Understand the computational power of quantum mechanics. Discover applications where quantum computers can outperform the best classical algorithms even in the presence of noise.
Researchers:
Scott Aaronson
Professor, Department of Computer Science
Research Interests
- The capabilities and limits of quantum computers
- Computational complexity theory
Jonathan Baker
Assistant Professor, Chandra Department of Electrical & Computer Engineering
Research Interests
- Quantum computing architecture.
- Practical execution of quantum error correction.
- Quantum compilation, synthesis, multi-radix architectures, and error mitigation.
Poulami Das
Assistant Professor, Chandra Department of Electrical & Computer Engineering
Research Interests
- Quantum Programming: Application and device specific compilation, Software error mitigation.
- Quantum Error Correction: Software scheduling, Architecture for error detection, System-level architectures.
- Quantum Cloud Services: Efficient quantum resource management, Quantum job (user program) scheduling.
Nick Hunter-Jones
Professor, Department of Physics & Computer Science
Research Interests
- Random quantum circuits.
- Unitary designs. Quantum complexity.
- Quantum simulation.
- Demonstrations of quantum advantage.
Matteo Ippoliti
Assistant Professor, Department of Physics
Research Interests
- Dynamics of quantum information: Understanding thermal equilibrium and its exceptions, protecting quantum information from noise, efficiently learning quantum states
- Many-body physics experiments on quantum computers
- Classical simulation of quantum computers and quantum matter: Tensor networks, physics-informed algorithm development
David Soloveichik
Associate Professor, Chandra Department of Electrical and Computer Engineering
Research Interests
Natural computing: computation inspired by nature
Molecular programming: engineering smart molecules
Distributed computing
William Kretschmer
Assistant Professor, Department of Computer Science at UT Austin
Research Interests
- Quantum information and computation
- Quantum cryptographic complexity
- Efficient quantum learning algorithms
Antonios Alvertis
Assistant Professor, Department of Physics and Oden Institute for Computational Engineering and Science at UT Austin
Email:
Doran I. G. B. Raccah
University of Texas at Austin Asst. Professor, Dept. of Chemistry PI
Email:
Yi Lu
Professor, Departments of Chemistry
Research Interests
- Computational design and directed evolution of artificial metalloenzymes as environmentally benign biocatalysts for renewable energy generation and pharmaceutical drug syntheses.
- Engineer biocatalysts to address challenges in synthetic inorganic and organic chemistry and applications of novel biocatalysts in synthetic biology for biomass conversion, valuable products generation.
- Design and selection of sensors and imaging agents for metal ions, metabolites and glycoRNAs to advance metallomics, metabolomics and glycomics for medical diagnosis, imaging and therapy in neurodegenerative and infectious diseases, and cancers.
- Employing principles from biology for directed assembly of nanomaterials with controlled morphologies and its applications in imaging and nanomedicine.
Narayana Aluru
Professor, Walker Department of Mechanical Engineering
Research Interests
- Computational Nanotechnology (Nanofluidics, NEMS, and Bio-Nano)
- Computational Physics, Soft Matter
- Computational Microtechnology (MEMS, Bio-MEMS, and Microfluidics)
