Discrete-Time Quantum Walk Circuits for Biological Networks

Viacheslav Dubovitskii's repository provides code and a Jupyter notebook for constructing discrete-time quantum walk circuits. The workflow covers graph-based quantum walk formulation, symmetry-aware circuit construction, and transpilation for superconducting quantum devices. The dataset was last updated on 2026-05-08.

Use Cases

• Simulating quantum walk dynamics on biological network structures based on the graph-level definitions described.
• Developing hardware-aware quantum circuits based on the described transpilation workflow for realistic device coupling maps.
• Studying symmetry properties in quantum systems based on the symmetry-aware circuit construction methods mentioned.

Strengths

• Includes a complete Jupyter notebook demonstrating the workflow from graph definition to transpiled circuits.
• Provides code for hardware-aware transpilation targeting near-term superconducting quantum devices.
• Dataset is licensed under Apache-2.0, allowing for permissive reuse and modification.

Limitations

• The dataset is 1.4 MB, which is a small scale and may not contain extensive example data.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale analysis.

Provenance

Source

Viacheslav Dubovitskii via figshare

Collection Method

Code and notebook repository demonstrating a computational workflow.

Freshness

Last updated 2026-05-08 11:11:02.