activity
20182022
most citedSupplementary information for "Quantum supremacy using a programmable superconducting processor"

7.2k citations · 7.4k across the 9 of their papers we have counts for

collaborators

16 papers

quant-ph20222 cited

Beyond Heisenberg Limit Quantum Metrology through Quantum Signal Processing

Yulong Dong, Jonathan Gross, Murphy Yuezhen Niu

Leveraging quantum effects in metrology such as entanglement and coherence allows one to measure parameters with enhanced sensitivity. However, time-dependent noise can disrupt suc…

quant-ph2022

Generalized Interference of Fermions and Bosons

Dylan Spivak, Murphy Yuezhen Niu, Barry C. Sanders +1

Using tools from representation theory, we derive expressions for the coincidence rate of partially-distinguishable particles in an interferometry experiment. Our expressions are v…

quant-ph2021

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…

quant-ph202178 cited

Quantum circuit optimization with deep reinforcement learning

Thomas Fösel, Murphy Yuezhen Niu, Florian Marquardt +1

A central aspect for operating future quantum computers is quantum circuit optimization, i.e., the search for efficient realizations of quantum algorithms given the device capabili…

quant-ph2021124 cited

Removing leakage-induced correlated errors in superconducting quantum error correction

M. McEwen, D. Kafri, Z. Chen +48

Quantum computing can become scalable through error correction, but logical error rates only decrease with system size when physical errors are sufficiently uncorrelated. During co…

quant-ph2020

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…