Even if quantum computers never break a single Bitcoin key, preparing for the threat still comes with two costs.
First, migration.
A Chaincode Labs report estimates that moving the full UTXO set into quantum-resistant outputs could take 305 to 568 days if migration receives 25% of block space.
Then, ongoing overhead.
Depending on the scheme Bitcoin adopts, post-quantum signatures can be roughly 10x to more than 100x larger than today’s 64-byte Schnorr signatures.
The exact bill depends on the design. But retrofitting a live monetary network consumes block space, fees, bandwidth, and coordination before the first key is ever broken.
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First, migration.
A Chaincode Labs report estimates that moving the full UTXO set into quantum-resistant outputs could take 305 to 568 days if migration receives 25% of block space.
Then, ongoing overhead.
Depending on the scheme Bitcoin adopts, post-quantum signatures can be roughly 10x to more than 100x larger than today’s 64-byte Schnorr signatures.
The exact bill depends on the design. But retrofitting a live monetary network consumes block space, fees, bandwidth, and coordination before the first key is ever broken.
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How Proof-of-Useful-Work Rewards the QMS Community
Proof of work has always had one economic problem: the work itself has no value beyond securing the chain. Miners spend energy on hashes no one else wants. The protocol pays for them because no one else will.
QMS keeps the security logic of PoW and puts a second customer beside the protocol. Miners run solvers on real optimization problems posted by enterprise clients, and the same solver run earns from both. One computation, two revenue streams.
The loop is bigger than miners. Finalizers stake the native token and earn a share of every minted block for making history final. Clients pay only for solutions that clear their own bar. Users transact on security that useful work helps fund. Holders sit behind three burn flows — base fees, a fraction of every solution reward, and every unearned finality share — designed to offset dilution as the marketplace grows.
This article covers:
→ The three income streams a QMS miner earns — block rewards, EIP-1559 priority fees, and client solution payments
→ How finalizers, clients, users, and holders each hold a position in the same loop
→ The Ofelimos-based construction that ties every payout to verifiable work — seeded search, checkpoint trails, and a quality-blind lottery
→ Why QUBO is the launch problem class, and how quantum annealers and QAOA machines plug into the same math natively
Every token paid on QMS traces back to work that really happened. When quantum hardware clears client thresholds, it earns through the same marketplace — no protocol change required.
Read the full piece here: https://qms.finance/news/how-proof-of-useful-work-rewards-the-qms-community
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Proof of work has always had one economic problem: the work itself has no value beyond securing the chain. Miners spend energy on hashes no one else wants. The protocol pays for them because no one else will.
QMS keeps the security logic of PoW and puts a second customer beside the protocol. Miners run solvers on real optimization problems posted by enterprise clients, and the same solver run earns from both. One computation, two revenue streams.
The loop is bigger than miners. Finalizers stake the native token and earn a share of every minted block for making history final. Clients pay only for solutions that clear their own bar. Users transact on security that useful work helps fund. Holders sit behind three burn flows — base fees, a fraction of every solution reward, and every unearned finality share — designed to offset dilution as the marketplace grows.
This article covers:
→ The three income streams a QMS miner earns — block rewards, EIP-1559 priority fees, and client solution payments
→ How finalizers, clients, users, and holders each hold a position in the same loop
→ The Ofelimos-based construction that ties every payout to verifiable work — seeded search, checkpoint trails, and a quality-blind lottery
→ Why QUBO is the launch problem class, and how quantum annealers and QAOA machines plug into the same math natively
Every token paid on QMS traces back to work that really happened. When quantum hardware clears client thresholds, it earns through the same marketplace — no protocol change required.
Read the full piece here: https://qms.finance/news/how-proof-of-useful-work-rewards-the-qms-community
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Protocol-wide post-quantum signatures deployed by major L1s:
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Bitcoin has draft BIPs, Ethereum and Solana have roadmaps. The progress is real but production migration is still pending.
As Q-Day approaches, the gap between "planned" and "deployed" becomes the risk.
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Bitcoin has draft BIPs, Ethereum and Solana have roadmaps. The progress is real but production migration is still pending.
As Q-Day approaches, the gap between "planned" and "deployed" becomes the risk.
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A chain where only miners earn doesn't grow. QMS gives every participant a stake in the loop.
Miners and finalizers earn directly. Clients, users, and holders gain from the same loop without running hardware.
