Hour: From 15:00h to 15:30h
Place: ICFO Auditorium
Quantum computing and simulation from entanglement as a resource to sampling of polymer melts, with Philipp Hauke (UniTrento)
Abstract:
In this talk, I aim at highlighting a few recent examples of the fascinating physics questions that the rapid advances in quantum hard- and software enable to address.
First, I will discuss our recent progress, in collaboration with IBM, to quantify and certify the role of entanglement in quantum optimization algorithms. In particular, I will show how a type of entanglement that is responsible for a quantum advantage in quantum sensors can also lead to improved solutions of complex graph problems.
Second, I will illustrate some of the exciting physics questions that are moving into reach thanks to quantum computing. I will discuss our works on a paradigmatic problem from soft condensed matter, the sampling of polymer melts. We formulate this problem in a language that is amenable for quantum optimization, which permits us to obtain unbiased samples in regimes far beyond the reach of conventional Monte Carlo algorithms. This advantage is already achieved when implementing the quantum-inspired algorithm on a classical computer, and can further be improved by orders of magnitude when run on a quantum machine.
As this example shows, quantum computing not only can give a quantitative edge, it can also provide paradigmatically new algorithmic view points on old problems.
Bio:
Philipp Hauke studied Physics at TU Munich and EPF Lausanne. He received his PhD in 2013 from ICFO – The Institute of Photonic Sciences, Castelldefels, Barcelona. Afterwards, he held positions as University Assistant at the University of Innsbruck and as group leader at Heidelberg University, funded by an ERC Starting grant. In fall 2019, he became Associate Professor at the Pitaevskii BEC Center and the Physics Department of the University of Trento. His research focuses on developing the theoretical basis for novel quantum technologies. The vision of the research in his group is to harness the pristine control available in synthetic quantum systems such as cold atoms, trapped ions, superconducting qubits, and photonic devices for solving outstanding problems of practical relevance. Philipp Hauke’s group develops methods to characterize and measure entanglement, derives algorithms to solve hard NP-complete problems through quantum annealing, and designs quantum simulations of strongly-correlated systems.
Hour: From 15:00h to 15:30h
Place: ICFO Auditorium
Quantum computing and simulation from entanglement as a resource to sampling of polymer melts, with Philipp Hauke (UniTrento)
Abstract:
In this talk, I aim at highlighting a few recent examples of the fascinating physics questions that the rapid advances in quantum hard- and software enable to address.
First, I will discuss our recent progress, in collaboration with IBM, to quantify and certify the role of entanglement in quantum optimization algorithms. In particular, I will show how a type of entanglement that is responsible for a quantum advantage in quantum sensors can also lead to improved solutions of complex graph problems.
Second, I will illustrate some of the exciting physics questions that are moving into reach thanks to quantum computing. I will discuss our works on a paradigmatic problem from soft condensed matter, the sampling of polymer melts. We formulate this problem in a language that is amenable for quantum optimization, which permits us to obtain unbiased samples in regimes far beyond the reach of conventional Monte Carlo algorithms. This advantage is already achieved when implementing the quantum-inspired algorithm on a classical computer, and can further be improved by orders of magnitude when run on a quantum machine.
As this example shows, quantum computing not only can give a quantitative edge, it can also provide paradigmatically new algorithmic view points on old problems.
Bio:
Philipp Hauke studied Physics at TU Munich and EPF Lausanne. He received his PhD in 2013 from ICFO – The Institute of Photonic Sciences, Castelldefels, Barcelona. Afterwards, he held positions as University Assistant at the University of Innsbruck and as group leader at Heidelberg University, funded by an ERC Starting grant. In fall 2019, he became Associate Professor at the Pitaevskii BEC Center and the Physics Department of the University of Trento. His research focuses on developing the theoretical basis for novel quantum technologies. The vision of the research in his group is to harness the pristine control available in synthetic quantum systems such as cold atoms, trapped ions, superconducting qubits, and photonic devices for solving outstanding problems of practical relevance. Philipp Hauke’s group develops methods to characterize and measure entanglement, derives algorithms to solve hard NP-complete problems through quantum annealing, and designs quantum simulations of strongly-correlated systems.