204 citations · 2.1k across the 61 of their papers we have counts for
11 papers · 1 filter
Quantum Circuit Transformations with a Multi-Level Intermediate Representation Compiler
Thien Nguyen, Dmitry Lyakh, Raphael C. Pooser +3
Quantum computing promises remarkable approaches for processing information, but new tools are needed to compile program representations into the physical instructions required by…
Towards a comprehensive visualization of structure in data
Joan Garriga, Frederic Bartumeus
Dimensional data reduction methods are fundamental to explore and visualize large data sets. Basic requirements for unsupervised data exploration are simplicity, flexibility and sc…
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…
Mode connectivity in the loss landscape of parameterized quantum circuits
Kathleen E. Hamilton, Emily Lynn, Raphael C. Pooser
Variational training of parameterized quantum circuits (PQCs) underpins many workflows employed on near-term noisy intermediate scale quantum (NISQ) devices. It is a hybrid quantum…
Lessons Learned on the Interface between Quantum and Conventional Networking
Muneer Alshowkan, Nageswara S. V. Rao, Joseph C. Chapman +5
The future Quantum Internet is expected to be based on a hybrid architecture with core quantum transport capabilities complemented by conventional networking.Practical and foundati…
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.…
Magneto Optical Sensing beyond the Shot Noise Limit
Yun-Yi Pai, Claire E. Marvinney, Chengyun Hua +2
Magneto-optical sensors including spin noise spectroscopies and magneto-optical Kerr effect microscopies are now ubiquitous tools for materials characterization that can provide ne…
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…
Opportunities for DOE National Laboratory-led QuantISED Experiments
Pete Barry, Karl Berggren, A. Baha Balantekin +24
A subset of QuantISED Sensor PIs met virtually on May 26, 2020 to discuss a response to a charge by the DOE Office of High Energy Physics. In this document, we summarize the QuantI…
Benchmarking Quantum Chemistry Computations with Variational, Imaginary Time Evolution, and Krylov Space Solver Algorithms
Kübra Yeter-Aydeniz, Bryan T. Gard, Jacek Jakowski +5
The rapid progress of noisy intermediate-scale quantum (NISQ) computing underscores the need to test and evaluate new devices and applications. Quantum chemistry is a key applicati…
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…