collaborators

13 papers

quant-ph2026

Bundling of bipartite entanglement

Maike Drieb-Schön, Florian Dreier, Wolfgang Lechner

We investigate bipartite entanglement and prove that in constrained energy subspaces, the entanglement spectra of multiple bipartitions are the same across the whole subspace. We s…

quant-ph2026

Qudit extension of parameterized IQP circuits: A generative quantum machine learning approach to integer data

Robert J. Banks, Arianna Crippa, Matthias Traube +3

Parameterized Instantaneous Quantum Polynomial (IQP) circuits have proven useful in quantum generative learning models, particularly for binary distributions. However, when applied…

quant-ph2026

Parity-unfolded distillation architecture for noise-biased platforms

Konstantin Tiurev, Christoph Fleckenstein, Christophe Goeller +6

We introduce the parity-unfolded architecture, a fault-tolerant quantum computing scheme that relies on direct preparation and teleportation of small-angle rotations

quant-ph2026

The Parity Flow Formalism: Tracking Quantum Information Throughout Computation

Berend Klaver, Katharina Ludwig, Anette Messinger +4

We propose the Parity Flow formalism, a method for tracking the information flow in quantum circuits. This method adds labels to quantum circuit diagrams such that the action of Cl…

quant-ph2026

SWAP-less Implementation of Quantum Algorithms

Berend Klaver, Stefan Rombouts, Michael Fellner +4

We present a formalism based on tracking the flow of parity quantum information to implement algorithms on devices with limited connectivity without qubit overhead, SWAP operations…

quant-ph2026

On the uniqueness of compiling graphs under the parity transformation

Florian Dreier, Wolfgang Lechner

In this article, we establish a mathematical framework that utilizes concepts from graph theory to formalize the parity transformation, an encoding strategy for compiling optimizat…