Research

The Otten Lab specializes in simulating open quantum systems to advance the development and optimization of quantum technologies. Using master equation formulations and leveraging advanced numerical techniques such as high-performance computing, tensor networks, optimization, and machine learning, we conduct comprehensive analyses and develop sophisticated code implementations. Our simulations not only enhance theoretical understanding but also have practical applications.

We collaborate closely with experimentalists to apply our methods in studying and mitigating errors across various types of quantum hardware, including neutral atoms, semiconducting qubits, and superconducting qubits. Our work focuses on discovering high-quality gate implementations, understanding the impact of errors on error-correcting codes and algorithms, and ultimately increasing qubit performance through large-scale simulations. By bridging the gap between theory and experiment, we aim to push the boundaries of what is possible in quantum computing

The Otten Lab develops quantum algorithms tailored for applications in quantum chemistry, machine learning, and quantum dynamics. Our work spans the spectrum from NISQ to early fault-tolerant quantum computers to fully fault-tolerant systems, ensuring that our algorithms are robust and scalable as quantum technology evolves.

In parallel, we focus on the development and analysis of quantum error correction codes designed for real-world physical hardware. By integrating algorithms with error correction techniques and considering the physical properties of quantum systems, we provide comprehensive resource estimations necessary for utility-scale applications. This holistic approach allows us to anticipate the requirements and challenges of implementing quantum solutions that can significantly impact various scientific and industrial fields and allows us to identify the key bottlenecks that require further investigation.

The Otten Lab is dedicated to the development of fundamental quantum characterization, verification, and validation (QCVV) techniques, emphasizing robustness and scalability. Our goal is to create methods that can reliably test quantum systems, ensuring their performance and accuracy.

We apply these QCVV techniques to real quantum hardware to gain a deep understanding of the sources of noise and to develop strategies to mitigate these errors. By directly addressing the practical challenges faced by scaling quantum devices, our work enhances the reliability and efficiency of quantum computations, paving the way for more robust and scalable quantum technologies.