Quantum Technology
Hyeongrak "Chuck" Choi
Assistant Professor
Quantum computing, quantum sensing, quantum networks, quantum error correction.
Mikhail Dorojevets
Professor
mikhail.dorojevets@stonybrook.edu
Parallel computer architecture; high-performance systems design; superconductor processors
Ji Liu
Associate Professor
Developing distributed quantum computing algorithms for scalable and networked quantum systems, and machine learning methods for quantum control.
Thomas Robertazzi
Professor
thomas.robertazzi@stonybrook.edu
Quantum computer architectures and circuits, noise in quantum systems.
Dmitri Donetski
Associate Professor
dmitri.donetski@stonybrook.edu
Semiconductor platforms for quantum photonics, including single-photon emitters and detectors operating at the single-photon level, components for quantum sensing, communication, and information processing.
Leon Shterengas
Professor
leon.shterengas@stonybrook.edu
Quantum dot-based platform for development of the tunable single photon sources in telecom band. Innovative photonic device architectures for quantum information processing. Quantum-enhanced imaging.
Lav R. Varshney
Della Pietra Infinity Professor / Director, AI Innovation Institute
Quantum information theory limits on quantum computing, quantum sensing, and quantum communication.
Peng Zhang
SUNY Empire Innovation Professor
Quantum engineered power grid (Q-Grid): Quantum computing, networking, and security for grid resilience.
Yuanyuan Yang
Distinguished Professor
Research investigates distributed quantum computing where hundreds of Quantum Processing Units (QPUs), each with limited numbers of qubits, form a scalable quantum cluster where a virtual quantum machine (VQM) with far more qubits than a single QPU can be created. The research investigates the fundamental qubit entanglement and mapping algorithms, optimal physical interconnections for the VQMs, and develop a simulator to evaluate the VQM designs. It will provide a comprehensive design solution that establishes the algorithmic foundation for building efficient and scalable quantum computing systems, and facilitating the creation of future practical quantum computing applications that require large numbers of qubits.
