Ryan Babbush

Affiliations:
  • Google Quantum AI, Mountain View, CA, USA


According to our database1, Ryan Babbush authored at least 13 papers between 2014 and 2024.

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Bibliography

2024
Expressing and Analyzing Quantum Algorithms with Qualtran.
CoRR, 2024

Quartic quantum speedups for planted inference.
CoRR, 2024

2023
Exponential quantum speedup in simulating coupled classical oscillators<sup>*</sup>.
Proceedings of the 64th IEEE Annual Symposium on Foundations of Computer Science, 2023

2021
The Fermionic Quantum Emulator.
Quantum, 2021

Quantum advantage in learning from experiments.
CoRR, 2021

2020
Improved Fault-Tolerant Quantum Simulation of Condensed-Phase Correlated Electrons via Trotterization.
Quantum, 2020

Variational Quantum Algorithms.
CoRR, 2020

Power of data in quantum machine learning.
CoRR, 2020

2019
Learning to learn with quantum neural networks via classical neural networks.
CoRR, 2019

2018
Barren plateaus in quantum neural network training landscapes.
CoRR, 2018

2014
Bayesian Network Structure Learning Using Quantum Annealing.
CoRR, 2014

Construction of non-convex polynomial loss functions for training a binary classifier with quantum annealing.
CoRR, 2014

Bayesian Sampling Using Stochastic Gradient Thermostats.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014


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