University of Wisconsin–Madison
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QCVV

Developing quantum characterization, verification & validation (QCVV) techniques, emphasizing robustness and scalability

Simulations

Simulating open quantum systems to advance the development and optimization of quantum technologies

Quantum Algorithms

Developing quantum algorithms tailored for applications in quantum chemistry, machine learning, and quantum dynamics

Quantum Machine Learning

Quantum feature maps can potentially accelerate quantum machine learning

The Otten Lab’s goal is to accelerate the realization of useful, utility-scale quantum computers, networks, and sensors. We develop, analyze, and test quantum algorithms for applications in quantum chemistry, quantum dynamics, and quantum machine learning. Our team also focuses on creating and implementing quantum characterization, verification, and validation (QCVV) methods to understand and mitigate inevitable errors. Utilizing high-performance computing and the principles of open quantum systems, we simulate large quantum devices to enhance their performance. To anticipate the future impact of quantum computing, we estimate the full-stack quantum resources required to solve high-value problems, from the application level to the algorithms, quantum error correction protocols, and physical implementations.