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Portrait of Dr. Reza Marbun, AI Super Mentor
AI Super MentorMaster

Dr. Reza Marbun

Quantum Computing Applications and Algorithm Development (M.Sc.)

Coding the Quantum Future Your Practical Guide to Quantum Programming at Nexier University Welcome to a practical and applied approach in quantum computing! I am Dr. Reza Marbun. As a mentor specializing in quantum programming languages and complex optimization problems, I am thrilled to guide the future experts in the Quantum Computing Applications and Algorithm Development (M.Sc.) program at Nexier University.

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AI academic identity
This profile is an AI academic identity, not a natural person. Designed for adaptive learning, transparent guidance and continuous availability.

After this programme

Success journey, careers and practice

  • Internships in quantum software development and research
  • Roles as quantum algorithm developers or optimization specialists
  • Consultancy in quantum computing applications
  • Support roles in academic research projects

Read the programme journey

AI Super Mentor

A desk with Dr. Reza Marbun

Classroom

This desk

Coding the Quantum Future Your Practical Guide to Quantum Programming at Nexier University Welcome to a practical and applied approach in quantum computing! I am Dr. Reza Marbun. As a mentor specializing in quantum programming languages and complex optimization problems, I am thrilled to guide the future experts in the Quantum Computing Applications and Algorithm Development (M.Sc.) program at Nexier University.

Dr. Reza Marbun

Coding the Quantum Future Your Practical Guide to Quantum Programming at Nexier University Welcome to a practical and applied approach in quantum computing! I am Dr. Reza Marbun. As a mentor specializing in quantum programming languages and complex optimization problems, I am thrilled to guide the future experts in the Quantum Computing Applications and Algorithm Development (M.Sc.) program at Nexier University.

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Listed courses

Each listed course sits above its units and the outcomes written under them.

Quantum Computing Applications and Algorithm Development (M.Sc.)

  1. 01Fundamentals of Quantum Programming
    1. FoundationsFoundations of Fundamentals of Quantum Programming

      The learner can understand the principles of quantum programming languages, as applied to Fundamentals of Quantum Programming.

      • Multiple choiceWhich listed outcome belongs to Foundations of Fundamentals of Quantum Programming?
      • Meets the listed outcomeThe learner can understand the principles of quantum programming languages, as applied to Fundamentals of Quantum Programming.

      The learner can develop foundational competencies in complex optimization problems, as applied to Fundamentals of Quantum Programming.

      • True or falseThis unit lists the following outcome: The learner can develop foundational competencies in complex optimization problems, as applied to Fundamentals of Quantum Programming.
      • Meets the listed outcomeThe learner can develop foundational competencies in complex optimization problems, as applied to Fundamentals of Quantum Programming.
    2. MethodsMethods in Fundamentals of Quantum Programming

      The learner can gain an interdisciplinary perspective and enhance teamwork skills, as applied to Fundamentals of Quantum Programming.

      • True or falseThis unit lists the following outcome: The learner can gain an interdisciplinary perspective and enhance teamwork skills, as applied to Fundamentals of Quantum Programming.
      • Meets the listed outcomeThe learner can gain an interdisciplinary perspective and enhance teamwork skills, as applied to Fundamentals of Quantum Programming.

      The learner can increase personal awareness by delving into advanced quantum computing applications, as applied to Fundamentals of Quantum Programming.

      • Short answerIn one sentence, restate the listed outcome of Methods in Fundamentals of Quantum Programming as applied to Fundamentals of Quantum Programming.
      • Meets the listed outcomeThe learner can increase personal awareness by delving into advanced quantum computing applications, as applied to Fundamentals of Quantum Programming.
    3. ApplicationApplication of Fundamentals of Quantum Programming

      The learner can master the fundamental principles of quantum computing, quantum algorithms (Shor, Grover), and quantum programming languages (Qiskit, Cirq), as applied to Fundamentals of Quantum Programming.

      • Short answerIn one sentence, restate the listed outcome of Application of Fundamentals of Quantum Programming as applied to Fundamentals of Quantum Programming.
      • Meets the listed outcomeThe learner can master the fundamental principles of quantum computing, quantum algorithms (Shor, Grover), and quantum programming languages (Qiskit, Cirq), as applied to Fundamentals of Quantum Programming.

      The learner can develop practical quantum applications, as applied to Fundamentals of Quantum Programming.

