54 citations · 227 across the 10 of their papers we have counts for
11 papers
Prediction and compression of lattice QCD data using machine learning algorithms on quantum annealer
Boram Yoon, Chia Cheng Chang, Garrett T. Kenyon +2
We present regression and compression algorithms for lattice QCD data utilizing the efficient binary optimization ability of quantum annealers. In the regression algorithm, we enco…
Lossy compression of statistical data using quantum annealer
Boram Yoon, Nga T. T. Nguyen, Chia Cheng Chang +1
We present a new lossy compression algorithm for statistical floating-point data through a representation learning with binary variables. The algorithm finds a set of basis vectors…
Probabilistic deep learning approach for targeted hybrid organic-inorganic perovskites
Vu Ngoc Tuoc, Nga T. T. Nguyen, Vinit Sharma +1
We develop a probabilistic machine learning model and use it to screen for new hybrid organic-inorganic perovskites (HOIPs) with targeted electronic band gap. The data set used for…
A regression algorithm for accelerated lattice QCD that exploits sparse inference on the D-Wave quantum annealer
Nga T. T. Nguyen, Garrett T. Kenyon, Boram Yoon
We propose a regression algorithm that utilizes a learned dictionary optimized for sparse inference on a D-Wave quantum annealer. In this regression algorithm, we concatenate the i…
Image classification using quantum inference on the D-Wave 2X
Nga T. T. Nguyen, Garrett T. Kenyon
We use a quantum annealing D-Wave 2X computer to obtain solutions to NP-hard sparse coding problems. To reduce the dimensionality of the sparse coding problem to fit on the quantum…
Topology of quantum discord
Nga T. T. Nguyen, Robert Joynt
Quantum discord is an important measure of quantum correlations that can serve as a resource for certain types of quantum information processing. \ Like entanglement, discord is su…