Quantum Software

We developed quantum computer algorithms which utilize quantum effects to

  1. Accelerate machine learning – particularly, deep learning
  2. Perform tensor operations on a quantum computer
  3. Simulate quantum chemistry and materials science

In our work, we have taken part in several experimental collaborations which have realized prototypes of our algorithms.

In his famous 1981 talk, Feynman proposed that unlike classical computers, which would presumably experience an exponential slowdown when simulating quantum phenomena, a universal quantum simulator would not. An ideal quantum simulator would be controllable, and built using existing technology. […]

Tensor Networks Initiative

Tensor networks gave rise to efficiently compact representations for certain classes of quantum states, and provide a graphical language to reason about quantum processes.

The methods reach outside of physics to large areas of computer science and even more recently have found applications in complex networks. […]