304 citations
- Ames Research CenterUS28 papers
- Research Institute for Advanced Computer ScienceUS13 papers
- University of Maryland, College ParkUS6 papers
- Goddard Space Flight CenterUS5 papers
- University of California, BerkeleyUS5 papers
- Google (United States)US4 papers
- Wright-Patterson Air Force BaseUS4 papers
- California Institute of TechnologyUS3 papers
- Catholic University of AmericaUS3 papers
- HeliophysicsUS3 papers
- Joint Center for Quantum Information and Computer ScienceUS3 papers
- Joint Quantum InstituteUS3 papers
7 papers · 1 filter
QuantifyML: How Good is my Machine Learning Model?
Muhammad Usman, Divya Gopinath, Corina S. Păsăreanu
The efficacy of machine learning models is typically determined by computing their accuracy on test data sets. However, this may often be misleading, since the test data may not be…
Lefschetz Thimble Quantum Monte Carlo for Spin Systems
T. C. Mooney, Jacob Bringewatt, Neill C. Warrington +1
Monte Carlo simulations are useful tools for modeling quantum systems, but in some cases they suffer from a sign problem, leading to an exponential slow down in their convergence t…
Self-Hybridized Polaritonic Emission from Layered Perovskites
Surendra B. Anantharaman, Christopher E. Stevens, Jason Lynch +9
Light-matter coupling in excitonic materials has been the subject of intense investigation due to emergence of new excitonic materials. Two-dimensional layered hybrid organic/inorg…
Real time evolution for ultracompact Hamiltonian eigenstates on quantum hardware
Katherine Klymko, Carlos Mejuto-Zaera, Stephen J. Cotton +9
In this work we present a detailed analysis of variational quantum phase estimation (VQPE), a method based on real-time evolution for ground and excited state estimation on near-te…
Simulation of adiabatic quantum computing for molecular ground states
Vladimir Kremenetski, Carlos Mejuto-Zaera, Stephen J. Cotton +1
Quantum computation promises to provide substantial speedups in many practical applications with a particularly exciting one being the simulation of quantum many-body systems. Adia…
Perils of Embedding for Quantum Sampling
Jeffrey Marshall, Gianni Mossi, Eleanor G. Rieffel
Given quantum hardware that enables sampling from a family of natively implemented Hamiltonians, how well can one use that hardware to sample from a Hamiltonian outside that family…