The slowing down of Moore's law has driven the development of unconventi...
The transistor celebrated its 75^th birthday in 2022. The
continued scal...
Quantum technology has the potential to revolutionize how we acquire and...
Optimizing highly complex cost/energy functions over discrete variables ...
The use of quantum computing for machine learning is among the most exci...
With the increased focus on quantum circuit learning for near-term
appli...
We introduce TensorFlow Quantum (TFQ), an open source library for the ra...
Spin-glass systems are universal models for representing many-body pheno...
Spin-glasses are universal models that can capture complex behavior of
m...
Quantum Neural Networks (QNNs) are a promising variational learning para...
Genetic algorithms, which mimic evolutionary processes to solve optimiza...
Quantum mechanics fundamentally forbids deterministic discrimination of
...