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GRADUATE RESEARCH

Quantum Computing

Doctoral Student Research in 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 are as follows:

The videos below represent current student research projects. 

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Graduate Research Videos in Quantitative Computing