In February 2025, I wrote that Quantum Computing was a “game-changer… eventually.”

A year of R&D has passed, and that eventually is looking a lot like soon. In 2026, we aren’t just talking about qubits; we’re talking about Lattice-based Cryptography appearing in our browser consoles and OpenSSL warnings.

Where is last year’s bleeding edge?

Last year I talked about potential breakthroughs in room-temperature superconductors, mechanical qubits and Google’s Willow chip.

Room-temperature superconductors

It turns out that quantum computers actually run better at ultra low temps. The low temps reduce the thermal noise, because the thermal energy is far larger than the minute energy gap between the qubit’s ground state and the excited state. The main gain from room temperature superconductors would be simplification of the fridge setup, move lab tech closer and improve the I/O bottleneck. If you are interested, here is a deepdive .

Mechanical Qubits

Mechanical Qubits will also not replace normal qubits as we know them now, currently Quantum RAM applications look very promising, because mechanical qubits can keep state longer than normal superconductive qubits. Another application is using them as transducers , basically as a medium to pass information between different types of qubits.

Google’s Willow Chip

Willow has progressed from a purely internal research project to Google shifting its focus from purely demonstrating architectural viability to fostering broader scientific collaboration, actively opening the Willow architecture to external research proposals to stress-test the hardware against novel quantum algorithms and real-world scientific use cases.

The State of the Tech

Microsoft’s Majorana 1

The most significant hardware advancement this last year is Microsoft’s Majorana 1 processor .

  • What it is: Instead of traditional superconducting loops (IBM/Google), Microsoft is betting on exotic quasiparticles called Majorana fermions.
  • Why it matters: These qubits are topologically protected, meaning they’re inherently more stable and less prone to the “noise” that plagued systems previously.
  • The Verdict: While still in the early stages, this architecture could leapfrog the need for millions of physical qubits by providing high-quality logical qubits much sooner.

The Hybrid Integration: NVIDIA CUDA-Q

The Quantum Winter was avoided because we stopped waiting for a standalone quantum computer and started building hybrids. NVIDIA’s CUDA-Q platform has now integrated with quantum processors (QPUs) as standard accelerators in HPC environments. This means financial models can now offload specific complex calculations to quantum chips while the AI runs on GPUs.

Updated Risks to the Finance Sector

The risks have evolved from “The sky will fall eventually” to “Your data is being harvested today.”

  • The ‘Harvest Now, Decrypt Later’ (HNDL) Reality: Both Cloudflare and Google have signaled that 2029 is the de facto Quantum Deadline for full infrastructure migration. They’re actively shielding traffic today to prevent future decryption of current financial secrets.
  • The RSA Warning Era: If you connect to a host using old RSA-2048 keys, OpenSSL and modern browsers now flag these as legacy. In finance, this is rapidly becoming a compliance failure, as NIST has set a hard 2030 deadline for deprecating RSA/ECC.
  • Institutional Crypto Exposure: With firms like BlackRock holding millions of Bitcoin, the Quantum Threat to Crypto is now a systemic financial risk.
  • The Fork Risk: Research suggests over 34% of Bitcoin uses vulnerable legacy formats (P2PK). Institutional giants may soon face a fiduciary duty to force a hard fork to a Post-Quantum (PQ) version of the chain to protect their billions.

New Opportunities for the Finance Sector

AI hasn’t just enhanced your workflow, code, images and grammar; it has now seemingly become besties with Quantum tech.

  • Quantum-Enhanced AI (Q-AI): While 2024 and 2025 was about LLMs, 2026 is about Quantum Reinforcement Learning (QRL). Financial institutions are moving beyond basic price prediction to simulate entire Agent-Based ecosystems . By using quantum superposition, these models can simulate millions of individual market participants reacting to a crash in parallel a feat of multi-agent complexity that causes classical AI to choke.
  • Deep Hedging: Teams at JPMorgan Chase are pioneering Deep Hedging models that use quantum-classical hybrids to find correlations in high-dimensional data that traditional Monte Carlo simulations miss.
  • Lattice-Based Security as a Service: Banks are now offering Quantum-Safe Custody for digital assets, using NIST-standardized ML-KEM (Kyber) to guarantee long-term privacy for their high-net-worth clients.

Are we doomed yet?

The goalposts have moved. We’re no longer waiting for a single Q-Day. Instead, we are seeing a slow-motion explosion where old standards are being deprecated one warning at a time.

  • The Good News: The transition to PQC is happening faster than predicted due to giants like Google and Cloudflare leading the charge.
  • The Bad News: The barrier to entry for “Quantum-Breaking” is dropping as AI helps researchers optimize how they use limited, “noisy” quantum hardware to run low-depth algorithms .

Final Thoughts

I, for one, am surprised at the speed of adoption of post quantum ciphers by the big players to limit the risk of the HNDL movement. If your stack handles private data for customers that you wouldn’t want to find in a data breach dump on the dark web, then start your post-quantum upgrades now. If you are interested in what the doomsday preppers are up to, you can follow them here: