Quantum information science and Quantum Computing
Quantum information science explores how the principles of quantum mechanics can be used to store, transmit, and process information. Phenomena such as superposition and entanglement allow quantum systems to perform certain computations that would be extremely difficult for classical computers.
Rather than focusing on a single technology, the field investigates many different physical ways to realize quantum computers. Researchers work across disciplines such as computer science, physics, and electrical and computer engineering, developing approaches ranging from quantum materials and superconducting circuits to trapped atoms and photonic systems.
Broadly, research in quantum information science can be organized into three major areas: Quantum Information Theory, which studies the mathematical and algorithmic foundations of quantum computation and communication; Quantum Information Hardware and Devices, which focuses on the physical systems used to realize qubits and quantum operations; and Quantum Computing Systems and Architecture, which investigates how individual quantum components can be integrated into scalable and functional quantum computing systems.
Below are opportunities across departments.
Research
- Various departments (Physics and AEP):
- Quantum Science and Engineering at Cornell
- This is a very comprehensive listing organized by subtopic
- Quantum Science and Engineering at Cornell
Courses
- AEP 2550 - Engineering Quantum Information Hardware
- AEP 3100 Introductory Quantum Computing
- CS 4813 - Quantum Computing
- AEP 4812/PHYS 4481/CS 4812 - Quantum Information Processing
- ECE 4060 - Quantum Physics and Engineering