Quantum Computing
- 300+ Hours of training
- 450+ Hiring Partners
- Classroom & Live Online Training Available
- Hands-on training with assignments and capstone projects
- Next batch starts 10 Nov 2026 · Cohort Lhotse
DedicatedPlacement Assistance
About the Quantum Computing course
This course demystifies quantum computing for developers and curious minds alike. Starting from the limitations of classical computing, you'll build up to qubits, superposition, entanglement, and quantum gates, translating each abstract idea into intuition through visual demonstrations and guided exercises. You'll write and run simple quantum circuits using real toolkits, explore foundational algorithms like Grover's and Shor's at a conceptual level, and see how quantum approaches differ from — and complement — classical computation. No advanced physics or linear algebra background is assumed; everything is built up from first principles at a pace suited to working professionals.
Learn From The Real Forward Deployed Engineers And AI Experts
Guest lectures and mentorship from Forward Deployed Engineers working at leading companies.
Companies Hiring In This Field
Companies that recruit for roles in this field.
Amazon
IBMWho Should Do The Quantum Computing?
Who this program is built for.
- Working professionals looking to upskill or switch domains01
- M.Tech / M.E. graduates looking to specialize or pivot into a new tech track02
- B.Tech / B.E. graduates or final-year students in CS, IT, ECE, or related branches03
- BCA, MCA, or B.Sc / M.Sc (Computer Science, IT, or related) graduates04
- 05M.Com, B.Com, MBA, or BBA graduates
- 06Diploma holders in Computer Science, IT, or Engineering
- 07No prior coding experience required for beginner-track courses
- 08Final-year students and recent graduates from any stream
Quantum Computing Learning Path
Learn → Build → Deploy → Solve Real Problems → Get Placed
Tech Stack
Technologies & Tools
Placement Path
From your first class to your first offer letter, here is how we take you there.
Career Opportunities with Quantum Computing
Tap or hover a card to see what the role looks like day to day. Pay ranges are indicative market figures, not a guarantee of salary or placement.
Quantum Computing AnalystIndicative market pay: ₹6 – 9 LPA
Quantum Computing Analyst
A role you can aim for after Quantum Computing. We help you prepare with projects, mock interviews and resume reviews.
Quantum Software DeveloperIndicative market pay: ₹8 – 13 LPA
Quantum Software Developer
A role you can aim for after Quantum Computing. We help you prepare with projects, mock interviews and resume reviews.
Quantum Algorithms ResearcherIndicative market pay: ₹10 – 16 LPA
Quantum Algorithms Researcher
A role you can aim for after Quantum Computing. We help you prepare with projects, mock interviews and resume reviews.
R&D Engineer (Quantum)Indicative market pay: ₹9 – 14 LPA
R&D Engineer (Quantum)
A role you can aim for after Quantum Computing. We help you prepare with projects, mock interviews and resume reviews.
Quantum Simulation EngineerIndicative market pay: ₹10 – 15 LPA
Quantum Simulation Engineer
A role you can aim for after Quantum Computing. We help you prepare with projects, mock interviews and resume reviews.
Applied Quantum ScientistIndicative market pay: ₹14 – 20 LPA
Applied Quantum Scientist
A role you can aim for after Quantum Computing. We help you prepare with projects, mock interviews and resume reviews.
Everything That You Get by Enrolling in Quantum Computing
We've built this program with one goal — to guide, support, and uplift you at every stage of your career journey. From the first class to your first placement and beyond, every component has been created with your growth, confidence, and success in mind.
EMI Options Available
Placement Assistance
Collaborative Learning through Teamwork
Course Completion Certificate
Expert Career Guidance
Flexible Learning
ISO 9001:2015 Certified Institute
Hands on Project
Corporate-Ready Curriculum
Industry Expert Sessions
Internship programs
Mock Interview
Placement Mentorship
Resume Preparation Guidance
Recognised worldwide
ISO
IAF
MSME
DPIIT
Accreditation and Recognition from Top Industry Bodies
Our programs and certifications are affiliated with, and recognised by, globally respected standards and skill-development bodies.
Quantum Computing Curriculum
Comprehensive modules designed to build Quantum Computing skills step by step.
Master the Python needed to program quantum circuits and algorithms.
