Qtonic Quantum
1.3K posts

Qtonic Quantum
@QtonicQuantum
Leading the quantum cybersecurity revolution. Permanent post-quantum readiness for enterprises across all sectors. Q-Day is coming. Will you be ready?









Quantum computing is not just a future problem. Steve Ferrigno from @Algorand explains the “store now, decrypt later” risk where encrypted data collected today could be cracked in the future once quantum computers become powerful enough. #ALGO #QuantumComputing

Evidence suggests Post Quantum Cryptography era will arrive before the 2029 Google predictions. BItcoin is safe but just about everything else is not. “Last month, we called to secure the quantum era before a future quantum computer can break current encryption. This new timeline reflects migration needs for the PQC era in light of progress on quantum computing hardware development, quantum error correction, and quantum factoring resource estimates”—Google


“Creating a statewide quantum network in Florida will mark another major milestone in the deployment of IonQ’s global quantum platform,” said @NiccoloDeMasi, Chairman and CEO of IonQ. Read our full announcement with Florida LambdaRail: ionq.com/news/ionq-and-…

The path to scalable quantum computing will not be won by simply adding more qubits. It will be won by building better ones. Much of the gate-model industry has pursued scale first and planned to address the error challenge later. We believe that is the wrong approach. D-Wave’s dual-rail qubits give us an important advantage by enabling a correct-first architecture designed to detect errors earlier at the hardware level. That creates a stronger foundation for scale. In our view, the real differentiator is not scale at any cost. It is correct first, then scale. $QBTS #quantumcomputing

also - qubit count is only part of the story. people are missing number of gates and actual runtime. someone yesterday joked saying that it would cost $20M a year to run a football stadium quantum computer... I'd argue that might be an order of magnitude off - how much does it cost to run a football stadium today, without the quantum computer? value > cost

The quantum application landscape is cursed. All the interesting quantum simulations of chemistry and materials are more difficult than breaking ECC keys (which underlies the security of Bitcoin wallets).

You realize that Shor's algorithm at any scale relies on pre and post classical processing, right? In the case of NISQ hardware, the classical post processing does more of the work, which makes small scale demos like this unscalable. But it doesn't make it not quantum. I'm on the record for saying number factoring doesn't matter as a benchmark. But some claim it does. So which is it? Quantum factoring demonstrations are measures of progress? Or not? The point of this work is to show you can't have it both ways.


@QtonicQuantum Who do I submit my room temperature photonic computer design to that is capable of cracking edclp ecc 256 bit today? I'm willing to talk about how it's here today not tomorrow. Are you ?

Strongly recommend reading Coinbase's Quantum Advisory Council report published this week. It could not be more explicit: coinbase.com/blog/coinbase-…

$IONQ I spent today reading IonQ's walking cat paper. All of it. In 1945, John von Neumann published a complete engineering specification for a stored-program computer. Every classical computer built since has been built on that architecture. The walking cat paper is the quantum equivalent. The dense architecture runs 110 logical qubits executing one million T gates per day on 2,514 physical qubits total. The industry has assumed fault-tolerant quantum computing would require roughly 1,000 physical qubits for every logical qubit. The walking cat architecture achieves it with about 23. Cat states are quantum resource states that act as probes, sent to interact with logical qubits to check for errors without collapsing the underlying computation. Walking describes how those states move. Ions are physically shuttled through a chip across specialized zones, traveling to gate zones where operations are performed and measurement zones where results are read. Any ion can reach any zone. The architecture scales by adding zones, not wires. The design principles are called HMRS. Hierarchy, Modularity, Regularity, Simplicity. Pronounced hammers. IonQ's roadmap shows 100-256+ physical qubits in CY26. The 7th generation follows in 2027. 10,000 physical qubits. With 10,000 physical qubits and this architecture, IonQ can simulate a Heisenberg model on 100 sites to chemical accuracy within one month. That calculation is classically intractable. Shor's algorithm factors a 30-bit integer in less than one day on the same architecture. The two capabilities this blueprint requires, two-qubit gate fidelity above 99.99% and reliable ion transport, are capabilities IonQ's commercial systems have already achieved. Niccolo de Masi's word for what separates this from every other quantum roadmap is tangibility. Prior fault-tolerant architectures have typically combined different code families across components in ways that rarely survive the transition from paper to physical machine. The walking cat uses one framework throughout. Memory blocks, magic factories, and cat factories all draw from the same code families. A single decoder handles all of them. This evening Chad Sakac wrote publicly about gate speed and fidelity and closed with this. "We win that battle today. The walking cat paper shows how that evolves to winning tomorrow." The same properties that make IonQ's architecture win today are the exact properties the fault-tolerant architecture is built around. The advantage doesn't change as the era changes. It compounds. IonQ is publishing a seven-part series working through every layer of the architecture. Six more deep dives are coming. The paper is at arxiv.org/pdf/2604.19481. This is where I spent today.