9 papers
Imaginarity as a necessary resource for trainability in QAOA
Syed Muhammad Ali Hassan, Kostas Blekos, Stefan Kühn +2
The quantum approximate optimization algorithm (QAOA) tackles combinatorial problems by tuning a quantum circuit in a classical loop, often guided by gradients. We show that the gr…
(2+1)D quantum electrodynamics at finite density on a quantum computer
Emil Otis Rosanowski, Arianna Crippa, Lena Funcke +3
In this paper, we explore (2+1)D quantum electrodynamics (QED) at finite density on a quantum computer, including two fermion flavors. Our method employs an efficient gauge-invaria…
Warm Start of Variational Quantum Algorithms for Quadratic Unconstrained Binary Optimization Problems
Yahui Chai, Karl Jansen, Stefan Kühn +2
Variational Quantum Eigensolver (VQE) is widely used in near-term hardware. However, their performances remain limited by the poor trainability and are dependent on random paramete…
Fermion Discretization Effects in the Two-Flavor Lattice Schwinger Model: A Study with Matrix Product States
Tim Schwägerl, Karl Jansen, Stefan Kühn
We present a comprehensive tensor network study of staggered, Wilson, and twisted mass fermions in the Hamiltonian formulation, using the massive two-flavor Schwinger model as a be…
Quantum Brush: A quantum computing-based tool for digital painting
João S. Ferreira, Arianna Crippa, Astryd Park +5
We present Quantum Brush, an open-source digital painting tool that harnesses quantum computing to generate novel artistic expressions. The tool includes four different brushes tha…
Quantum computing inspired paintings: reinterpreting classical masterpieces
Arianna Crippa, Yahui Chai, Omar Costa Hamido +2
We aim to apply a quantum computing technique to compose artworks. The main idea is to revisit three paintings of different styles and historical periods: ''Narciso'', painted circ…