85 citations · 91 across the 12 of their papers we have counts for
12 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…
Quantum error mitigation by hidden inverses protocol in superconducting quantum devices
Vicente Leyton-Ortega, Swarnadeep Majumder, Raphael C. Pooser
We present a method to improve the convergence of variational algorithms based on hidden inverses to mitigate coherent errors. In the context of error mitigation, this means replac…
Snowmass White Paper: Quantum Computing Systems and Software for High-energy Physics Research
Travis S. Humble, Andrea Delgado, Raphael Pooser +23
Quantum computing offers a new paradigm for advancing high-energy physics research by enabling novel methods for representing and reasoning about fundamental quantum mechanical phe…
Mode connectivity in the QCBM loss landscape
Kathleen E. Hamilton, Emily Lynn, Vicente Leyton-Ortega +2
Quantum circuit Born machines (QCBMs) and training via variational quantum algorithms (VQAs) are key applications for near-term quantum hardware. QCBM ansätze designs are unique in…
Parameterized process characterization with reduced resource requirements
Vicente Leyton-Ortega, Tyler Kharazi, Raphael C. Pooser
Quantum Process Tomography (QPT) is a powerful tool to characterize quantum operations, but it requires considerable resources making it impractical for more than 2-qubit systems.…
QuaSiMo: A Composable Library to Program Hybrid Workflows for Quantum Simulation
Thien Nguyen, Lindsay Bassman, Phillip C. Lotshaw +7
We present a composable design scheme for the development of hybrid quantum/classical algorithms and workflows for applications of quantum simulation. Our object-oriented approach…
Composable Programming of Hybrid Workflows for Quantum Simulation
Thien Nguyen, Lindsay Bassman, Dmitry Lyakh +6
We present a composable design scheme for the development of hybrid quantum/classical algorithms and workflows for applications of quantum simulation. Our object-oriented approach…