Spotlight Research
Complex-frequency excitations in photonics and wave physics
Seunghwi Kim, Alex Krasnok, Andrea Alù
Light can be controlled in new ways by carefully shaping signals as they evolve over time. Using signals that grow or fade in strength, ordinary photonic structures can display behaviors usually associated with gain or loss. This approach opens new possibilities for advanced sensors, optical computing, and wave-based technologies using existing platforms.
Revisiting Noise-adaptive Transpilation in Quantum Computing: How Much Impact Does it Have?
Yuqian Huo, Jinbiao Wei, Christopher Kverne, Mayur Akewar, Janki Bhimani, Tirthak Patel
Running quantum programs on today’s machines is challenging because hardware performance constantly changes. This work explores whether frequently re-optimizing quantum programs actually improves performance on large-scale quantum computers. By studying thousands of executions across multiple machines over time, the research shows that simpler strategies often perform just as well—while being more stable and efficient. These insights help guide the development of reliable, scalable quantum computing systems.
Quantum Materials & Nanophotonics
We engineer quantum materials and nanostructures to control light–matter interactions at the nanoscale. From superconductors to nanophotonic lattices, these platforms form the building blocks of future quantum devices.
Quantum Devices & Sensors
We design quantum devices that translate fundamental discoveries into practical technologies. From superconducting qubits to ultra-sensitive NV-diamond sensors, these platforms achieve what classical systems cannot, measuring the invisible with quantum precision.
Quantum Systems & Security
We integrate quantum components into full systems that are scalable, resilient, and secure. From error mitigation to quantum networks, this pillar advances the architectures that make quantum technologies practical in the real world.
Degree Programs
Knight Foundation School of Computing and Information Sciences (KFSCIS)
Degree Levels: B.S., B.A., M.S., Ph.D.
Key Courses:
- COT 4601 - Fundamentals of Quantum Computing
- COT 5603 - Advanced Quantum Information and Probability
- COT 5600 - Quantum Algorithms
Electrical & Computer Engineering (ECE)
Degree Levels: B.S., M.S., Ph.D.
Key Courses:
- EEE 4423 - Introduction to Quantum Computers
- EEE 6429 - Advanced Quantum Computers
- EEL 6931 - Quantum Materials and Technologies
Physics
Degree Levels: B.S., B.A., M.S., Ph.D.
Key Courses:
- PHY 4604 - Quantum Mechanics I
- PHY 4605 - Quantum Mechanics II
- PHY 4745 - Physical Foundation of Quantum Computing
- PHY 6645 - Advanced Quantum Mechanics I
Mechanical and Materials Engineering (MME)
Degree Levels: B.S., M.S., Ph.D.
Key Courses:
- EMA 6417 - Sustainable Materials for Nanoscale Semiconductors and Quantum Science
NRT-QISE: Q-STAR Program (Multi-departmental)
Degree Levels: Graduate
Key Courses:
- Participates in courses and advanced research opportunities from the above departments