Quantum Computing

Quantum Computing

Quantum computing has emerged as an alternative computational model. Realizing the practical acceleration using a Noisy Intermediate-Scale Quantum computer is one of the most important problems of our century. While prototypes are being built now, moving computations to a fully-functional fault-tolerant quantum computer still faces many technical hurdles.

Key challenges are scalability, i.e., the ability to coherently manipulate information stored in a multi-qubit system, and devising efficient algorithmic solutions that take advantage of quantum hardware. At Rice CS, we cover multiple subfields of quantum information science and computing including (hybrid/variational) quantum algorithms and quantum characterization/verification.

Faculty

Faculty members leading research in Quantum Computing in the Department of Computer Science are as follows:

• Nai-Hui Chia
• Tasos Kyrillidis
• Tirthak Patel