Leveraging RPI’s on-campus IBM quantum computer, faculty advance quantum computing across multiple layers of the stack, including architecture, compilers, and algorithms, with applications to optimization, machine learning, and scientific computing. Research also explores how quantum techniques intersect with classical AI, networks, and security. Representative topics include:

• Quantum architecture and compilers
• Quantum machine learning
• Quantum optimization algorithms
• Hardware-software co-design
• Quantum applications to AI and networks