Limited launch offer: 46% off. Enroll for $270 per level instead of $500. Free introductory sessions available.
Applied Quantum Logistics Training

Build practical quantum workflow skills for real decision problems.

KITE trains students to move from data review to decision problem framing, then into baseline execution, Qiskit-based workflow execution, comparison, and professional technical explanation.

Choose your program

Each level is priced at $270 individually. Enroll in both together for $500 and save $40.

Level 1 · 8 Weeks · $270

Level 1 Foundation

Foundation training using Python, Jupyter notebooks, VS Code, sanitized logistics datasets, classical baseline workflows, and Qiskit-based workflow notebooks.

KITE is currently scheduling Level 1 sessions for corporate partners, with the first cohort beginning 15 June 2026. Enrollment for university students will open once KITE has confirmed alignment with institutional summer academic schedules. Interest registrations are welcome now.

Register Interest — Level 1
Level 2 · 8 Weeks · $270

Level 2 Advanced

Advanced department-style training with larger scenarios, deeper optimization decisions, and advanced prioritize, allocate, and relocate workflows.

Level 2 is available to students who have completed Level 1 Foundation or can demonstrate equivalent experience.

Register Interest — Level 2
BEST VALUE
Level 1 + Level 2 · Bundle

Complete Program Bundle

Enroll in both Level 1 Foundation and Level 2 Advanced together at a discounted bundle price.

$500 both levels
Save $40 vs enrolling separately ($270 × 2 = $540)
Enroll Bundle — $500

Level 1 curriculum map

A structured 8-week academic track designed for universities, mixed-level learners, and formal training cohorts.

⬇ Download Full Course Outline PDF Level 1 + Level 2 weekly course map, deliverables, and program details

What students learn

Technical workflow

Open and run structured Python/Jupyter notebooks with disciplined execution steps.

Decision framing

Identify objectives, variables, constraints, feasible choices, and scoring logic.

Professional explanation

Compare baseline and Qiskit-based outputs and explain results using technical language.

Python / Jupyter operation

Run notebooks, read cells, reset and rerun workflows with confidence.

Logistics dataset review

Read sanitized logistics tables and identify scenario inputs and operational signals.

Short technical reporting

Prepare structured technical reports and final presentations from workflow results.

Free Introductory Sessions

Discover the fundamentals of quantum computing, explore its transformative applications across industries, and understand the emerging opportunities in the quantum workforce — all designed for beginners with no prior knowledge required.

Free introductory sessions are available to enrolled Level 1 students or by invitation with a valid access code.

Register for Introductory Sessions

Program options

Standard

8 weeks per level

Best for schools, universities, formal cohorts, and mixed-experience students.

Accelerated

4 weeks per level

Best for advanced students or students with coding and Jupyter experience.

Introductory Series

Multi-session introductory classes

A structured series of introductory classes covering quantum fundamentals, industry applications, and workforce opportunities — ideal for beginners exploring the field.

Student deliverables

This is the proof that the program is not just a notebook demo.

Scenario worksheet

Completed analysis of the logistics scenario inputs and decision variables.

Baseline result

Output from the classical baseline workflow with scoring and feasibility review.

Qiskit-based result

Output from the Qiskit-based workflow notebook execution.

Comparison explanation

Structured comparison of baseline vs Qiskit-based outputs.

Short technical report

Written report summarizing the scenario, process, and findings.

Final presentation

Presentation or reflection showing end-to-end understanding of the workflow.

Paid internship opportunity

Top-performing students may be invited to apply for paid internship or project-based opportunities with KITE.