Next steps in Quantum Science for HEP

Session

Session 5

Sep 13, 2018, 11:05 AM

One West (Fermilab - Wilson Hall)

Description

chair: Kiel Howe

Contribution list Timetable

13. Contracting Tensor Network on a Noisy Quantum Computer

Isaac Kim (Stanford University)

9/13/18, 11:05 AM

I will argue that even a medium-scale (50 to \ensuremath{\sim}100 qubits) quantum computer can significantly speed up the existing tensor network calculations. This is because the classical tensor network contraction algorithms have hit a plateau, and because the contraction time on a quantum computer scales much favorably compared to the classical methods. What makes this proposal...

14. Tensor Networks for Fine-Graining Lattice Gauge Theory, and Also Path Integral Geometry

Ashley Milsted (Perimeter Institute for Theoretical Physics)

9/13/18, 11:30 AM

There are many tensor network approaches to studying quantum field theories. In this talk we summarize two: (1) An approach to fine-graining (UV-completing) lattice Yang-Mills theory in the Hamiltonian formalism. Central to this approach are local maps that perform curvature interpolation in the gauge-group, which together form the building blocks of a gauge-invariant MERA tensor network....

15. Approaching Lattice Gauge Theories with Matrix Product States and Gaussian States

Dr Stefan Kuehn (Perimeter Institute for Theoretical Physics)

9/13/18, 11:55 AM

In recent years variational approaches based on efficient ansatzes for the wave function of a quantum many-body system have proven their power for addressing the Hamiltonian lattice formulation of gauge theories. For one, methods based on Matrix Product States, a particular kind of one-dimensional Tensor Network, have been successfully applied to various Abelian and non-Abelian lattice...