Andrew Cheung

Founder & CEO @01quantuminc, CTO @qlabsofficial Post-Quantum Security Expert. Thought Leader in the #Quantum realm of #CyberSecurity

[Andrew Cheung @acheungquantum]

Hi CT. I lead a public quantum-security company.

Bitcoin and all major cryptos are quantum vulnerable.

This shouldn’t be news, but here we are.

We’ve been working on this problem for 3 years.

Here is what we discovered:

1. simply replacing quantum-vulnerable ECDSA signatures with post-quantum cryptography (Dilithium or Falcon) is not possible without breaking the data structure of standard blockchains since PQC signatures are 20-30x bigger;

2. this means there are two paths one can take: A. hard fork = change the underlying structure of the chain; B. look for ways to incorporate PQC without the size overhead;

3. since no one likes hard forks, we focused on B;

4. witness proof technology (zk proof) can be used to do B;

5. we created a zk proof engine that, on the wallet side, produces a tiny proof of a quantum-safe signature that can be validated by the standard chain validators;

6. this works for EVM and Solana, not (yet) Bitcoin;

7. our patent application and tech whitepaper in comments

What does CT think about this solution to avoid heavy migration (soft fork would still be needed) and make crypto quantum safe?

[Andrew Cheung @acheungquantum]

💭 After 32 years of growing this company from a startup to a public entity, I see quantum-safe technology as our biggest opportunity yet. With NIST-approved algorithms, pioneering patents, and products already in use, we're ready to scale. $oonef @01quantuminc @IronCAPCyber

[Andrew Cheung @acheungquantum]

Yes! 👇

[01 Quantum Inc. @01quantuminc]

See you there! 👀 - it's ticket time 🎟️
June 16 – Virtual Event (FREE Tickets) - https://t.co/UFYFKUHzjK
June 17–18 – Main Event (PAID Only Tickets) - https://t.co/0ZPrjqqstC

[Andrew Cheung @acheungquantum]

50-50 by 2035 is meaningful, 20% chance by 2030 actually the more important. This is 1/5. Given that q-Day is an extinction-level event for trust in modern telecoms, especially internet, we need people to understand. We all buy house insurance (assuming we own a house) where the odds in Canada are about 50,000:1 of a catastrophic fire. … but IT Boards and Executives are willing to roll the dice on 5:1 with the source of their livelihood 🤔

[01 Quantum Inc. @01quantuminc]

The people building quantum computers have just told us they expect to break today’s encryption sooner than ever before!

[qONE @qlabsofficial]

2029 sounds far away. It is not.

Interbank systems take longer than 2.5 years to migrate.

And Harvest Now, Decrypt Later means attackers are already collecting the encrypted data they will crack later.

Q-Day is not a future problem. It is a problem of today.

[Andrew Cheung @acheungquantum]

https://t.co/9H888pVaX4

[Andrew Cheung @acheungquantum]

2.5x faster. 3x more accurate. NVIDIA just open-sourced AI models that compress quantum error correction at every lab on Earth.

On April 14, NVIDIA launched Ising, the first open-source AI model family built specifically for quantum computing. Two models, two targets.

Ising Calibration: a 35-billion-parameter vision-language model that automates quantum processor tuning. NVIDIA's benchmarks show it outperforms Gemini 3.1 Pro, Claude Opus 4.6, and GPT 5.4 on quantum calibration tasks.

Ising Decoding: a 3D CNN framework for real-time quantum error correction. Up to 2.5x faster decoding. Up to 3x more accurate logical error rates than traditional methods.

Both are open-source. Cornell, Sandia National Laboratories, IonQ, IQM, Atom Computing, Harvard's School of Engineering, and Fermilab are already adopting them.

Why this matters for the quantum threat timeline: error correction is the single biggest engineering bottleneck between today's noisy quantum computers and fault-tolerant systems. NVIDIA just widened that bottleneck and gave the tooling to every quantum lab on Earth at no cost. Hardware is scaling. Software efficiency is jumping. The path to cryptographically relevant systems shortens faster than tracking either variable alone would suggest.

[Andrew Cheung @acheungquantum]

The 2025 Quantum Threat Timeline Report, published by evolutionQ Inc. and the Global Risk Institute, surveyed 26 of the world’s leading quantum computing experts — the researchers, engineers, and company leaders actually building these machines.

https://t.co/DmJRAGzdnt

[01 Quantum Inc. @01quantuminc]

Practical Data Sovereignty: Why Reducing the Attack Surface Matters More Than Owning the Stack.
https://t.co/qORpTQwMOD

[Andrew Cheung @acheungquantum]

I love this video from @qlabsofficial 😀 - it totally sums up the problem! 🔐

[Andrew Cheung @acheungquantum]

💡 Think about this: Google's Willow chip just proved quantum computing is accelerating faster than expected. We own Patent #11,669,833 - the ability to make every crypto quantum-safe. First mover advantage in an evolving tech landscape. $oonef @01quantuminc @IronCAPCyber

[Andrew Cheung @acheungquantum]

📺 Tune in with Matt Zahab and me as we discuss everything related to quantum mechanics 🎙 Watch it here: https://t.co/1omHmR73RC $oonef @01quantuminc @IronCAPCyber

[Andrew Cheung @acheungquantum]

https://t.co/3OVP9qvRt1

[Andrew Cheung @acheungquantum]

2 minutes vs 100+ hours. Same problem. Quantum hardware beat the best classical method by 3,000x last week.