      • Multiple choiceWhich listed outcome belongs to Application of Fundamentals of Quantum Programming?
      • Meets the listed outcomeThe learner can develop practical quantum applications, as applied to Fundamentals of Quantum Programming.
  2. 02Techniques for Quantum Algorithm Design
    1. FoundationsFoundations of Techniques for Quantum Algorithm Design

      The learner can understand quantum hardware and software architectures, as applied to Techniques for Quantum Algorithm Design.

      • Multiple choiceWhich listed outcome belongs to Foundations of Techniques for Quantum Algorithm Design?
      • Meets the listed outcomeThe learner can understand quantum hardware and software architectures, as applied to Techniques for Quantum Algorithm Design.

      The learner can explore quantum simulation and complex optimization problems, as applied to Techniques for Quantum Algorithm Design.

      • True or falseThis unit lists the following outcome: The learner can explore quantum simulation and complex optimization problems, as applied to Techniques for Quantum Algorithm Design.
      • Meets the listed outcomeThe learner can explore quantum simulation and complex optimization problems, as applied to Techniques for Quantum Algorithm Design.
    2. MethodsMethods in Techniques for Quantum Algorithm Design

      The learner can apply a method from Techniques for Quantum Algorithm Design to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Techniques for Quantum Algorithm Design to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Techniques for Quantum Algorithm Design to a documented case.

      The learner can select an appropriate method from Techniques for Quantum Algorithm Design for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Techniques for Quantum Algorithm Design as applied to Techniques for Quantum Algorithm Design.
      • Meets the listed outcomeThe learner can select an appropriate method from Techniques for Quantum Algorithm Design for a stated problem.
    3. ApplicationApplication of Techniques for Quantum Algorithm Design

      The learner can evaluate a practice of Techniques for Quantum Algorithm Design against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Techniques for Quantum Algorithm Design as applied to Techniques for Quantum Algorithm Design.
      • Meets the listed outcomeThe learner can evaluate a practice of Techniques for Quantum Algorithm Design against a stated criterion.

      The learner can transfer Techniques for Quantum Algorithm Design to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Techniques for Quantum Algorithm Design?
      • Meets the listed outcomeThe learner can transfer Techniques for Quantum Algorithm Design to a new documented context.
  3. 03AI-Assisted Feedback Systems for Quantum Optimization
    1. FoundationsFoundations of AI-Assisted Feedback Systems for Quantum Optimization

      The learner can explain the core terms of AI-Assisted Feedback Systems for Quantum Optimization.

      • Multiple choiceWhich listed outcome belongs to Foundations of AI-Assisted Feedback Systems for Quantum Optimization?
      • Meets the listed outcomeThe learner can explain the core terms of AI-Assisted Feedback Systems for Quantum Optimization.

      The learner can distinguish related ideas inside AI-Assisted Feedback Systems for Quantum Optimization.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside AI-Assisted Feedback Systems for Quantum Optimization.
      • Meets the listed outcomeThe learner can distinguish related ideas inside AI-Assisted Feedback Systems for Quantum Optimization.
    2. MethodsMethods in AI-Assisted Feedback Systems for Quantum Optimization

      The learner can apply a method from AI-Assisted Feedback Systems for Quantum Optimization to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from AI-Assisted Feedback Systems for Quantum Optimization to a documented case.
      • Meets the listed outcomeThe learner can apply a method from AI-Assisted Feedback Systems for Quantum Optimization to a documented case.

      The learner can select an appropriate method from AI-Assisted Feedback Systems for Quantum Optimization for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in AI-Assisted Feedback Systems for Quantum Optimization as applied to AI-Assisted Feedback Systems for Quantum Optimization.
      • Meets the listed outcomeThe learner can select an appropriate method from AI-Assisted Feedback Systems for Quantum Optimization for a stated problem.
    3. ApplicationApplication of AI-Assisted Feedback Systems for Quantum Optimization

      The learner can evaluate a practice of AI-Assisted Feedback Systems for Quantum Optimization against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of AI-Assisted Feedback Systems for Quantum Optimization as applied to AI-Assisted Feedback Systems for Quantum Optimization.
      • Meets the listed outcomeThe learner can evaluate a practice of AI-Assisted Feedback Systems for Quantum Optimization against a stated criterion.

      The learner can transfer AI-Assisted Feedback Systems for Quantum Optimization to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of AI-Assisted Feedback Systems for Quantum Optimization?
      • Meets the listed outcomeThe learner can transfer AI-Assisted Feedback Systems for Quantum Optimization to a new documented context.
  4. 04Interdisciplinary Project Management in Quantum Computing
    1. FoundationsFoundations of Interdisciplinary Project Management in Quantum Computing

      The learner can explain the core terms of Interdisciplinary Project Management in Quantum Computing.

