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"Quantum Machine Learning and Quantum Deep Learning: Theory, Algorithms, and Applications" [QCAI-2026]

Name: "Quantum Machine Learning and Quantum Deep Learning: Theory, Algorithms, and Applications" [QCAI-2026]
SKU: 8612567
Price: 5.67 USD
Availability: InStock

Annant Gyan Knowledge And Skills Private Limited

Service Provider , Service Center, Professional Services — Buxar, Bihar, India · Replies in ~24–48 hours

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₹ 5.67 /Numbers In stock

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MOQ: 1 Numbers

Lead time: On request

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Origin: India

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1 Numbers

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On request

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India

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On request

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On request

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Standard export packaging

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As per product specification

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Global markets

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As per OEM brief

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Company Annant Gyan Knowledge And Skills Private Limited

Annant Gyan Knowledge And Skills Private Limited

The “Annant Gyan Knowledge and Skills Private Limited” is incorporated on dated 4th May 2018. The company is imparting knowledge and skills at different levels for national development. It works- To make learning reachable by certified online and offline courses/ workshops/ seminars/ skill development and training programs to everyone on minimum cost. To provide platform to work on innovative ideas/ projects and create opportunities for others.

Registered address: Buxar, India. Industry: Education › Education Related Services.

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Established

2018

Employees

1–10

GST

NOT SHARED

IEC code

Not shared

Export markets

Global markets

Member since

Jul 2018

Turnover

Less than $50,000

Incorporation type

On request

Appreciation Certificate

Product details

Greetings from Annant Gyan Knowledge and Skills Private Limited!

One week online FDP/ SDP on "Quantum Machine Learning and Quantum Deep Learning: Theory, Algorithms, and Applications" [QCAI-2026], has been scheduled from 13th April to 18th April 2026 (Monday to Saturday), Program Timing: 6.30 PM- 8.00 PM.

Registration Link: *****ESMWyW9Ybt8bDy2XA

Program Fee: ₹500/- only

Payment: via QR Code (in form) or UPI/VPA: annantgyan@icici

Resource Person: Prof. (Dr.) Debabrata Datta [Retired Nuclear Scientist, Bhabha Atomic Research Centre], Joint Director- Research & Development & Professor, Department of InformationTechnology, Heritage Institute of Technology, Kolkata, West Bengal, India

Session Time: 6:30 pm to 7:45 pm & Q&A: 7:45 pm to 8:00 pm

13.04.2026 (Monday): Fundamentals of quantum computing: Qubits, Superposition, Entanglement, Quantum Gates and quantum circuits

14.04.2026  (Tuesday): Introduction to Quantum Machine Learning (QML): Theoretical concepts, Toy QML problem introduces feature vector, data encoding, some general property of Hadamard operation, Measurement & output interpretation, Noisy algorithm (NISQ), Quantum Logistic Regression, QML Applications: Solving Burger’s Equation & Classification of Non-Communicable Diseases (NCDs)

15.04.2026  (Wednesday): Variational and Hybrid Quantum Models: Hybrid models, Variational Quantum Algorithms (VQA), Variational Quantum Eigensolver (VQE), Variational Quantum Circuits (VQC), Dual formalism in QML,Least-Squares SVM, Quantum Support Vector Machine (qSVM), Quantum Neural Networks (QNN): Theory and algorithm, Applications Heart disease prediction & Lung cancer detection

16.04.2026  (Thursday): Quantum Deep Learning and Physics-Inspired Models: Theoretical background, Data Handling through Quantum-Enhanced Machine Learning and the Study of Quantum Systems. Quantum physics inspired neural networks and its applications to damped oscillator and ecological systems

17.04.2026 (Friday): Quantum Unsupervised Learning: Quantum clustering, Quantum Thermography, Quantum Simulated Annealing, Urban traffic optimization using QML

18.04.2026(Saturday): Advanced Quantum Deep Learning & Future Directions: Quantum Convolutional Neural Networks (QCNN), Quantum Recurrent Networks, Time Series Analysis using Quantum ARIMA, Advantages and limitations of QML, Open research challenges in QML

For all upcoming programs (FDPs/ SDPs) and their registration links, also please visit at - *****Course-Registration

Also, please share the registration links among your contacts, institute / university/ departments for better reach and registration in this quality program. 