Dresden 2026 – scientific programme

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QI: Fachverband Quanteninformation

QI 14: Quantum Information Poster Session

QI 14.15: Poster

Wednesday, March 11, 2026, 18:00–21:00, P4

Superconducting Digital-Analog Circuits for Quantum Approximate Optimization — •Siyu Wang and Mohammad H. Ansari — Forschungszentrum Juelich, 52425 Juelich, Germany

Digital-analog quantum algorithms such as the digital-analog Quantum Approximate Optimization Algorithm (DA-QAOA) offer a scalable approach to quantum optimization by combining digital gate-based control with native analog evolution. In this work, we aim to explore a quantum processor architecture that supports DA-QAOA using the multi-mode superconducting resonator as the analog interaction resource.

The structure leverages the finite-mode resonator to enable effective ZZ-type interactions between different pairs of qubits without requiring tunable couplers. Single-qubit gates are applied digitally via dedicated drive lines, enabling a clear separation between analog and digital layers. This approach naturally realizes qubit interactions, thus eliminating the need for SWAP operations that are typically required in digital only architectures with limited connectivity, thereby reducing the circuit depth. The goal is to identify a layout and interaction scheme that preserves the essential properties of DA-QAOA while remaining fabrication-friendly and scalable to larger systems.

Our findings provide a design framework for implementing variational quantum algorithms in NISQ hardware using fewer resources.

Keywords: Digital-analog quantum computing; Quantum approximate optimization algorithm (QAOA); Multi-mode superconducting resonator; Qubit connectivity architecture; Quantum hardware architecture