Key Topics
- Python basics, control flow, functions, modules & packages
- NumPy: matrices, complex numbers, tensor products, eigenvalues & eigenvectors
- Matplotlib: histograms, circuit diagrams, Bloch sphere plots
- Python OOP for Qiskit programs
- Jupyter Notebook / JupyterLab setup, magic commands
- Environments: Anaconda, pip install qiskit/pennylane/cirq, VS Code, Colab, IBM Quantum account
- Scientific computing: SciPy, SymPy, Pandas
Industry Relevance
Write Qiskit-ready PythonVisualize quantum statesSet up reproducible environmentsWork in Jupyter and the cloudBuild the physics and maths foundation needed to understand quantum systems.
Key Topics
- Classical computing: bits, logic gates, boolean algebra & its limits
- Physics foundations: wave-particle duality, quantum information science
- Intro to quantum computing: benefits, challenges, hardware, types of qubits
- Linear algebra: vectors, matrices, tensor products, bra-ket notation, unitary & Hermitian matrices
- Quantum mechanics primer: superposition, Born rule, Bloch sphere, entanglement, no-cloning
- Your first circuit in Qiskit: QuantumCircuit, registers, circuit drawing
- Quantum randomness: QRNG, quantum coin flip experiments
Industry Relevance
Read quantum notation confidentlyReason about qubits and measurementExplain quantum vs classical limitsBuild and draw first circuitsBuild circuits, run simulations and execute on real IBM quantum hardware.
Key Topics
- Qiskit architecture, QuantumCircuit API, measurement & classical control
- Gates: Pauli X/Y/Z, H, S, T, R, CNOT, Toffoli, CZ
- Qiskit Aer: statevector & qasm simulators, density matrix, noise models
- Primitives (Sampler, Estimator), IBM Quantum Runtime, sessions, transpilation, backend selection
- Noise & error mitigation: ZNE, measurement mitigation, twirling
- Real hardware execution & benchmarking: fidelity, gate errors
- Error correction: repetition & Shor codes, surface codes, stabilizer formalism
- Software practice: modular circuit design, testing, Git & GitHub
Industry Relevance
Run circuits on real IBM devicesMitigate hardware noiseBenchmark simulator vs deviceStructure quantum software projectsImplement the most important quantum algorithms, from search to optimization.
Key Topics
- Search & counting: Grover, amplitude amplification & estimation, quantum counting, GAS
- Oracle algorithms: Deutsch-Jozsa, Bernstein-Vazirani, Simon's
- Shor's factoring algorithm & modular exponentiation
- QFT, Quantum Phase Estimation, Iterative QPE, HHL (linear systems)
- Variational & hybrid: VQE, QAOA, VQD, VQS, Trotter-Suzuki, LCU
- Sampling & simulation: random circuit, boson & Gaussian boson sampling, glued-trees quantum walk
- Quantum ML algorithms: QSVM, qPCA, quantum kernels
- Hands-on: QFT, VQE and QAOA in Qiskit
Industry Relevance
Speed up search and optimizationUnderstand cryptographic impact of ShorSimulate molecules with VQECompare quantum and classical complexityUse quantum mechanics for secure communication.
Key Topics
- Quantum Key Distribution: BB84, E91, eavesdropping detection, Qiskit BB84
- Quantum teleportation, superdense coding, entanglement swapping, repeaters
- Post-quantum cryptography: lattice-based, NIST standards, migration
- Quantum internet: architecture, memory, routing, satellite-based QKD
Industry Relevance
Assess quantum threats to encryptionImplement QKD protocolsPlan post-quantum migrationUnderstand quantum networksCombine classical ML with quantum computing to build next-generation models.
Key Topics
- QML foundations: where quantum helps, data encoding (basis, amplitude, angle), feature maps
- Quantum classifiers: QSVM, Variational Quantum Classifier, QNN, parametrized circuits
- Quantum optimization: TSP, portfolio, QAOA, quantum annealing with D-Wave
- Hybrid models: PennyLane, quantum layers in PyTorch/TensorFlow
- Generative & advanced QML: QGAN, quantum Boltzmann machines, quantum autoencoders
- Tools: Qiskit Machine Learning, PennyLane, TensorFlow Quantum, classical-vs-quantum benchmarking
Industry Relevance
Build hybrid quantum-classical modelsBenchmark against classical MLApply QML to finance and drug discoveryUse PennyLane and Qiskit MLExplore the quantum ecosystem: simulators, cloud platforms and certification paths.
