Quantum Computation
Philipp Hauke, Emanuele Tirrito, Julius Mildenberger, Gopal Chandra Santra, Veronica Panizza, Alberto Bottarelli, Sebastian Nagies, Matteo M. Wauters, Chiara Capecci
Last updated on
May 18, 2020
Quantum computers show the potential of outperforming classical computers in a variety of applications. We are interested in developing algorithms for solving relevant practical problems, ranging from the simulation of quantum many-body systems to the solution of NP-complete optimization problems. Besides gate-based quantum computers, we also investigate adiabatic quantum optimization and quantum annealing.
Publications
Boosting quantum annealing performance through direct polynomial unconstrained binary optimization
Quantum annealing aims at solving optimization problems of practical relevance using quantum computing hardware. Problems of interest …
Sebastian Nagies, Kevin T. Geier, Javed Akram, Dimitrios Bantounas, Michael Johanning, Philipp Hauke
arXiv:2412.04398 [quant-ph] (2024)
The role of higher-order terms in trapped-ion quantum computing with magnetic gradient induced coupling
Trapped-ion hardware based on the Magnetic Gradient Induced Coupling (MAGIC) scheme is emerging as a promising platform for quantum …
Sebastian Nagies, Kevin T. Geier, Javed Akram, Junichi Okamoto, Dimitrios Bantounas, Christof wunderlich, Michael Johanning, Philipp Hauke
(2024)
Qudit-native measurement protocol for dynamical correlations using Hadamard tests
Dynamical correlations reveal important out-of-equilibrium properties of the underlying quantum many-body system, yet they are …
arXiv:2407.03421 [quant-ph] (2024)
Quantum Computation of Thermal Averages for a Non-Abelian D4 Lattice Gauge Theory via Quantum Metropolis Sampling
In this paper, we show the application of the Quantum Metropolis Sampling (QMS) algorithm to a toy gauge theory with discrete …
Phys. Rev. D 109, 034510 (2024)
Squeezing and quantum approximate optimization
Variational quantum algorithms offer fascinating prospects for the solution of combinatorial optimization problems using digital …
Phys. Rev. A 109, 012413 (2024)
Quantum approximate optimization algorithm for qudit systems
A frequent starting point of quantum computation platforms is the two-state quantum system, i.e., the qubit. However, in the context of …
Yannick Deller, Sebastian Schmitt, Maciej Lewenstein, Steve Lenk, Marika Federer, Fred Jendrzejewski, Philipp Hauke, Valentin Kasper
Phys. Rev. A 107, 062410 (2023)
Probing confinement in a $\mathbb{Z}_2$ lattice gauge theory on a quantum computer
Digital quantum simulators provide a table-top platform for addressing salient questions in particle and condensed-matter physics. A …
arXiv:2203.08905 [quant-ph] (2022)
Sampling Rare Conformational Transitions with a Quantum Computer
Spontaneous structural rearrangements play a central role in the organization and function of complex biomolecular systems. In …
arXiv:2201.11781 [quant-ph] (2022)
Polymer Physics by Quantum Computing
Sampling equilibrium ensembles of dense polymer mixtures is a paradigmatically hard problem in computational physics, even in …
Phys. Rev. Lett. 127, 080501 (2021)
Dominant Reaction Pathways by Quantum Computing
Characterizing thermally activated transitions in high-dimensional rugged energy surfaces is a very challenging task for classical …
Phys. Rev. Lett. 126, 028104 (2021)
Perspectives of quantum annealing: Methods and implementations
Quantum annealing is a computing paradigm that has the ambitious goal of efficiently solving large-scale combinatorial optimization …
Rep. Prog. Phys. 83 054401 (2020)
Quantum localization bounds Trotter errors in digital quantum simulation
A fundamental challenge in digital quantum simulation (DQS) is the control of an inherent error, which appears when discretizing the …
Sci. Adv. 2019;5:eaau8342 (2019)
Real-time dynamics of lattice gauge theories with a few-qubit quantum computer
Gauge theories are fundamental to our understanding of interactions between the elementary constituents of matter as mediated …
Esteban A. Martinez, Christine A. Muschik, Philipp Schindler, Daniel Nigg, Alexander Erhard, Markus Heyl, Philipp Hauke, Marcello Dalmonte, Thomas Monz, Peter Zoller, Rainer Blatt
Nature 534, 516–519 (2016)
A quantum annealing architecture with all-to-all connectivity from local interactions
Quantum annealers are physical devices that aim at solving NP-complete optimization problems by exploiting quantum mechanics. The basic …
Sci. Adv. 2015;1:e1500838 (2015)
Talks
Implementing a $\mathbb{Z}_2$ Lattice Gauge Theory in a Digital Quantum Simulator
Digital quantum simulators provide a table-top platform for addressing salient questions in particle, nuclear, and condensed-matter …
Mar 16, 2023
University of Washington, Seattle, USA
Mirradio - Le chicche di Mirradio: Puntata 1 | Quantum Computing
Di quantum computing si sente parlare da un po’ di tempo, ma non sempre viene presentato con chiarezza.
Per raccontarlo come si deve, …
May 12, 2021