3 papers
quant-ph2026
Measurement-Efficient Differentiable Quantum Architecture Search for Combinatorial Optimization
Lukas Theißinger, Thore Gerlach, Christian Bauckhage
Differentiable quantum architecture search (DQAS) is a promising framework for the automated design of quantum circuits, particularly for variational quantum optimization algorithm…
quant-ph2026
Beyond Reinforcement Learning: Fast and Scalable Quantum Circuit Synthesis
Lukas Theißinger, Thore Gerlach, David Berghaus +1
Quantum unitary synthesis addresses the problem of translating abstract quantum algorithms into sequences of hardware-executable quantum gates. Solving this task exactly is infeasi…
cs.MS2025
QUBOLite: A lightweigth Python toolkit for QUBO
Sascha Mücke, Thore Gerlach, Nico Piatkowski +1
We present QUBOLite, a Python package for the creation, manipulation, analysis, and solution of Quadratic Unconstrained Binary Optimization (QUBO) instances. Built as a thin wrappe…