Quantum Engineering


Quantum Engineering


Are you prepared for the next technological revolution that will fundamentally reshape the global workforce? Skilled professionals with knowledge in quantum science and technology will be essential to many fields in the near future, and with a quantum engineering minor at Mines, you can ensure you’re ready to take on these emerging opportunities.

With strong industry connections and hands-on learning experiences, this minor will give you the fundamentals required to understand entanglement in quantum information technologies and how it’s used for computation, communication and sensing while giving you the skills the workforce needs. So give your career a head start and be ready to solve some of the most significant scientific and engineering challenges—the world needs you.


Program Objectives

This interdisciplinary program will give undergraduates from chemistry, computer science, electrical engineering, mathematics, materials science and physics an introduction to the core concepts underlying quantum computing, communication and sensing. Students will gain experience with quantum hardware and theory that prepares them for careers in the rapidly evolving quantum engineering industries.

Required Courses (18 Credit Hours)
  • MATH342 – Honors Linear Algebra OR MATH332 – Linear Algebra
  • Three of the following courses:
    • CSCI481/CSCI581 – Quantum Programming
    • EENG432/EENG532 – Low Temperature Microwave Measurement
    • PHGN441 – Quantum Many-Body Physics
    • PHGN435 – Microelectronics Processing
    • PHYS519 – Fundamentals of Quantum Information
Students may select an additional 2 courses from the list above or the following list to further increase specialization:
  • PHGN440 – Solid State Physics
  • PHGN446 – Optical Engineering
  • PHGN480 – Laser Physics
  • PHGN466 – Modern Optical Engineering
  • CSCI423 – Computer Simulation
  • CSCI440 – Parallel Computing for Scientists and Engineers
  • CSCI470 – Introduction to Machine Learning
  • CSCI474 – Introduction to Cryptography
  • MTGN211 – Structure of Materials
  • MTGN315 – Electrical Properties and Applications of Materials
  • MTGN252 – Materials Kinetics
  • MTGN350 – Statistical Process Control and Design of Experiments
  • MTGN456 – Electron Microscopy
  • MTGN473 – Computational Materials
  • EENG307 – Introduction to Feedback Control Systems
  • EENG383 – Microcomputer Architecture and Interfacing
  • EENG385 – Electronic Devices and Circuits
  • EENG411 – Digital Signal Processing
  • EENG421 – Semiconductor Device Physics and Design
  • EENG428/430 – Computational Electromagnetics
  • MATH436 – Advanced Statistical Modeling
  • MATH438 – Stochastic Models
  • MATH454 – Complex Analysis
  • MATH458 – Abstract Algebra

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