collaborators

6 papers

quant-ph2025

Energy-Scaled Zero-Noise Extrapolation for Gottesman-Kitaev-Preskill Code

Gui-Zhong Luo, Matthew Otten

The performance of Gottesman-Kitaev-Preskill (GKP) codes, an approach to hardware-efficient quantum error correction, is limited by the finite squeezing capabilities of current exp…

physics.atom-ph2025

First ionization potentials of Cr, Mo, and W calculated with SHCI

Zachary T. Jerzyk, David R. Smith, Matthew Otten

The design and performance of future fusion power plants will depend on accurate atomic data for plasma-facing material and plasma impurity species. A leading candidate for the pla…

quant-ph2025

Achieving Utility-Scale Applications through Full Stack Co-Design of Fault Tolerant Quantum Computers

Katerina Gratsea, Matthew Otten

Quantum computing promises revolutionary advances in modeling materials and molecules. However, the up-to-date runtime estimates for utility-scale applications on certain quantum h…

quant-ph2025

From Random Determinants to the Ground State

Hao Zhang, Matthew Otten

Accurate quantum many-body calculations often depend on reliable reference states or good human-designed ansätze, yet these sources of knowledge can become unreliable in hard probl…

quant-ph2025

Physics-Informed Neural Networks for Gate Design using Quantum Optimal Control

Sofiia Lauten, Matthew Otten

Implementing quantum gates on quantum computers can require the application of carefully shaped pulses for high-fidelity operations. We explore the use of physics-informed neural n…

quant-ph2025

Efficient algorithms for quantum chemistry on modular quantum processors

Tian Xue, Jacob P. Covey, Matthew Otten

Quantum chemistry is a promising application of future quantum computers, but the requirements on qubit count and other resources suggest that modular computing architectures will…