Time to Welcome - “The Quantum Deep Learning”

The Quantum World is Approaching Us

The MIT xPRO - Quantum Computer Ai, highlighted the status of quantum AI by using the evidence - "A recent report by Gartner states that by 2023, 20% of organizations will be budgeting for quantum computing projects. "?

Similarly, according to (https://www.dwavesys.com/), - "Over 80% of Enterprises Are Looking to Move Forward with Their Quantum Computing Efforts with Increased Funding and Resources". After going through a detailed search, I got a lot of evidence of the growing demand for Quantum AI in the near future. Even, most of the traditional deep learning libraries and platforms purposefully added the quantum deep learning components to their existing libraries and platforms.

My Weekend Efforts for The Opensource Communities

So, I decided to dedicate this weekend to welcoming the "Quantum AI" - through the simplest available set of Quantum Deep learning tutorials. The main aim behind this effort is to show the easiest possible transition path to traditional deep learning practitioners. Hope this effort will add some solid bricks toward mastering Quantum deep learning. But for this, you have to go through step-by-step (as complete in form of different parts of the tutorial). The following contains a systematically organized set of tutorials (divided into six parts).

An Ordered List of Video Tutorials on Quantum Deep Learning

Part-1

Part-2

Part-3

Part-4

Part-5

Part-6

Reference:

1. Barenco, Adriano; Bennett, Charles H.; Cleve, Richard; DiVincenzo, David P.; Margolus, Norman; Shor, Peter; Sleator, Tycho; Smolin, John A.; Weinfurter, Harald (1995-11-01). "Elementary gates for quantum computation". Physical Review A. American Physical Society (APS). 52 (5): 3457–3467. arXiv:quant-ph/9503016
2. Garg, Siddhant, and Goutham Ramakrishnan. "Advances in quantum deep learning: An overview." arXiv preprint arXiv:2005.04316 (2020).
3. Cong, Iris, Soonwon Choi, and Mikhail D. Lukin. "Quantum convolutional neural networks." Nature Physics 15, no. 12 (2019): 1273-1278.
4. Bokhan, D., Mastiukova, A. S., Boev, A. S., Trubnikov, D. N., & Fedorov, A. K. (2022). Multiclass classification using quantum convolutional neural networks with hybrid quantum-classical learning. arXiv preprint arXiv:2203.15368.
5. Rajesh, Varadi, and Umesh Parameshwar Naik. "Quantum Convolutional Neural Networks (QCNN) Using Deep Learning for Computer Vision Applications." In 2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT), pp. 728-734. IEEE, 2021.
6. Hur, Tak, Leeseok Kim, and Daniel K. Park. "Quantum convolutional neural network for classical data classification." Quantum Machine Intelligence 4, no. 1 (2022): 1-18.