27 citations · 84 across the 14 of their papers we have counts for
15 papers
Chiral Parafermions in Floquet Topological Order
Melissa Will, Harald Schmid, Jan Egger +3
Floquet topological order (FTO) extends topology beyond equilibrium, giving rise to phenomena, such as the dynamical transmutation of anyons. Here, we realize FTO in…
Computable fermionic non-Gaussianity from the covariance matrix
Poetri Sonya Tarabunga, Bernhard Jobst, Raúl Morral-Yepes +4
Fermionic non-Gaussianity, or fermionic magic, is a key resource underlying the computational complexity of fermionic quantum systems, yet tractable and operationally meaningful wa…
Matchgate circuit representation of fermionic Gaussian states: optimal preparation, approximation, and classical simulation
Marc Langer, Raúl Morral-Yepes, Adam Gammon-Smith +2
Fermionic Gaussian states (FGSs) and the associated matchgate circuits play a central role in quantum information theory and condensed matter physics. Despite being possibly highly…
Simulating Topological Order on Quantum Processors
Adam Gammon-Smith, Michael Knap, Frank Pollmann
It is an ongoing quest to realize topologically ordered quantum states on different platforms including condensed matter systems, quantum simulators and digital quantum processors.…
Disentangling strategies and entanglement transitions in unitary circuit games with matchgates
Raúl Morral-Yepes, Marc Langer, Adam Gammon-Smith +2
In unitary circuit games, two competing parties, an "entangler" and a "disentangler", can induce an entanglement phase transition in a quantum many-body system. The transition occu…
Quantum Entrepreneurship Lab: Training a Future Workforce for the Quantum Industry
Aaron Sander, Rosaria Cercola, Andrea Capogrosso +9
The Quantum Entrepreneurship Lab (QEL) is a one-semester, project-based course at the Technical University of Munich (TUM), designed to bridge the gap between academic research and…
Typical Machine Learning Datasets as Low-Depth Quantum Circuits
Florian J. Kiwit, Bernhard Jobst, Andre Luckow +2
Quantum machine learning (QML) is an emerging field that investigates the capabilities of quantum computers for learning tasks. While QML models can theoretically offer advantages…
Digital quantum magnetism on a trapped-ion quantum computer
Reza Haghshenas, Eli Chertkov, Michael Mills +56
Digital quantum matter -- realized when discrete quantum gates approximate continuous time evolution -- is susceptible to heating into chaotic, structureless states. If digitizatio…
Probing non-equilibrium topological order on a quantum processor
M. Will, T. A. Cochran, E. Rosenberg +6
Out-of-equilibrium phases in many-body systems constitute a new paradigm in quantum matter - they exhibit dynamical properties that may otherwise be forbidden by equilibrium thermo…
Visualizing Dynamics of Charges and Strings in (2+1)D Lattice Gauge Theories
Tyler A. Cochran, Bernhard Jobst, Eliott Rosenberg +189
Lattice gauge theories (LGTs) can be employed to understand a wide range of phenomena, from elementary particle scattering in high-energy physics to effective descriptions of many-…
Non-Universality from Conserved Superoperators in Unitary Circuits
Marco Lastres, Frank Pollmann, Sanjay Moudgalya
An important result in the theory of quantum control is the "universality" of -local unitary gates, i.e. the fact that any global unitary evolution of a system of qudits can…
A recipe for local simulation of strongly-correlated fermionic matter on quantum computers: the 2D Fermi-Hubbard model
Arash Jafarizadeh, Frank Pollmann, Adam Gammon-Smith
The simulation of quantum many-body systems, relevant for quantum chemistry and condensed matter physics, is one of the most promising applications of near-term quantum computers b…
Classification of the Fashion-MNIST Dataset on a Quantum Computer
Kevin Shen, Bernhard Jobst, Elvira Shishenina +1
The potential impact of quantum machine learning algorithms on industrial applications remains an exciting open question. Conventional methods for encoding classical data into quan…
Scalable simulation of non-equilibrium quantum dynamics via classically optimised unitary circuits
Luke Causer, Felix Jung, Asimpunya Mitra +2
The advent of near-term digital quantum computers could offer us an exciting opportunity to investigate quantum many-body phenomena beyond that of classical computing. To make the…
Efficient MPS representations and quantum circuits from the Fourier modes of classical image data
Bernhard Jobst, Kevin Shen, Carlos A. Riofrío +2
Machine learning tasks are an exciting application for quantum computers, as it has been proven that they can learn certain problems more efficiently than classical ones. Applying…