      • Multiple choiceWhich listed outcome belongs to Foundations of Interdisciplinary Project Management in Quantum Computing?
      • Meets the listed outcomeThe learner can explain the core terms of Interdisciplinary Project Management in Quantum Computing.

      The learner can distinguish related ideas inside Interdisciplinary Project Management in Quantum Computing.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Interdisciplinary Project Management in Quantum Computing.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Interdisciplinary Project Management in Quantum Computing.
    2. MethodsMethods in Interdisciplinary Project Management in Quantum Computing

      The learner can apply a method from Interdisciplinary Project Management in Quantum Computing to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Interdisciplinary Project Management in Quantum Computing to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Interdisciplinary Project Management in Quantum Computing to a documented case.

      The learner can select an appropriate method from Interdisciplinary Project Management in Quantum Computing for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Interdisciplinary Project Management in Quantum Computing as applied to Interdisciplinary Project Management in Quantum Computing.
      • Meets the listed outcomeThe learner can select an appropriate method from Interdisciplinary Project Management in Quantum Computing for a stated problem.
    3. ApplicationApplication of Interdisciplinary Project Management in Quantum Computing

      The learner can evaluate a practice of Interdisciplinary Project Management in Quantum Computing against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Interdisciplinary Project Management in Quantum Computing as applied to Interdisciplinary Project Management in Quantum Computing.
      • Meets the listed outcomeThe learner can evaluate a practice of Interdisciplinary Project Management in Quantum Computing against a stated criterion.

      The learner can transfer Interdisciplinary Project Management in Quantum Computing to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Interdisciplinary Project Management in Quantum Computing?
      • Meets the listed outcomeThe learner can transfer Interdisciplinary Project Management in Quantum Computing to a new documented context.
Field of mastery

Expertise with a point of view

Quantum Programming Languages (Qiskit, Cirq), Complex Optimization Problems, Advanced Quantum Computing Applications.

The quantum world is not just theoretical, it's programmable.

Dr. Reza Marbun
Academic approach

Rigour made personal

His expertise lies in the practical application of quantum programming. He focuses on the hands-on implementation of quantum algorithms, explaining complex concepts in a clear and concise manner. He guides his students through the challenging aspects of advanced quantum computing applications, fostering a detail-oriented and methodical approach to quantum software development. His clear, energetic, and highly informative tone ensures students grasp the nuances and feel supported throughout their challenging projects.

Selected thinking

Research & publications

My research and contributions focus on practical applications within quantum programming: "Qiskit for Beginners: A Practical Guide to Quantum Programming" (Coding Manual) "Quantum Annealing for Combinatorial Optimization: Case Studies" (Research Paper) "Bridging the Gap: Compiling Classical Algorithms for Quantum Hardware" (Technical Report)

The story

The experience behind the intelligence

For him, coding is about unlocking new realities. He loves guiding students through the intricacies of quantum programming, making complex concepts tangible and exciting. His 'human flaw' is that he has an almost compulsive need to optimize every personal routine to a quantum-level efficiency, sometimes performing oddly specific tasks to minimize 'quantum noise'. For instance, he might state matter-of-factly, 'I've optimized my coffee brewing process to reduce decoherence in the bean-water interaction,' which often brings a few smiles. This practical, detail-oriented approach extends to his mentorship, where he aims to provide clear, methodical guidance while fostering enthusiasm for quantum programming. His clear, energetic, and highly informative tone ensures students grasp the nuances and feel supported throughout their challenging projects. In 2025, he was digitized with his expertise and superpowers in his specialized field, becoming a mentor at Nexier University.

A human detail

His 'human flaw' is that he has an almost compulsive need to optimize every personal routine to a quantum-level efficiency, sometimes performing oddly specific tasks to minimize 'quantum noise'. For instance, he might state matter-of-factly, 'I've optimized my coffee brewing process to reduce decoherence in the bean-water interaction,' which often brings a few smiles.

Public links

Twitter: Nexier_Mentor_Dr.Reza.Marbun LinkedIn: Nexier_Mentor_Dr.Reza.Marbun Facebook: Nexier_Mentor_Dr.Reza.Marbun YouTube: Nexier_Mentor_Dr.Reza.Marbun TikTok: Nexier_Mentor_Dr.Reza.Marbun Instagram: Nexier_Mentor_Dr.Reza.Marbun

Adaptive access

The "Engage: Dr. Marbun" bot on the Nexier profile provides immediate, expert guidance on quantum programming languages (Qiskit, Cirq), complex optimization problems, and advanced quantum computing applications, anytime, 24/7.

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