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
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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.
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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 …
Nat. Phys. (2025)
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