Q-CTRL and IBM ran a materials science simulation on the IBM Quantum Platform: dynamical evolution of up to 60 interacting electrons in a one-dimensional Fermi-Hubbard model. The quantum algorithm used 120 qubits and over 10,000 two-qubit gate operations, with Q-CTRL's runtime error suppression handling reliability.

Time on quantum hardware: approximately 2 minutes. Time on the best available classical method (Time-Dependent Variational Principle from the Flatiron Institute): over 100 hours. Speedup: 3,000x.

The Fermi-Hubbard model is a standard problem in condensed matter physics. Industry practitioners use it to study electron interactions in materials relevant to energy storage and superconductivity. Classical computers struggle with it as the system size grows. This wasn't a contrived benchmark.

Q-CTRL calls this "evidence of practical quantum advantage." The phrase is precise: a quantum processor delivered a useful result faster than the best classical alternative on a commercially relevant problem.

If 120-qubit machines with error suppression can already outperform classical methods on real problems, the gap between "useful quantum computation" and "cryptographically relevant quantum computation" is a scaling problem, not a feasibility problem.

[Andrew Cheung @acheungquantum]

Boom 💥

[Tony G @TonyGuoga]

Last steps with @acheungquantum.

qLABS is launching qVAULT, the first wallet that protects crypto from the quantum threat.

Soon.

[Tony G @TonyGuoga]

Last steps with @acheungquantum.

qLABS is launching qVAULT, the first wallet that protects crypto from the quantum threat.

Soon.

[Andrew Cheung @acheungquantum]

https://t.co/PaG4KphJU7

[Andrew Cheung @acheungquantum]

$20 billion target valuation on $30.9 million in revenue. That's roughly a 645x revenue multiple. J.P. Morgan and Morgan Stanley are underwriting it anyway.

Quantinuum filed its S-1 with the SEC on May 8 for a Nasdaq IPO under ticker QNT. The S-1 financials: 2025 revenue of $30.9 million, net loss of $192.6 million. Q1 2026 revenue dropped to $5.2 million from $19.1 million the year before. Q1 2026 net loss expanded to $136.6 million.

The target valuation is above $20 billion, double the $10 billion pre-money mark from the September 2025 private round. Jefferies and Evercore ISI are also on the deal.

The number that explains the rest: 2029. That's when Apollo, Quantinuum's universal fault-tolerant quantum computer, is scheduled. The S-1 frames Apollo as the threshold where quantum computing moves from research tool to commercial platform.

J.P. Morgan does not underwrite $20 billion IPOs for science projects. The underwriters did diligence on whether the 2029 timeline is plausible, and they priced it at twenty billion dollars.

For everyone who depends on deployed classical cryptography: the institutions that price risk for a living just put $20 billion on a three-year path to fault-tolerant quantum hardware. That's the timeline the rest of the industry should be planning against.

[Andrew Cheung @acheungquantum]

https://t.co/9H888pVaX4

[Andrew Cheung @acheungquantum]

2.5x faster. 3x more accurate. NVIDIA just open-sourced AI models that compress quantum error correction at every lab on Earth.

On April 14, NVIDIA launched Ising, the first open-source AI model family built specifically for quantum computing. Two models, two targets.

Ising Calibration: a 35-billion-parameter vision-language model that automates quantum processor tuning. NVIDIA's benchmarks show it outperforms Gemini 3.1 Pro, Claude Opus 4.6, and GPT 5.4 on quantum calibration tasks.

Ising Decoding: a 3D CNN framework for real-time quantum error correction. Up to 2.5x faster decoding. Up to 3x more accurate logical error rates than traditional methods.

Both are open-source. Cornell, Sandia National Laboratories, IonQ, IQM, Atom Computing, Harvard's School of Engineering, and Fermilab are already adopting them.

Why this matters for the quantum threat timeline: error correction is the single biggest engineering bottleneck between today's noisy quantum computers and fault-tolerant systems. NVIDIA just widened that bottleneck and gave the tooling to every quantum lab on Earth at no cost. Hardware is scaling. Software efficiency is jumping. The path to cryptographically relevant systems shortens faster than tracking either variable alone would suggest.

[Andrew Cheung @acheungquantum]

https://t.co/oggWIINvzl

[Andrew Cheung @acheungquantum]

5 to 10 years. That's how much Harvard's Mikhail Lukin just compressed the timeline for fault-tolerant quantum computers.

Lukin, co-director of the Harvard Quantum Initiative and co-founder of QuEra Computing, said this week that building useful quantum computers is "in our direct line of sight." Fault-tolerant machines, he said, will likely arrive by the end of this decade.

This is not a startup pitch deck. Lukin co-created the neutral-atom quantum computing platform QuEra commercializes ($230M+ raised). The claim is backed by a Nature publication: a 448-atom fault-tolerant architecture demonstrated by his group. Separately, QuEra with partners at Harvard, MIT, and Yale demonstrated a 3,000-qubit array operating continuously for over two hours, with up to 96 logical qubits and error-correction overhead reduced by up to 100x.

When timeline estimates compress, they usually compress by months. Lukin compressed by years. With peer-reviewed evidence.