Samer Rahmeh

Quantum Volume (QV) Record Revisited: 2^119 After publishing our previous record of 2^100, a fellow quantum scientist from @QuantinuumQC (whose record we had broken) reached out and initiated a productive conversation on how to adjust the measurement approach for better comparability. Taking this feedback into account, we performed new measurements using the updated approach. As a result, we not only refined our method but also broke the previous record, now measuring a quantum volume of 2^119. In addition, we published a scientific paper on the topic: 🔗academia.edu/124276903/Compu… We also shared a real-time screen recording of the measurement: 🔗youtu.be/eEiu8e8xlMo We always appreciate inspiring dialogues with our colleagues.

We are excited to announce that Dynex has officially submitted an international PCT patent application (PCT/IB2024/059272) to secure global protection for our Intellectual Property for neuromorphic quantum computing. This strategic move reinforces Dynex's position as a leader in the industry and strengthens our market presence worldwide. 🔗 dynex.co/learn/scientific-pu…

Dynex has achieved a groundbreaking Quantum Volume (QV) of 2¹⁰⁰, setting a new global standard and exponentially surpassing competitors! What is Quantum Volume? Read more: dynexcoin.medium.com/dynex-s…

📢 Wind-tunnel benchmark: traditional CFD vs. Quantum-CFD It was shown that the Quantum algorithm is superior to traditional ones, with saving 95% on time and 90% on costs. Big kudos to @SamGR55 who prepared and ran the benchmark together with @y3tiCrypto, and he also made all sources public: github.com/samgr55/CFD-Bench… $DNX #Dynex #PoUW #DePIN #CFD #airplane #windtunnel

Sorry there hasnt been many audits recently, we have been working hard to bring something to reality. Allowing users to also run scans and checks along side our existing Auditing. This wont fully replace us doing the audits, but just add another layer to an already amazing team! Introducing Y3TI AI (Codename Ai-Anna) A next-generation web 3.0 threat intelligence detection system uses AI to detect and analyse malware and malicious contracts. It achieves this by reverse engineering the underlying code and deploying them in a secure virtual environment to prevent any real-world damage. Our transfer learning mechanism is powered by @dynexcoin and we are excited to be Dynex's 1st official customer Our Team will be fully introduced soon, we will also add the team members to our website for full transparncy of who as a team we are. We are all excited to finally talk about this, its been a long few months working on this for the whole team! @SamGR55 @SerpentXTech @ChumpXd