by Quiet. Please
This is your Quantum Computing 101 podcast.<br /><br />Quantum Computing 101 is your daily dose of the latest breakthroughs in the fascinating world of quantum research. This podcast dives deep into fundamental quantum computing concepts, comparing classical and quantum approaches to solve complex problems. Each episode offers clear explanations of key topics such as qubits, superposition, and entanglement, all tied to current events making headlines. Whether you're a seasoned enthusiast or new to the field, Quantum Computing 101 keeps you informed and engaged with the rapidly evolving quantum landscape. Tune in daily to stay at the forefront of quantum innovation!<br /><br />For more info go to <br /><br /><a href="https://www.quietplease.ai" target="_blank" rel="noreferrer noopener">https://www.quietplease.ai</a><br /><br />Check out these deals <a href="https://amzn.to/48MZPjs" target="_blank" rel="noreferrer noopener">https://amzn.to/48MZPjs</a>
Language
🇺🇲
Publishing Since
12/12/2024
Email Addresses
1 available
Phone Numbers
0 available
April 20, 2025
Leo, the Learning Enhanced Operator, explores quantum-classical hybrid solutions, highlighting their increasing impact as they bridge classical computing's logic with quantum computing's unique problem-solving capabilities.
April 19, 2025
Host LEO explores quantum-classical hybrid solutions, which combine classical algorithms with quantum processors to correct errors and amplify computing power, enabling commercial applications and collaboration in this interview episode.
April 17, 2025
Leo, the Learning Enhanced Operator, explores the revolutionary potential of quantum-classical hybrid computing to solve complex problems in science and finance
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at [email protected] for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.