Samer Rahmeh @SamGR55

I don’t usually get involved in responding to people on X, but I owe you this since you’re the guy who introduced me to crypto a couple of years ago so thank you :) I believe the discrepancy here between Quantum Computing and Quantum computers is in the terminology itself. It's like the idea of producing a supercar (Quantum Computer) and modifying a regular car into a supercar (Quantum Computing). Dynex utilizes the VRAM of Classical GPUs to emulate superposition entanglements through memristor motions which gives it the properties of quantum computational speed and efficiency (so technically it's “digital twinning” of the quantum computing inside classical VRAM) and the “quantum” word comes from the state of those emulated memristors (superposition) and interactions between themselves [entanglements] (linear/quadratic interactions) [I’m trying to stay away from technical terminologies as much as possible] The same goes for “neuromorphic” (which is technically a biological terminology of neurons and perceptions in our body/brain) where the nervous system (aka blockchain) connects the whole neurons (miners [GPUs]) together and each group of neurons receives a specific job from the brain [Dynex distributes jobs to pools (MALLOBS)]. “Machine Learning” simply is a mimicry of human thinking and recognizing patterns [where it is technically a CPU/GPU calculating the weights of the neurons in each layer by computing the activation functions] and so on. I hope this helps Andy :)

In the Quantum Computing industry, all companies are competing to build the largest and/or most efficient Quantum Computer where Dynex is taking a uniquely innovative approach (let's call it an unorthodox approach), Dynex is emulating the superposition entanglement inside the Classical GPU VRAM (Digital Twinning to be precise), and we were limited with Quantum Annealing at that time but recently, but Dynex recently bridged the gate models to annealing models and some quantum companies/research centers reached out to us to test it and validate it (I wish I could share names), they requested to have the source code/formulas for that approach but we decided to take an extra safety measure by applying for IP first, the Quantum industry is massive and those companies are backed by big investors and resources where Dynex is self-funded, once the IP is registered and completed, we will get more flexibility and freedom with open sourcing the rest of our innovation with them.

Most of the deep technical interviews are being done privately and not in public (I could show you a lot of them), because they’re not on the same level people would understand easily, how would you like me to talk about Hamiltonians in memristor motions or QML or even Quantum Annealing when most of the audience doesn't know what standard deviation is?! Dynex has 2 ecosystems (Business and Crypto) and I'm not a crypto person myself, I exist in the business ecosystem of Dynex, I don't talk about the price or any type of trading, what I care about is, developing the technology. Joe here attacked me personally and not Dynex, he could've reached out to me, or he could've checked my work or even my YouTube videos or any social media platforms, but he chose to be toxic, subjective, and disrespectful because maybe he wants attention or maybe he hates DNX, I don't know honestly. Overall, adoption takes time and hard work, especially if it is a new technology and I can promise you I won't stop building no matter what. I'm available for any technical questions/interviews. I appreciate your reaching out Joseph.

New academic paper published: Integration of LifeRacing Systems with Dynex n.quantum Platform 🔗academia.edu/124541814/Inte… @SamGR55 @EuropeanLMS

⚛️ Quantum Meets Motorsport! 🏎️ @dynexcoin $DNX is revolutionizing racing with their quantum computing platform. From optimizing gear-shifting to real-time ECU data simulations, Dynex sets a new standard in motorsports. They're transforming the European Le Mans Series!

New record in Quantum Volume is broken 2^119 🚀

Dynex @dynexcoin

2 years ago

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

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Dynex joins @EuropeanLMS Dynex Co-Founder and @DynexMoonshots Mission Leader Daniela Herrmann together with @y3tiCrypto Clifford Mapp, Head of Security, introduce Dynex Quantum as a Service to Motorsports.

@odbashWizard 🔥🔥🔥 we’re framing the future, my friend

We won’t stop building!

Dynex @dynexcoin

2 years ago

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

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Another milestone and proof of our superiority 🔥

Dynex @dynexcoin

2 years ago

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-solidifi…

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Quantum GPT? Yeah. That's what we've kicked of working on lately w Sam @dynexcoin . Early AI visualization exercise w @splinetool

@onuro @dynexcoin @splinetool That looks awesomely fascinating 🔥🔥🔥

Let me step down to your level and answer this question, first of all, it is not about who’s better, Dynex or Nvidia or Amazon or whatever, it’s about the paradigm shifting from Classical Computation to Quantum Computation, Yes Dynex is more efficient than NVIDIA/Amazon when it comes to Quantum Annealing and/or Optimization problems, where Dynex provides Quantum Computing at scale, the others have limitations. The correct word that you’re looking for is “adoption” which we’re working on it by onboarding clients, and you don’t have to be a client to test our computing power, just head over to the marketplace and test it out by yourself. Dynex won’t change its vision and we will keep building no matter what. After all, success is never a destiny, it’s all a frame of mind.

The upcoming support for quantum gate circuits provides impressive functionality, significantly expanding the #Dynex ecosystem. Amazing work @SamGR55 and team! $DNX #quantum #AI @PennyLaneAI @qiskit @GoogleAI @IBM

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Proud moment for Dynex 🔥🚀🎬 The world’s first documentary on neuromorphic #quantumComputing was featured at this year’s @giffmx organized by @idea_gto and presented by Dynex Co-Founder and @DynexMoonshots Mission Leader Daniela Herrmann. Watch the standout 5-chapter film below👇 ▶️ youtu.be/ZYKDroHnPgs #GIFF2024 #ViveGrandStories $DNX #Dynex #quantum #AI #PoUW #DePIN

Today we had a productive meeting with @SamGR55 Samer Rahmeh, Global head of Quantum Solution Architecture at Dynex @dynexcoin to start utilizing n.quantum computing in our AfniahERP Platform for computational engineering tasks and portfolio optimization which makes us the 1st architectural firm that uses Quantum Solutions in our ERP system.

@odbashWizard Great video buddy ✨

📢 DYNEX WELCOMES SAMER RAHMEH TO THE LEADERSHIP TEAM Excited to welcome Samer Rahmeh as Dynex's Global Head of Quantum Solutions Architecture! With his extensive experience in machine learning and quantum computing, he will lead customer onboarding, develop quantum algorithms, create POCs, and conduct training. Samer’s expertise will drive customer success and innovation. Give him a warm welcome! $DNX #Dynex @SamGR55 #quantum #ai

Absolutely fascinating how fast Dynex was in the 1000 timestamp compared to Nvidia H100

Dynex @dynexcoin

2 years ago

📢 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

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