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Quantumly ∆x

Quantumly ∆x

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A group for graduate computer science & physics students with aspirations of becoming quantum computing researchers. Quantum computing books, jobs and papers are among the topics covered.

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Quantumly ∆x
Quantumly ∆x
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https://qtml-2023.web.cern.ch/

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10 short episodes on Quantum physics.

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div_class_title_the_state_of_quantum_computing_applications_in_health.pdf6.96 KB

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Each week, I will provide a question on a key concept in quantum mechanics or quantum computing for you to independently work
Each week, I will provide a question on a key concept in quantum mechanics or quantum computing for you to independently work through. These weekend challenges are intended as thought-provoking exercises to sharpen your skills through active engagement with foundational topics. I am eager to see the innovative techniques you devise while tackling these principles. Source: https://lnkd.in/dhqHFJVx

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The Vector Institute held an all-day workshop to showcase recent research in quantum machine learning: https://www.youtube.co
The Vector Institute held an all-day workshop to showcase recent research in quantum machine learning: https://www.youtube.com/watch?v=qGreLyEl9Mk&t=1482s&ab_channel=VectorInstitute

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https://indico.fnal.gov/event/57249/contributions/ Dozens of lecture notes from the recent FermiLab conference.

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Our weekly newsletter: https://www.linkedin.com/pulse/from-ai-quantum-computing-my-journey-through-higher-jhu-kashani/

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Intro_to_QC_Vol_1_Loceff.pdf5.20 MB

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A long article and not a one short nonsense paragraph ...

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Quantum_computation_I.pdf4.61 KB

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Prof. Masatsugu Sei Suzuki from the Department of Physics, SUNY at Binghamton, wrote composed around 500 PDF files in all areas of quantum mechanics and quantum computing. More here: https://bingweb.binghamton.edu/~suzuki/QuantumMechanics.html

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QC- Professor Rahul Simha.pdf19.06 MB

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In my perspective, this is the best (400 pages long) introductory text on quantum computing. No other book offers such an abundance of examples and visualizations. I extend my gratitude to the author, Professor Rahul Simha, for his invaluable contribution.

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While the information provided in this book was not useful for my needs, it may still prove valuable for your own purposes.

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https://link.springer.com/content/pdf/10.1007/978-3-030-40245-7.pdf

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https://ben.land/post/2022/03/09/quantum-mechanics-simulation/

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Two incredible lists of Diffusion models. https://scorebasedgenerativemodeling.github.io/ https://github.com/diff-usion/Aweso
Two incredible lists of Diffusion models. https://scorebasedgenerativemodeling.github.io/ https://github.com/diff-usion/Awesome-Diffusion-Models And if you are interested getting into score-based diffusion models, I highly recommend: "Stochastic Processes and Applications Diffusion Processes, the Fokker-Planck and Langevin Equations" by Grigorios A. Pavliotis.