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QUBICON.AIAim Beyond Horizon

Frontier Tech · Advanced

Quantum AI & Quantum Computing for Industry

Hybrid quantum-classical AI, quantum machine learning and post-quantum security — taught on real quantum hardware via the cloud, for teams deciding where quantum will (and won't) pay off first.

6 weeksLive online, 2 sessions/week + cloud-quantum labs4.9 rating68 learners
A corridor of server racks in a modern data centre
Frontier Program in session

Quantum moved from theory to a cloud utility: IBM, Google (Willow) and Microsoft (Majorana) are racing toward fault-tolerant systems, hybrid quantum-classical workflows now run on real hardware, and the first credible demonstrations of quantum advantage are arriving. This program gives R&D, data-science and security teams a rigorous, hands-on map: how variational circuits and quantum machine-learning actually work, where quantum optimization and simulation help in finance, logistics, chemistry and risk, and — urgently — how to migrate to post-quantum cryptography before 'harvest-now, decrypt-later' becomes a breach. Labs run on Qiskit against cloud quantum backends.

Who it's for

R&D scientists, ML and data engineers, quants, and security architects evaluating quantum. Python required; linear-algebra comfort helpful.

Tools & stack

QiskitIBM Quantum (cloud)PennyLanePythonNumPyOpen-quantum-safe librariesQube copilot

What you'll walk away with

  • Explain qubits, entanglement and where quantum can beat classical — honestly
  • Build variational quantum circuits and quantum ML models in Qiskit
  • Apply quantum optimization and simulation to finance, logistics and chemistry
  • Design hybrid quantum-classical pipelines that call quantum as a service
  • Plan a post-quantum cryptography migration for your organisation

Curriculum

01Quantum foundations
  • Qubits, gates and entanglement without the hype
  • The 2026 hardware race: fault tolerance & error correction
  • Where quantum advantage is real
  • Lab: your first circuit on real hardware
02Quantum machine learning
  • Variational quantum circuits
  • Quantum kernels and quantum neural networks
  • Hybrid quantum-classical training loops
  • Lab: a QML classifier
03Optimization & simulation
  • Quantum optimization (QAOA) for logistics & risk
  • Quantum simulation for drug discovery & materials
  • Quantum-as-a-Service architectures
  • Lab: an optimization problem
04Post-quantum security
  • The quantum threat to RSA/ECC
  • NIST post-quantum standards
  • Crypto-agility & migration planning
  • Capstone: a quantum readiness roadmap

Pricing

Value-based

Two-part: a one-time enablement fee plus a per-seat rate that falls as the cohort grows.

Indicative rate card · ≈ ₹11,999/hr · $300/hr

Seats limited

Choose a cohort

New cohort dates announced weekly — enrol now and pick your dates with an advisor.

Request a quote

Pay by PO · nothing upfront · net 30 days · GeM & tender-ready

Or reserve a seat online

11,999deposit

Reserves your seat & dates. Balance invoiced per your engagement.

Secure · Razorpay · full refund 7+ days before start

Every enrolment includes

  • • Qube copilot access throughout
  • • All session recordings & materials
  • • Graded applied project with review
  • • Verifiable certificate on completion
  • • 30-day post-programme support

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