85 citations · 87 across the 9 of their papers we have counts for
9 papers
Classic and Quantum Task-Based Intelligent Runtime for QIRs Running on Multiple QPUs
Narasinga Rao Miniskar, Elaine Wong, Vicente Leyton-Ortega +2
High-performance computing systems are rapidly evolving into heterogeneous platforms that fuse quantum accelerators with traditional classical processing units (CPUs) and graphical…
Integrating Julia-ITensors into the Tensor Network Quantum Virtual Machine (TNQVM)
Zachary W. Windom, Daniel Claudino, Vicente Leyton-Ortega
The Tensor Network Quantum Virtual Machine (TNQVM) is a high-performance classical circuit simulation backend for the eXtreme-scale ACCelerator (XACC) framework that leverages the…
Optimizing Qubit Control Pulses for State Preparation
Annika S. Wiening, Joern Bergendahl, Vicente Leyton-Ortega +1
In the burgeoning field of quantum computing, the precise design and optimization of quantum pulses are essential for enhancing qubit operation fidelity. This study focuses on refi…
Ancillary entangling Floquet kicks for accelerating quantum algorithms
C. -C. Joseph Wang, Phillip C. Lotshaw, Titus Morris +3
Quantum simulation with adiabatic annealing can provide insight into difficult problems that are impossible to study with classical computers. However, it deteriorates when the sys…
A Cross-Platform Execution Engine for the Quantum Intermediate Representation
Elaine Wong, Vicente Leyton-Ortega, Daniel Claudino +6
Hybrid languages like the quantum intermediate representation (QIR) are essential for programming systems that mix quantum and conventional computing models, while execution of the…
Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions
Yuri Alexeev, Maximilian Amsler, Paul Baity +124
Computational models are an essential tool for the design, characterization, and discovery of novel materials. Hard computational tasks in materials science stretch the limits of e…