Table 2.
Comparison of state-of-art graph problem-based molecular docking solvers
| Solvers | Implementation modality | Specific problem | Problem scale | Success probability reported | Postprocessing algorithms necessary? | Experimental equipment fo otprint |
Scalability |
|---|---|---|---|---|---|---|---|
| RRAM-based p-computer (this work) | Experimental (Integrated Electronics) | MWCP | 42 nodes | 72% | No | 6.5 × 4 mm2a | Good |
| GBS + Postprocessing49 | Simulated | MWCP | 24 nodes | ~70% | Yes | – | Poor |
| GBS (“Abacus”) + Postprocessing50 | Experimental (Free-Space Optics) | MWCP | 28 nodes | ∽32% | Yes | 2m2b | Poor |
| DC-QAOA52 | Simulated | MWCP | 12 nodes | ∽51% | No | – | Poor |
| Photonic Processor51 | Experimental (Integrated Photonics) | MCP | 9 nodes | – | No | 50 mm2b | Poor |
aOnly chip size is considered. This p-computer is implemented on a printed circuit board (PCB) that integrates a RRAM-CMOS chip.
bEstimated value.