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Courses

Advanced Topics in Theory of Computing; Quantum Control, Metrology, and Error Mitigation for Quantum Algorithm Deployment (CMSC858V, Fall 2023)

Covers the fundamentals of quantum control and metrology in both digital and analog domains: design and calibration of quantum gates, analog quantum operations, quantum state preparation, and measurement; estimation, characterization, and mitigation of environmental noise; synthesis of logical quantum circuits to physical quantum circuits for agiven quantum hardware architecture. Connects quantum control and metrology tothe deployment of quantum algorithms on near-term quantum computers: superconducting qubits, ion trap qubits, and neutral atom qubits.

Advanced Topics in Theory of Computing; Quantum Complexity (CMSC858L, Spring 2023)

Introduction to Quantum Computing (CMSC457/PHYS457, Spring 2023)

An introduction to the concept of a quantum computer, including algorithms that outperform classical computation and methods for performing quantum computation reliably in the presence of noise. As this is a multidisciplinary subject, the course will cover basic concepts in theoretical computer science and physics in addition to introducing core quantum computing topics.

Quantum Technology (PHYS720/ENEE789M, Spring 2023)

A good grounding in electromagnetism and quantum mechanics is necessary; familiarity with density matrices and master equations will be helpful.  Physical principles behind emerging quantum technologies, from quantum-limited amplifiers to atomic simulators. Examination of current and emerging platforms for quantum technologies, including neutral atom, ion trap, superconducting circuit, photonic, and spin-based approaches. Focus on hurdles for implementing quantum devices for new applications. 

Introduction to Quantum Information Processing (CMSC657, Fall 2022)

An introduction to the field of quantum information processing. Students will be prepared to pursue further study in quantum computing, quantum information theory, and related areas.
 

The Foundation of End-to-End Quantum Applications (CMSC858O, Fall 2022)

Introduction to Quantum Technology (PHYS467, Fall 2022)

Investigates the physical systems used to implement quantum computers. Covers basics of atomic clocks, laser interferometers, quantum key distribution, quantum networks, and three types of qubits (ion-based, superconductor-based, and semiconductor-based).

Quantum Boot Camp (ENEE489F/CHPH499F/CMSC488A/PHYS499F, Fall 2022)

Designed for computer science, engineering and mathematics majors. Introduces basic concepts and techniques widely used in quantum information science.

Advanced Topics in Theory of Computing; Classical and Quantum Codes (CMSC858Q/PHYS889C, Spring 2022)

The course will cover topics in classical and quantum coding theory from the unified perspective of protecting information in classical communication and supporting fault-tolerant computations in quantum computers. Topics in classical codes include: Reed-Solomon codes, codes on algebraic curves, Reed-Muller codes, polar codes, rank metric codes. Topics in quantum codes include: stabilizer codes, CSS codes, GKP codes, polynomial codes, toric code. 

Research Interactions in Mathematics (RIT on Quantum Information) (MATH489/689, Spring 2022)

In this seminar, we are interested in all aspects of research at the intersection between quantum information science and mathematics.  Goals for talks include:

  • Studying recent research results in quantum information from a mathematical angle;
  • Finding examples (old and new) in which existing tools from mathematics can be adapted for application in quantum information;
  • Studying quantum algorithms for mathematical problems.

https://quics.umd.edu/people/carl-miller