Quantum Computing Graduate Certificate

 

 

The Graduate Certificate in Quantum Computing provides working professionals with training and advanced knowledge in quantum computing and offers the opportunity to apply learning through hands-on exercises and experiential opportunities. Quantum computing has the potential to enhance secure communications through novel encryption key distribution methods and explore solutions to problems previously deemed too hard to tackle for classical computing. Quantum computing can also revolutionize well established disciplines such as data science and machine learning making it a critical area of study in today’s market.

Participants in the program explore machine learning and identify areas where quantum computing can impact the discipline. Students also explore applications of quantum computing to optimization, encryption, information theory, and communication. Be able to explain the principles behind quantum computing, implement and execute applications on quantum computers or their simulators, and be ready to differentiate between the physical implementations of quantum computers and how this affects capabilities and performance. Graduates of the program will also be able to make appropriate and successful business decisions when quantum technologies reach maturity. No prior knowledge in quantum physics or quantum computing is necessary. 

The Graduate Certificate in Quantum Computing is a 12-credit graduate program that can be completed in less than one year. The program features in-person instruction. Classes meet in UMD College Park campus classrooms, offering a focused, distraction-free learning environment. The program is offered through the Science Academy in the College of Computer, Mathematical, and Natural Sciences. Instruction is provided by university faculty and experts in the field. The program uses the semester academic calendar with classes held in fall and spring semester (16 weeks each).

Application Deadline

Fall 2023:
Domestic Students: June 30, 2023

Apply Now

Any student applying for admission to a graduate program at the University of Maryland must meet the following minimum admission criteria as established by the Graduate School.

  • Earned a four-year baccalaureate degree from a regionally accredited U.S. institution, or an equivalent degree from a non-U.S. institution.
  • Earned a 3.0 GPA (on a 4.0 scale) in all prior undergraduate and graduate coursework.

 

General Requirements:

  • Statement of Purpose
  • Transcript(s)
  • TOEFL/IELTS/PTE (international graduate students)

 

Program-Specific Requirements:

  • Graduate Record Examination (GRE) (optional)
  • Resume/Curriculum vitae
  • Description of research/work experience in engineering, mathematics, and natural sciences
  • Prior coursework establishing quantitative ability (linear algebra required)
  • Proficiency in programming languages, Python preferred, demonstrated either through prior programming coursework or substantial software development experience

The Graduate Certificate in Quantum Computing is a 12-credit, 4-course, graduate program. The program provides education in  quantum computing, training to enhance secure communications, and an opportunity to find solutions to problems previously deemed, “too hard to tackle.” 

Sample Plan of Study (Part-time, two 3-credit courses per semester)

Semester 1: MSQC601 Mathematics and Methods of Quantum Computing (Core) & MSQC602  Physics of Quantum Devices (Core)                                  

Semester 2: MSQC603 Principles of Machine Learning (Core) & MSQC604 Quantum Computing Architectures and Algorithms (Core)

 

Learn more about the courses

Find up to date tuition and fee information here for the Graduate Certificate in Quantum Computing.

Program Director & Instructors

Director, Quantum Computing Graduate Certificate
Fellow, Joint Quantum Institute
Past Co-Director, Joint Quantum Institute
Senior Research Scientist and Program Manager, Research Institute of Advanced Computer Science at USRA
Director of Scientific Computing, Institute for Physical Science and Technology
Associate Professor, Chemistry and Biochemistry & Institute for Physical Science and Technology
Adjunct Assistant Professor, Institute for Physical Science and Technology & the Joint Institute for Quantum Information and Computer Science