Cost estimation

We briefly mentioned resource estimation, but we would like to highlight the importance of this ability when aiming for a sustainable adoption strategy.

Quantum computing is at an early stage, requiring continuous and complex maintenance tasks to provide the best possible service. This is something that classical computing resources have mastered for a long time. Due to the limited ecosystem of hardware providers and the status of the technology, specifically, when aiming for real hardware, we will see costs ramp up significantly, even for the simplest providers. That is why resource estimation is such a crucial step in any QC pipeline, particularly if the model’s training requires iterations:

Figure 7.26 – Cost for Quantinuum on Azure (below) and IonQ in AWS (above)

As an example, we could take the European Call Pricing from Chapter 4 and extract its underlying quantum circuit, which we already know is composed of a block...