55 citations · 120 across the 6 of their papers we have counts for
7 papers
Hybrid quantum-classical reservoir computing for simulating chaotic systems
Filip Wudarski, Daniel O`Connor, Shaun Geaney +5
Forecasting chaotic systems is a notably complex task, which in recent years has been approached with reasonable success using reservoir computing (RC), a recurrent network with fi…
Wave function Ansatz (but Periodic) Networks and the Homogeneous Electron Gas
Max Wilson, Saverio Moroni, Markus Holzmann +4
We design a neural network Ansatz for variationally finding the ground-state wave function of the Homogeneous Electron Gas, a fundamental model in the physics of extended systems o…
Simulations of state-of-the-art fermionic neural network wave functions with diffusion Monte Carlo
Max Wilson, Nicholas Gao, Filip Wudarski +2
Recently developed neural network-based \emph{ab-initio} solutions (Pfau et. al arxiv:1909.02487v2) for finding ground states of fermionic systems can generate state-of-the-art res…
High-Dimensional Similarity Search with Quantum-Assisted Variational Autoencoder
Nicholas Gao, Max Wilson, Thomas Vandal +3
Recent progress in quantum algorithms and hardware indicates the potential importance of quantum computing in the near future. However, finding suitable application areas remains a…
Optimizing quantum heuristics with meta-learning
Max Wilson, Sam Stromswold, Filip Wudarski +3
Variational quantum algorithms, a class of quantum heuristics, are promising candidates for the demonstration of useful quantum computation. Finding the best way to amplify the per…
From Ansätze to Z-gates: a NASA View of Quantum Computing
Eleanor G. Rieffel, Stuart Hadfield, Tad Hogg +12
For the last few years, the NASA Quantum Artificial Intelligence Laboratory (QuAIL) has been performing research to assess the potential impact of quantum computers on challenging…