Model-free reinforcement learning with noisy actions for automated experimental control in optics

1 code implementation • 24 May 2024 • Lea Richtmann, Viktoria-S. Schmiesing, Dennis Wilken, Jan Heine, Aaron Tranter, Avishek Anand, Tobias J. Osborne, Michèle Heurs

Experimental control involves a lot of manual effort with non-trivial decisions for precise adjustments.

Reinforcement Learning (RL)

Efficient Learning for Deep Quantum Neural Networks

2 code implementations • 27 Feb 2019 • Kerstin Beer, Dmytro Bondarenko, Terry Farrelly, Tobias J. Osborne, Robert Salzmann, Ramona Wolf

Neural networks enjoy widespread success in both research and industry and, with the imminent advent of quantum technology, it is now a crucial challenge to design quantum neural networks for fully quantum learning tasks.

Variational Matrix Product Ansatz for Nonuniform Dynamics in the Thermodynamic Limit

1 code implementation • 3 Jul 2012 • Ashley Milsted, Jutho Haegeman, Tobias J. Osborne, Frank Verstraete

We describe how to implement the time-dependent variational principle for matrix product states in the thermodynamic limit for nonuniform lattice systems.

Strongly Correlated Electrons Quantum Physics

Variational matrix product ansatz for dispersion relations

1 code implementation • 11 Mar 2011 • Jutho Haegeman, Bogdan Pirvu, David J. Weir, J. Ignacio Cirac, Tobias J. Osborne, Henri Verschelde, Frank Verstraete

A variational ansatz for momentum eigenstates of translation invariant quantum spin chains is formulated.

Quantum Physics Statistical Mechanics Strongly Correlated Electrons

Time-dependent variational principle for quantum lattices

1 code implementation • 4 Mar 2011 • Jutho Haegeman, J. Ignacio Cirac, Tobias J. Osborne, Iztok Pizorn, Henri Verschelde, Frank Verstraete

The algorithm is illustrated using both imaginary time and real-time examples.

Strongly Correlated Electrons Statistical Mechanics Quantum Physics

A quantum algorithm to solve nonlinear differential equations

1 code implementation • 23 Dec 2008 • Sarah K. Leyton, Tobias J. Osborne

In this paper we describe a quantum algorithm to solve sparse systems of nonlinear differential equations whose nonlinear terms are polynomials.

Quantum Physics