Quantum Engineering

2024 ~ Present | Quantum Consortium and more


Quantum engineering is a new interdisciplinary domain that focuses on the realization of quantum technologies, such as quantum computing, quantum information science, quantum network, and quantum sensing. The objective of this VIP is to train future engineers and scientists to gain the knowledge and skills of quantum information science and technology to solve difficult problems.

Issues Involved or Addressed

Computational power is essential to solve difficult scientific and engineering problems such as materials design, protein folding, nuclear fusion, weather forecast, data mining, artificial intelligence, scheduling, routing, and many others. The emerging new computational paradigm is on quantum computer, which utilizes quantum mechanics phenomena to achieve powerful parallel computing. The National Quantum Initiative aims to identify and foster early adoption of quantum technologies as the key to accelerate the broader impacts on society. The next-generation engineers and scientists need to be familiar with the new quantum information and computation paradigm, and at the same time contribute to the advancement of the technologies. There are numerous technical areas that engineers and material scientists can contribute, such as to optimize quantum computers for reliable computation, to design new materials and nanomanufacturing processes for scalable and affordable quantum devices, and to develop new scientific computing and machine learning algorithms that harness quantum computational power. The students who participate in this Quantum Engineering VIP will be able to utilize and integrate domain knowledge of mechanical, electrical, optics, and materials to design hardware and peripherals of quantum computer, as well as quantum computing algorithms.

Methods and Technologies

  • design of vacuum chamber and laser control
  • fabricate trap system
  • develop quantum algorithms for optimization, machine learning, and material simulation

Academic Majors of Interest

  • ComputingComputational Science and Engineering
  • EngineeringComputer Engineering
  • EngineeringElectrical Engineering
  • EngineeringIndustrial Engineering
  • EngineeringMaterials Science and Engineering
  • EngineeringMechanical Engineering
  • SciencesMathematics
  • SciencesPhysics

Preferred Interests and Preparation

linear algebra, quantum physics I

Meeting Schedule & Location

Meeting Location 
GTMI 114
Meeting Day 

Team Advisors

Yan Wang
  • Mechanical Engineering
Dr. Asif Khan
  • Electrical and Computer Engineering

Partner(s) and Sponsor(s)

Quantum Consortium <https://quantumconsortium.org> and more

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