126 citations · 244 across the 10 of their papers we have counts for
10 papers
Qrisp: A Framework for Compilable High-Level Programming of Gate-Based Quantum Computers
Raphael Seidel, Sebastian Bock, René Zander +4
While significant progress has been made on the hardware side of quantum computing, support for high-level quantum programming abstractions remains underdeveloped compared to class…
Uncomputation in the Qrisp high-level Quantum Programming Framework
Raphael Seidel, Nikolay Tcholtchev, Sebastian Bock +1
Uncomputation is an essential part of reversible computing and plays a vital role in quantum computing. Using this technique, memory resources can be safely deallocated without per…
Non-Convergence and Limit Cycles in the Adam optimizer
Sebastian Bock, Martin Georg Weiß
One of the most popular training algorithms for deep neural networks is the Adaptive Moment Estimation (Adam) introduced by Kingma and Ba. Despite its success in many applications…
Efficient Floating Point Arithmetic for Quantum Computers
Raphael Seidel, Nikolay Tcholtchev, Sebastian Bock +2
One of the major promises of quantum computing is the realization of SIMD (single instruction - multiple data) operations using the phenomenon of superposition. Since the dimension…
Automatic Generation of Grover Quantum Oracles for Arbitrary Data Structures
Raphael Seidel, Colin Kai-Uwe Becker, Sebastian Bock +3
The steadily growing research interest in quantum computing - together with the accompanying technological advances in the realization of quantum hardware - fuels the development o…
Local Convergence of Adaptive Gradient Descent Optimizers
Sebastian Bock, Martin Georg Weiß
Adaptive Moment Estimation (ADAM) is a very popular training algorithm for deep neural networks and belongs to the family of adaptive gradient descent optimizers. However to the be…
An improvement of the convergence proof of the ADAM-Optimizer
Sebastian Bock, Josef Goppold, Martin Weiß
A common way to train neural networks is the Backpropagation. This algorithm includes a gradient descent method, which needs an adaptive step size. In the area of neural networks,…
Build-up of the Kondo effect from real-time 2PI effective action for the Anderson impurity model
Sebastian Bock, Alexander Liluashvili, Thomas Gasenzer
The nonequilibrium time evolution of a quantum dot is studied by means of dynamic equations for time-dependent Greens functions derived from a two-particle-irreducible (2PI) effect…
On a three dimensional analogue to the holomorphic z-powers
Sebastian Bock
The main objective of this article is a constructive generalization of the holomorphic power and Laurent series expansions in C to dimension 3 using the framework of hypercomplex f…
Measuring Hidden Higgs and Strongly-Interacting Higgs Scenarios
Sebastian Bock, Remi Lafaye, Tilman Plehn +3
Higgs couplings can be affected by physics beyond the Standard Model. We study modifications through interactions with a hidden sector and in specific composite Higgs models access…