When the team deploys the second task under Superdense Consensus (SDC), it’s going to be a game-changer for both crypto and quantum computing.
Rn, most crypto mining is just computers doing useless math to secure the network.
With SDC + second task (Planck) miners will start doing real, useful quantum work - like optimizing quantum circuits so future quantum computers can run faster and cheaper. Think of it as turning thousands of gaming GPUs into a giant decentralised quantum research lab.
This is Huge because:
1. Researchers and companies will actually pay to use the network for real problems.
2. Miners get paid in qubitcoin-2:native for doing meaningful science instead of wasting electricity.
3. qubitcoin-2:native becomes one of the first blockchains where mining = actual scientific progress.
QuBitcoin is becoming the decentralised Quantum Computer - the IonQ of crypto.
Why $QTC (@qubitcoinx) could be the next #Bitcoin and the ultimate dark horse in #crypto 🔥
Bitcoin revolutionized money with decentralized, scarce digital gold (21M cap, #PoW security). But the future isn't just scarcity - it's #quantum computing.
Enter $QTC: A quantum-enhanced Layer-1 blending blockchain with real quantum computation via Quantum Proof-of-Work (#qPoW). Miners don't waste energy on useless hashes. They simulate quantum circuits on GPUs, producing verifiable, useful work that advances quantum simulators, algorithms, and hybrid quantum-classical infrastructure.
Why it has Bitcoin-level potential:
21M supply cap with halvings - classic sound money mechanics, but with productive mining.
- Quantum future-proofing: As quantum computers threaten traditional crypto (breaking ECDSA/RSA), $QTC leans *into* the tech. It's building the bridge to the post-quantum world while others scramble.
- Real utility baked in: Mining accelerates quantum research (think QuEra/MIT-level talent ties). This isn't vaporware hype - it's turning hashpower into scientific progress and a stronger network.
- Tiny dark horse status: 1.5-2M MC, doxxed team, strong Kaspa ($KAS) community overlap, thin liquidity. Early adopters are loading up quietly before the narrative explodes.
Bitcoin caught the digital scarcity wave. $QTC is positioned for the #quantum + AI + decentralized compute supercycle. Low cap + real tech + macro tailwinds (quantum arms race heating up) = asymmetric upside most projects can only dream of.
This isn't financial advice — DYOR, but the setup screams "early Bitcoin" energy for those paying attention.
$QTC 1000x potential. Who's in? I have a position! 🔥 @qubitcoinx
$QTC reminds me of when I bought $QNT in 2018 on Idex but a 100x more compelling.
The Quantum Computing Narrative is just starting and in 2026 it will become deafening.
And the great thing about the Quantum narrative is you can’t fork it with cheap useless knockoffs like the AI narrative.
There are only around 20 total experts on it worldwide and guess what, the majority of them are involved with $QTC.
DYOR as if your life depends on it…
qubitcoin-2:native looks insanely well in this market. Remember that when projects behaving like this will run extra hard when markets are looking better.
@qubitcoinx lead by @MYShalaginov one of the top scientists in quantum over the whole world. Talking with the highest quantum engineers.
@qubitcoinx extremely well connected, connected to @GoogleQuantumAI@IonQ_Inc@nividia and many more big companies. Als @MYShalaginov is quantum machine build lead at @QueraComputing and Quera is worth around 5 billion dollars. They collected in 2025 250 million from @GoogleQuantumAI.
@MYShalaginov also co owner of @632nmPodcast with over 10k subs and have podcasted the greatest and highest peeps in quantum and business.
The connections are easy to make here if you read all above, @MYShalaginov so close to @GoogleQuantumAI and other big quantum giants that in the future @qubitcoinx might get some vc investments or other stuff like that aswell.
Not to forget the project advised by the incredible Dubrovsky that was an early contributor/advisor to kaspa:native.
Kaspa: 5/6 billion all time high
Qubitcoin: 3/4 million market cap
Yudong cao also an advisor of qubitcoin-2:native and got a high function in a billion dollar company and is top quantum scientist with an incredible back story.
It’s so early. Everything under 100$ is very misspriced.
Chartwise, it’s up from the bottom and it seems we’re in for a rally. Good strength compared to bitcoin:native
@realvijayk@kapsacoin IonQ mcap 20BN
QTC mcap 4M
The CEO of $QTC is also Quantum Machine Build Lead at @QueraComputing who recently raised over $230M from Nvidia and Google.
The Devs at QTC were recently recognised for their work by @IonQ_Inc
QTC is the decentralised Quantum Computer.