Key Topics
- Free tools: Qiskit, Cirq, Q#/Azure Quantum, PennyLane, ProjectQ, QuTiP, Jupyter
- Paid platforms: AWS Braket, D-Wave Leap, premium edX/Coursera/MIT xPRO courses
- Certifications: IBM Quantum Developer, Qiskit Global Summer School, Microsoft Learn paths
- Career roles: hardware engineer, algorithm developer, software engineer, applications scientist, QEC scientist, product manager
Industry Relevance
Pick the right platform per taskPlan a certification roadmapMap skills to quantum job rolesExperiment on free cloud tiersApply everything in beginner and advanced quantum projects.
Key Topics
- Projects: teleportation circuit, BB84 QKD simulation, VQC classifier, Grover & QAOA, QRNG, Bell state demo
- Development platforms: Qiskit Runtime, Aer, VS Code, Jupyter, Azure DevOps, GitHub Actions, Docker
- Capstone options: QML implementation, surface-code QEC simulation, VQE molecular energy, E91 QKD
- Hybrid quantum-classical ML pipeline & QAOA portfolio optimization
- Presentation & peer review; certification and research roadmap
Industry Relevance
Deliver an end-to-end quantum projectPresent technical work to peersBuild a GitHub portfolioChoose a research direction
The L&L AI Solutions Placement Mentorship Program
At L&L AI Solutions, we treat every learner as a professional in progress. Our Placement Mentorship Program pairs you with dedicated mentors who guide, support, and push you through every stage of your journey — from your first module to your final interview — so you leave not just trained, but genuinely ready to build a career in Quantum Computing.
Stage 01
Sharpen Your Fundamentals & Interview Confidence
You'll work closely with mentors who pressure-test what you know and flag exactly where to focus next. Through regular check-ins, simulated interviews, and guided practice, you'll build the technical clarity and communication confidence to hold your own in any interview — technical or HR.
Skill Gap Assessments
Confidence Coaching
Technical Interview Simulations
Weekly Progress Scorecards
HR Round Simulations
Concept Refresher Sessions
Communication Skill Coaching
Key Support
Stage 02
Map Your Career Path & Build Your Professional Profile
Get complete clarity on how placements actually work — the roles open to you, what employers expect, and where you're the strongest fit. With a mentor by your side, you'll rebuild your resume and LinkedIn profile around the roles you're targeting, so your profile reads as capable as you actually are.
Career Path Walkthroughs
What to Expect from Placements
Resume Rebuild Support
LinkedIn Profile Makeover
Role Eligibility Reviews
Personal Branding Guidance
Extra Upskilling Support
Key Support
Stage 03
Apply, Interview & Land the Role
This is where preparation turns into real opportunity. Our placement team matches your profile to live openings, preps you for each specific interview, coordinates directly with employers, and stays with you — feedback and all — until an offer is in hand.
Live Job Opportunities
Profile-to-Role Matching
Role Briefings
Application Support
1:1 Interview Prep
Interview Scheduling Help
Post-Offer Support
Key Support
Quantum Computing — FAQs
Everything you need to know about the course and admissions.
Classes are held live online and at our campus: 5th Floor, Draper Startup House Building, Rajiv Gandhi Nagar, Gachibowli, Hyderabad 500032.
An introduction to qubits, quantum gates, and quantum algorithms.
Eligibility depends on your background. See the "Who Should Do The Quantum Computing?" section on this page for the details.
The program runs for 6 Months.
The next cohort starts on 10 Nov 2026. Contact our admissions team to confirm seats and timings.
Yes. You receive a certificate of completion once you finish the program requirements.
Yes. We provide placement assistance, including mentorship, resume support and mock interviews. Placement assistance is not a guarantee of a job.
Yes. The course is built around hands-on practice and projects, ending with a capstone project you can add to your portfolio.
Yes. Mentors review your work and clear doubts throughout the program, not only during the capstone.
A laptop with a stable internet connection. Setup for the tools used is covered at the start of the course.
Our refund and cancellation terms are published on the Refund Policy page of this website. Please read them before you enrol, or ask our admissions team.
