Quantum Computing Fundamentals For Professionals
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Quantum Computing Fundamentals For Professionals
Published 11/2025
Created by Learnsector LLP,Rajnish Tandon
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 29 Lectures ( 1h 40m ) | Size: 542 MB
A practical, business-friendly guide to quantum concepts, algorithms, platforms, and enterprise use cases with 2024-2025
What you'll learn
Understand the fundamentals of quantum computing in simple, practical terms
Explain qubits, superposition, entanglement, and quantum gates
Interpret quantum algorithms such as Grover's search and Shor's factoring at a high level
Identify real-world use cases across major industries
Understand quantum hardware, cloud platforms, and today's key players
Recognize enterprise opportunities and emerging quantum trends
Discuss how quantum computing impacts cybersecurity and post-quantum readiness
Make informed decisions or recommendations about quantum adoption in your organization
Requirements
No background in physics or advanced mathematics required
Basic understanding of computing or business processes is helpful but optional
Description
This course contains the use of artificial intelligence.Quantum computing is transitioning from niche research to strategic technology planning. In 2024-2025, vendor roadmaps, maturing error-mitigation research, and post-quantum cryptography timelines are shaping enterprise decisions even before large-scale fault tolerance arrives. Professionals who can interpret capabilities, constraints, and industry narratives are better positioned to evaluate vendors, set realistic expectations, and guide roadmaps.This theory-first course builds conceptual literacy across quantum information (states, qubits, measurement), circuit models and gate sets, algorithmic families (Grover, variational approaches, Shor's framework at a high level), noise and decoherence, hardware modalities (superconducting, ion traps, photonics, neutral atoms), and complexity notions (BQP, oracle models). It also frames enterprise patterns-optimization, simulation, and security-and introduces evaluation criteria, resource estimation logic, and quantum-safe migration concepts. No coding, tooling, or cloud lab work is required.What You Will LearnDefine qubits, quantum states, and measurement postulatesExplain superposition, interference, and entanglement with formal intuitionDescribe the circuit model: gates, universality, depth, and compilation intentSummarize Grover's algorithm and amplitude amplification mechanicsOutline variational algorithms (VQE/QAOA) and their objective landscapesContrast error mitigation and error correction in the NISQ contextCompare hardware platforms and interpret coherence, fidelity, and connectivity at a high levelUnderstand BQP and related complexity intuitions for feasibility thinkingApply resource estimation logic (qubit counts, depth, runtime order-of-magnitude) to scenariosMap optimization and simulation problem types to quantum or hybrid patternsAssess quantum-risk to cryptography and articulate PQC transition driversWho This Course Is For Technology strategists, product managers, security architects, solution and enterprise architects, data/AI leaders, and R&D managers who need a rigorous conceptual understanding without programming. Suitable for beginner to intermediate professionals; basic linear algebra familiarity is helpful but not mandatory.With 2024-2025 updates, this course includes the latest advances in quantum hardware, cloud-based platforms, enterprise adoption patterns, and technology roadmaps. By the end of the course, you'll have the clarity and confidence to evaluate quantum initiatives, understand industry conversations, and identify where quantum computing fits into your organizational strategy.
Who this course is for
Business leaders & managers exploring future technologies
Technology and engineering teams evaluating quantum adoption
Data analysts, data scientists & AI professionals
Cybersecurity and compliance professionals preparing for post-quantum shifts
Students and early-career learners interested in advanced computing
Professionals seeking a practical, non-mathematical introduction to quantum computing
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