@realvijayk@kapsacoin $QTC is a blue chip larping as a micro cap (4m mcap) while the founders are from MIT and Dr. Mikhail Shalaginov (@MYShalaginov), ranked as one of the world’s top 2% most-cited researchers in 2025 in the latest @Stanford / @ElsevierConnect ranking.
https://t.co/eGkVwfEZVG
There is another Proof-of-Useful-Work gem besides $PRL sitting on Safetrade, quietly waiting to be discovered … 👀
One is valued at ~$220M.
The other sits around ~$3M.
Built around research originating from academia as well and a team with backgrounds from MIT, Harvard and quantum computing research. Advisors were heavily involved in $KAS.
Both projects are attempting to make computation itself the scarce resource:
$PRL → useful AI computation
$QTC → useful quantum simulation
Different markets, similar idea.
Bet AI + Quantum = win
https://t.co/txfCW3Lk7i
@qubitcoinx Quantum makes AI look incredibly basic.
Infact there is no path to achieving singularity without Quantum Computing.
At some point all these AI Data Centers are going to pivot to Quantum Computing.
$QTC will lead the charge.
@IonQ_Inc Mcap $20BN
$QTC Mcap $2.8M
qPoW is actually insane tech.
SHA3 hashing + parametrized quantum circuits + quantum sampling + classical verification all combined into one architecture.
(@MYShalaginov and @MikeDubrovsky are cooking hard here. Remember that Dubrovsky is the advisor of @kaspa aswell. Kaspa hit 5 billion dollars.)
And this wasn’t just theory the prototype was benchmarked on real IBM quantum hardware.
@qubitcoinx is building way deeper tech than most people realize.
Mikhail and Yudong recently had a great discussion with Fred Chong, one of the world’s leading voices in quantum computer architecture.
Quantum computing is still largely a field shaped by physicists, which makes Fred’s perspective especially valuable, coming from computer architecture and supercomputing.
They drilled into the challenges of building the full stack required for fault-tolerant quantum computing: compilers, error correction, verification, scheduling, and hardware/software co-design, and debated where NISQ-era approaches may still provide value, particularly for optimization problems with limited datasets such as biomarker discovery and cancer treatment prediction.
For the Qubitcoin community, this direction is highly aligned with what we have been building:
In addition to our VQA-based component already being part of qPoW, for the last few months, we have been heavily focused on integrating tasks directly relevant to fault-tolerant quantum algorithms and the future quantum software stack.
The long-term goal is not just to make a quantum-aware blockchain, but to help create computational infrastructure naturally connected to the emerging fault-tolerant quantum ecosystem.
This week we sat down with Professor Fred Chong (University of Chicago) to talk about the future of quantum computing and why one of its first real applications may be cancer treatment prediction.
Chong explains how quantum algorithms like QAOA could help identify hidden cancer biomarkers by analyzing complex biological datasets that overwhelm conventional approaches.
We also get into fault-tolerant quantum computing, quantum compilers, neutral atoms, superconducting qubits, and how useful quantum systems may emerge long before fully error-corrected machines arrive.
Full episode is here on X and at the links below (see comment).
Timestamps:
00:00 - Intro
01:34 - From Jurassic Park to Quantum Computing
10:13 - Modernizing NISQ Research
13:45 - Designing Around Quantum Hardware
20:30 - Variational Quantum Algorithms
23:07 - Quantum Computers for Cancer Research
30:35 - How Q4Bio Began
37:20 - Will We Need QEC in the Future?
40:25 - What Quantum Computers Can Learn from Classical Architecture
43:08 - Would Fred Return to Classical Computing?
46:11 - Quantum Software and Quantum Compilers
55:19 - Starting https://t.co/WSyvIzK6Zz
1:01:43 - Classical Analogs to Quantum Hardware
1:12:21 - Advice for Young Scientists
1:17:43 - Is AI Impacting Quantum Research?
1:22:38 - Importance of Formal Verification
1:30:40 - QLDPC Codes
1:35:48 - Fred’s Beginnings in Computer Science
1:42:48 - Chicago vs Silicon Valley
1:46:27 - Do We Need More Quantum Software Companies?
1:53:17 - Future of Quantum Computing and Cryptography
@LaPetiteADA@LaPetiteADA
Me - you are 💯 % right - one need a brain to understand
Brain 🧠 - whaaat do you mention me ?
Me - just a real brain - one like you my brain
Brain 🧠 - man you chatched the curve at last