204 citations · 2.1k across the 61 of their papers we have counts for
55 papers · 1 filter
Molecular Symmetry in VQE: A Dual Approach for Trapped-Ion Simulations of Benzene
Joshua Goings, Luning Zhao, Jacek Jakowski +2
Understanding complex chemical systems -- such as biomolecules, catalysts, and novel materials -- is a central goal of quantum simulations. Near-term strategies hinge on the use of…
Quantum Enhanced Probes of Magnetic Circular Dichroism
Chengyun Hua, Claire E. Marvinney, Seongjin Hong +7
Magneto-optical microscopies, including optical measurements of magnetic circular dichroism, are increasingly ubiquitous tools for probing spin-orbit coupling, charge-carrier g-fac…
Long-term cybersecurity applications enabled by quantum networks
Nicholas A. Peters, Muneer Alshowkan, Joseph C. Chapman +3
If continental-scale quantum networks are realized, they will provide the resources needed to fulfill the potential for dramatic advances in cybersecurity through quantum-enabled c…
Combining quantum noise reduction resources: a practical approach
Sohitri Ghosh, Matthew A. Feldman, Seongjin Hong +4
Optomechanical sensors are capable of transducing external perturbations to resolvable optical signals. A particular regime of interest is that of high-bandwidth force detection, w…
An entanglement-based volumetric benchmark for near-term quantum hardware
Kathleen E. Hamilton, Nouamane Laanait, Akhil Francis +8
We introduce a volumetric benchmark for near-term quantum platforms based on the generation and verification of genuine entanglement across n-qubits using graph states and direct s…
Characterizing and mitigating coherent errors in a trapped ion quantum processor using hidden inverses
Swarnadeep Majumder, Christopher G. Yale, Titus D. Morris +6
Quantum computing testbeds exhibit high-fidelity quantum control over small collections of qubits, enabling performance of precise, repeatable operations followed by measurements.…
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…
Quantum Networks for High Energy Physics
Andrei Derevianko, Eden Figueroa, Julián MartÍnez-Rincón +12
Quantum networks of quantum objects promise to be exponentially more powerful than the objects considered independently. To live up to this promise will require the development of…
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…
Bayesian homodyne and heterodyne tomography
Joseph C. Chapman, Joseph M. Lukens, Bing Qi +2
Continuous-variable (CV) photonic states are of increasing interest in quantum information science, bolstered by features such as deterministic resource state generation and error…
Measuring NISQ Gate-Based Qubit Stability Using a 1+1 Field Theory and Cycle Benchmarking
Kubra Yeter-Aydeniz, Zachary Parks, Aadithya Nair +5
Some of the most problematic issues that limit the implementation of applications on Noisy Intermediate Scale Quantum (NISQ) machines are the adverse impacts of both incoherent and…
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…
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…
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…
Quantum Plasmonic Sensors
Changhyoup Lee, Benjamin Lawrie, Raphael Pooser +3
The extraordinary sensitivity of plasmonic sensors is well known in the optics and photonics community. These sensors exploit simultaneously the enhancement and the localization of…
Scattering in the Ising Model Using Quantum Lanczos Algorithm
Kübra Yeter-Aydeniz, George Siopsis, Raphael C. Pooser
Time evolution and scattering simulation in phenomenological models are of great interest for testing and validating the potential for near-term quantum computers to simulate quant…
Scalable quantum processor noise characterization
Kathleen E. Hamilton, Tyler Kharazi, Titus Morris +3
Measurement fidelity matrices (MFMs) (also called error kernels) are a natural way to characterize state preparation and measurement errors in near-term quantum hardware. They can…
Truncated nonlinear interferometry for quantum enhanced atomic force microscopy
R. C. Pooser, N. Savino, E. Batson +3
Nonlinear interferometers that replace beamsplitters in Mach-Zehnder interferometers with nonlinear amplifiers for quantum-enhanced phase measurements have drawn increasing interes…