research
∙
11/26/2021
Nonequilibrium Monte Carlo for unfreezing variables in hard combinatorial optimization
Optimizing highly complex cost/energy functions over discrete variables ...
share
research
∙
11/03/2020
Power of data in quantum machine learning
The use of quantum computing for machine learning is among the most exci...
research
∙
10/22/2020
Learnability and Complexity of Quantum Samples
Given a quantum circuit, a quantum computer can sample the output distri...
research
∙
03/06/2020
TensorFlow Quantum: A Software Framework for Quantum Machine Learning
We introduce TensorFlow Quantum (TFQ), an open source library for the ra...
research
∙
12/09/2019
Learning Non-Markovian Quantum Noise from Moiré-Enhanced Swap Spectroscopy with Deep Evolutionary Algorithm
Two-level-system (TLS) defects in amorphous dielectrics are a major sour...
research
∙
05/01/2019
Establishing the Quantum Supremacy Frontier with a 281 Pflop/s Simulation
Noisy Intermediate-Scale Quantum (NISQ) computers aim to perform computa...
research
∙
07/27/2018
Quantum Supremacy Is Both Closer and Farther than It Appears
As quantum computers improve in the number of qubits and fidelity, the q...
research
∙
03/29/2018
