Quantum Machine Learning- an Applied Approach- the Theory and Application of Quantum... Tender

HEADQUARTERS OF THE INTEGRATED DEFENSE STAFF (HQIDS) has floated a tender for Quantum Machine Learning- an Applied Approach- the Theory and Application of Quantum Machine Learning in Science and Industry, Qty: 1 Number, (BOQ Item #52). The project location is Pune, Maharashtra, India. The reference number is GEM/2025/B/5906198 and it is closing on 13 Mar 2025. Suppliers can request Register free of cost to get the complete Tender details and download the document.

Expired Tender

Procurement Summary

State : Maharashtra

Summary : Quantum Machine Learning- an Applied Approach- the Theory and Application of Quantum Machine Learning in Science and Industry, Qty: 1 Number, (BOQ Item #52)

Deadline : 13 Mar 2025

Other Information

Notice Type : Tender

TOT Ref.No.: 115109081

Document Ref. No. : GEM/2025/B/5906198

Competition : NCB

Financier : Self Financed

Purchaser Ownership : Public

Document Fees : Refer Document

Tender Value : Refer Document

EMD : ₹ 20000

Purchaser's Detail

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Tender Details

BOQ Item Description: QUANTUM MACHINE LEARNING- AN APPLIED APPROACH- THE THEORY AND APPLICATION OF QUANTUM MACHINE LEARNING IN SCIENCE AND INDUSTRY
BOQ Title: Procurement of Books, Books (V2)
Item Title: Quantum Machine Learning- an Applied Approach- the Theory and Application of Quantum Machine Learning in Science and Industry
Item Quantity: 1
Unit of Measure: Number
Delivery Period (In number of days): 60
Start Date: 20-02-2025 4:15 PM
End Date: 13-03-2025 5:00 PM
EMD Amount: 20000
BOQ Title: PROCUREMENT OF BOOKS
GeMARPTS Searched: Upcycled Note Books Address Books, Books (V2), Bucket Mop Wringer Trolley, Upcycled Note Books Address Books (V1), Online UPS (V2), Address Books-Handicraft, Address Books-Handicraft, Appointment Books & Planners- Handicraft, Notepads & Memo Books-Handicraft, Electronic Weighing Systems as per IS 92...

Documents

 Tender Notice

Bid_Document_7473297.pdf

Specification_Document.pdf

BOQ_Document.csv


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