For years, quantum computing was easy to file under "someday." That filing is now wrong. The field has working systems, early real-world uses, and a hardware and software ecosystem that grows every quarter. It is still far from the scale needed to break modern encryption — but "far" is a statement about engineering timelines, not about whether you should be doing anything yet. You should. We built quantakrypto for the part of that work nobody has resourced.
Why we exist
Quantum is already useful — in chemistry and materials, not codebreaking. The cryptographic break is widely treated as a 2030s problem. But because data harvested today can be decrypted later, and because migrations take years, the security problem is active now. The standards are finished; most migrations have not started. We close that gap.
Quantum's transistor moment
Recent reviews describe the field as being at a "transistor moment": the science is established, but turning it into large, reliable machines is the hard part still ahead. Functional systems now exist across several hardware paths — superconducting qubits, trapped ions, neutral atoms, photonic qubits, and spin-based systems — and every one of them is still wrestling the same engineering problems: error rates, wiring complexity, calibration, and temperature control. Like the transistor in the late 1940s, the breakthrough is real and the utility-scale machine is years of engineering away.
It's already useful — just not where you'd guess
The clearest early wins are problems that speak quantum mechanics natively: molecular simulation, materials science, and catalyst design. Drug discovery and chemistry lead, because a quantum computer can model molecular interactions more directly than the approximations classical machines fall back on. Pharmaceutical and industrial firms — names like Roche, Boehringer Ingelheim, BASF, Mercedes-Benz, BMW, and ExxonMobil — already run research partnerships in exactly these areas. What quantum does not do today is break RSA, replace your data pipeline, or accelerate broad AI workloads. Those are still bad fits.
Cryptography is the exception to "wait and see"
For almost everything else, it's reasonable to watch the hardware mature before acting. Confidentiality is the exception, and the reason is harvest-now-decrypt-later: an adversary can record your encrypted traffic today, store it cheaply, and decrypt it the day a capable machine exists. The break-point itself is widely treated as a 2030s problem rather than a 2020s one — but the exposure starts the moment your ciphertext is captured. For anything that must stay secret for years, the clock has already started.
The trap
Waiting for a dramatic "quantum breakthrough" before acting. By the time a cryptographically-relevant quantum computer is demonstrated, a multi-year migration should already be finished. The trigger to start isn't the machine — it's how long your data has to stay confidential.
Governments already moved
This is no longer a fringe concern. NIST finalized the post-quantum standards in 2024 — ML-KEM, ML-DSA, and SLH-DSA. Public- and private-sector programs are broadly working toward migrating high-risk systems to post-quantum algorithms by around 2035, and regulators from defense to finance are standing up dedicated committees to assess quantum risk as strategic infrastructure. Officials are candid that nobody can name the exact arrival date of a code-breaking machine — which is precisely why the work is framed as preparation, not reaction.
The gap we exist to close
Here's the asymmetry that created this firm. The math is finished, the algorithms are named, and governments have set the clock — yet most organizations have not inventoried where classical cryptography lives, let alone begun to migrate. Choosing ML-KEM is the easy part. Finding every RSA and elliptic-curve dependency across code, libraries, and infrastructure, ranking each by confidentiality lifetime, migrating without breaking production, and producing proof an auditor will accept — that is unglamorous, multi-year engineering. It is the work between a finished standard and a finished migration, and it is the work that goes unstaffed.
We didn't build quantakrypto because a quantum computer is about to break the internet next year. We built it because the migration is years of work, the harvesting may already be happening, and someone has to do the unglamorous middle. The correct posture is the one governments have already adopted: inventory long-lived sensitive data now, find what depends on RSA and ECC, and migrate through the 2030s on purpose rather than in a panic. The math is settled. The migration is the work. Let's get to it — start with a scan: npx @quantakrypto/qscan ./