

Category: Technology

Markets: United States

Topics: Quantum Machines Nvidia Enterprise Quantum

Source Website Secure: Yes (HTTPS)

News Sentiment: Positive

Fact Checked: Legitimate

Article Type: News Report

Published On: 2024-11-02 @ 17:00:00 (10 hours ago)

News Timezone: GMT -5:00

News Source URL: techcrunch.com

Language: English

Article Length: 885 words

Reading Time: 5 minutes read

Sentences: 31 lines

Sentence Length: 29 words per sentence (average)

Platforms: Desktop Web, Mobile Web, iOS App, Android App

Copyright Owner: © TechCrunch

News ID: 23370972

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