DevConf.IN 2026

Are you a Software Engineer who failed physics, but loves distributed systems? Then you're at the right talk!

Quantum Computing is often explained with dead cats and spinning coins. This talk is designed to demystify a high-hype topic by avoiding bloch spheres and physics equations. The focus is entirely on the software supply chain and infrastructure implications of quantum computing. Our discussion will be limited to yaml files and container logs.

I specifically aim to highlight open source contributions from the Red Hat ecosystem, particularly the integration of PQC into the Linux userspace (Fedora/RHEL) and the operationalization of quantum workloads via Kubernetes Operators. This bridges the gap between "Quantum Scientist" and "Backend Developer."

The talk will highlight the following efforts:

1. RHEL 10 & Fedora: How the OS layer is adopting NIST-approved algorithms (ML-KEM, ML-DSA) in core libraries like OpenSSL and GnuTLS. We'll show you how to switch your crypto-policies to "Quantum Ready" with a single command.
2. OpenShift Quantum Operators: We will look at the OpenShift Qiskit Operator. We will spin up a Jupyter notebook environment on Kubernetes that connects to real quantum backends, effectively treating a Quantum Processing Unit (QPU) as just another accelerator, like a GPU.
3. Liboqs (Open Quantum Safe): The open-source library powering much of this revolution, and how to use it to test if your application crashes when the keys get suddenly bigger.

As software engineers, we don't build the quantum hardware; we build the software that survives it. The arrival of fault-tolerant quantum computers threatens to break the encryption that glues the internet together (RSA, ECC). This isn't sci-fi; it’s a supply chain ticket waiting to happen.