79 citations · 133 across the 4 of their papers we have counts for
10 papers · 1 filter
Simulations of Quantum Circuits with Approximate Noise using qsim and Cirq
Sergei V. Isakov, Dvir Kafri, Orion Martin +15
We introduce multinode quantum trajectory simulations with qsim, an open source high performance simulator of quantum circuits. qsim can be used as a backend of Cirq, a Python soft…
Entangling Quantum Generative Adversarial Networks
Murphy Yuezhen Niu, Alexander Zlokapa, Michael Broughton +4
Generative adversarial networks (GANs) are one of the most widely adopted semisupervised and unsupervised machine learning methods for high-definition image, video, and audio gener…
Accurately computing electronic properties of a quantum ring
C. Neill, T. McCourt, X. Mi +89
A promising approach to study condensed-matter systems is to simulate them on an engineered quantum platform. However, achieving the accuracy needed to outperform classical methods…
Power of data in quantum machine learning
Hsin-Yuan Huang, Michael Broughton, Masoud Mohseni +4
The use of quantum computing for machine learning is among the most exciting prospective applications of quantum technologies. However, machine learning tasks where data is provide…
Observation of separated dynamics of charge and spin in the Fermi-Hubbard model
Frank Arute, Kunal Arya, Ryan Babbush +96
Strongly correlated quantum systems give rise to many exotic physical phenomena, including high-temperature superconductivity. Simulating these systems on quantum computers may avo…
Quantum Approximate Optimization of Non-Planar Graph Problems on a Planar Superconducting Processor
Matthew P. Harrigan, Kevin J. Sung, Matthew Neeley +83
We demonstrate the application of the Google Sycamore superconducting qubit quantum processor to combinatorial optimization problems with the quantum approximate optimization algor…