# Quantum Computation

Philipp Hauke, Emanuele Tirrito, Julius Mildenberger, Gopal Chandra Santra, Veronica Panizza, Alberto Bottarelli, Sebastian Nagies, Matteo M. Wauters

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

### 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 …

arXiv:2309.07090 [quant-ph] (2023)

### Squeezing and quantum approximate optimization

Variational quantum algorithms offer fascinating prospects for the solution of combinatorial optimization problems using digital …

arXiv:2205.10383 [quant-ph] (2022)

### 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

### 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