
Part 2: I Asked AI To Program A Real Quantum Computer
Last Updated on March 4, 2025 by Editorial Team
Author(s): Vivek Sinha, PhD
Originally published on Towards AI.
This member-only story is on us. Upgrade to access all of Medium.
Surprising accuracy of Claude 3.7 in coding a complex quantum algorithm.
Does Claude 3.7 have an advanced understanding of quantum Physics-based algorithms?
In my previous article, I described how Claude Sonnet 3.7 was able to capture the necessary Physics for creating a Bell state on a real quantum computer. You can access my previous article here:
The results were amazing!
medium.com
This time I asked it to code a more advanced algorithm called Quantum Phase Estimation. Was it able to understand and code the necessary quantum mechanical aspects? Read along to find out.
Imagine you have a mysterious turntable that rotates an object by an unknown fraction of a full circle. Your task is to determine exactly how much it turns. In the realm of quantum computing, this scenario mirrors the Quantum Phase Estimation (QPE) algorithm.
In simple terms, QPE helps us find out the exact amount of rotation (or phase) that a quantum state undergoes when a specific operation is applied. This is crucial because understanding these phases allows us to uncover properties of quantum systems that are otherwise hidden.
Below is… Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming aΒ sponsor.
Published via Towards AI