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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

Sold by annant gyan knowledge and skills private limited · Service Provider , Service Center, Professional Services · Buxar, Bihar, India

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₹ 5.67 /Numbers

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India

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annant gyan knowledge and skills private limited

Service Provider , Service Center, Professional Services · Buxar, Bihar, India

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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2018

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1–10

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NOT SHARED

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Not shared

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Global markets

GlobalLinker Member Since

Jul 2018

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100000 - 2500000.

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Overview

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

Product Description

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. 

======

Amar Nath Dubey

Founder & Director

Annant Gyan Knowledge and Skills Private Limited

Contact number: *****

Mail Id: *****/ ann*****

website: www.annantgyan.com

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Linkedin: *****linkedin.com/company/annant-gyan-knowledge-and-skills-private-limited

Facebook: *****facebook.com/annantgyan

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WhatsApp Channel link: *****channel/0029Va9jFS8Jf05hvP8uUw2k

Instagram: *****instagram.com/annantgyan/

Description provided by annant gyan knowledge and skills private limited.

Specifications

Product Title	Quantum Machine Learning and Quantum Deep Learning: Theory, Algorithms, and Applications [QCAI-2026]
Store Name	Annant Gyan Knowledge And Skills Private Limited
Program Type	FDP/SDP
Delivery Mode	Online
Program Duration	One Week
Program Dates	13 April 2026 to 18 April 2026
Days	Monday to Saturday
Daily Timing	6:30 PM to 8:00 PM
Session Time	6:30 PM to 7:45 PM
Q&A Time	7:45 PM to 8:00 PM
Program Fee	₹500
Payment Mode	QR Code or UPI/VPA
UPI/VPA	annantgyan@icici
Resource Person	Prof. (Dr.) Debabrata Datta
Affiliation	Heritage Institute of Technology, Kolkata

Use cases

Category	Training Services > Faculty Development Program > Quantum Computing Training
Primary application	Wholesale, distribution, and international sourcing
Brand	Not specified
Product type	Service

Logistics & handling

Lead time	On request
Packaging	As per buyer requirement
Storage condition	As recommended by supplier
Origin	India
Form	As listed by supplier

Commercials (this seller)

Minimum order	1 Numbers
Lead time	On request
Payment terms	As per negotiated commercial agreement.
Checkout type	enquiry

Buyer questions

Frequently asked by buyers

Common questions B2B buyers ask before sourcing "Quantum Machine Learning and Quantum Deep Learning: Theory, Algorithms, and Applications" [QCAI-2026]. Answers compiled from verified sellers' commercial terms and platform data.

Q: What makes this FDP/SDP different from a general quantum computing workshop?

A: This program is specifically focused on Quantum Machine Learning and Quantum Deep Learning, with detailed coverage of QML algorithms, hybrid quantum models, quantum neural networks, QCNN, qSVM, and real application areas such as disease classification, traffic optimization, and quantum ARIMA.

Q: Does the program include both theoretical and application-oriented learning?

A: Yes. The sessions cover foundational quantum computing theory, algorithm design, and practical applications in physics, healthcare, operations research, and time series analysis.

Q: Who is the resource person for QCAI-2026?

A: The resource person is Prof. (Dr.) Debabrata Datta, a retired nuclear scientist from Bhabha Atomic Research Centre and Joint Director-Research & Development & Professor at Heritage Institute of Technology, Kolkata.

Q: What advanced models are covered in this program?

A: The program includes Variational Quantum Algorithms (VQA), Variational Quantum Eigensolver (VQE), Variational Quantum Circuits (VQC), Quantum Support Vector Machine (qSVM), Quantum Neural Networks (QNN), Quantum Convolutional Neural Networks (QCNN), and Quantum Recurrent Networks.

Q: Is this program suitable for researchers working on applied AI and data science?

A: Yes. The program is highly relevant for researchers in AI, data science, computational physics, and interdisciplinary domains that are exploring quantum-enhanced learning methods.

Q: Are real-world use cases included in the curriculum?

A: Yes. The program includes use cases such as classification of non-communicable diseases, heart disease prediction, lung cancer detection, urban traffic optimization, quantum thermography, and solutions to Burgers’ equation.

Q: What is the daily format of the sessions?

A: The program runs daily from 6:30 PM to 8:00 PM, with the main lecture from 6:30 PM to 7:45 PM and a dedicated Q&A session from 7:45 PM to 8:00 PM.

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