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Miners and finalizers earn directly. Clients, users, and holders gain from the same loop without running hardware.
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QMS Network Official
How Proof-of-Useful-Work Rewards the QMS Community Proof of work has always had one economic problem: the work itself has no value beyond securing the chain. Miners spend energy on hashes no one else wants. The protocol pays for them because no one else will.…
Find out more in our latest research article 👆
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Meet the people building QMS.
Allan Brøndum Rasmussen is our Lead Cryptography Engineer.
Allan holds a Master's degree in Mathematics from Aarhus University, covering advanced analysis, number theory, and algebra, followed by a Bachelor's degree in Computer Science. He specialises in high-assurance Rust, cryptographic protocol implementation, and the design of complex distributed systems.
He spent seven years at Systematic A/S as technical lead on large-scale healthcare software, developing strong skills in performance-critical backend systems, database design, and reliable distributed architecture. He then joined Concordium as a Senior Systems Engineer, where he led the rewrite of the blockchain node's execution layer from Haskell to Rust and collaborated with researchers on implementing cryptographic protocols, including zero-knowledge-based identity systems.
Allan joined QMS Network in April, and he's is responsible for ensuring that the security properties established at the research and design level translate faithfully into the implementation.
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Allan Brøndum Rasmussen is our Lead Cryptography Engineer.
Allan holds a Master's degree in Mathematics from Aarhus University, covering advanced analysis, number theory, and algebra, followed by a Bachelor's degree in Computer Science. He specialises in high-assurance Rust, cryptographic protocol implementation, and the design of complex distributed systems.
He spent seven years at Systematic A/S as technical lead on large-scale healthcare software, developing strong skills in performance-critical backend systems, database design, and reliable distributed architecture. He then joined Concordium as a Senior Systems Engineer, where he led the rewrite of the blockchain node's execution layer from Haskell to Rust and collaborated with researchers on implementing cryptographic protocols, including zero-knowledge-based identity systems.
Allan joined QMS Network in April, and he's is responsible for ensuring that the security properties established at the research and design level translate faithfully into the implementation.
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QMS Network Official
Meet the people building QMS. Allan Brøndum Rasmussen is our Lead Cryptography Engineer. Allan holds a Master's degree in Mathematics from Aarhus University, covering advanced analysis, number theory, and algebra, followed by a Bachelor's degree in Computer…
Allan’s fun fact lands a little too well: “Just here to get some useful work done.” (pun intended) 😄
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Compute mining’s economic model can carry into a quantum future, even as the machines change.
Quantum processors will enter as specialized accelerators in hybrid classical-quantum systems, rather than as drop-in replacements for today’s mining rigs.
What carries forward is the coordination layer: route useful optimization work to miners and reward qualifying solutions, regardless of the hardware behind them.
In QMS, quantum hardware can first improve a classical miner’s search. Direct quantum mining follows once probabilistic quantum work can be verified securely.
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Quantum processors will enter as specialized accelerators in hybrid classical-quantum systems, rather than as drop-in replacements for today’s mining rigs.
What carries forward is the coordination layer: route useful optimization work to miners and reward qualifying solutions, regardless of the hardware behind them.
In QMS, quantum hardware can first improve a classical miner’s search. Direct quantum mining follows once probabilistic quantum work can be verified securely.
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Post-quantum security moved into the engineering layer this week.
3 signals stood out:
1️⃣ AI found a serious weakness in HAWK under 60 hours.
On 28 July, Anthropic said researchers working with Claude Mythos Preview found a new attack against HAWK, a third-round candidate in NIST’s additional-signature process. The attack cut HAWK’s effective key strength roughly in half, and its authors withdrew the scheme. NIST said its finalized standards, including ML-KEM, ML-DSA, and SLH-DSA, are unaffected.
The standards process worked: HAWK failed before anyone deployed it. The new part is the speed. The scheme had already passed two rounds of expert review before the AI-assisted team found the weakness.
2️⃣ Quantumglow rebuilds parts of consensus around post-quantum constraints.
Anza published Quantumglow on 30 July as a post-quantum version of Solana’s Alpenglow design. Larger signatures and the lack of practical BLS-style aggregation made a direct algorithm swap unworkable. Anza’s answer combines a tailored hash-based signature scheme, block commitments, authenticated channels, local certificate events, and a new approval mechanism.
3️⃣ Cloudflare now supports post-quantum authentication to origin servers.
On 29 July, Cloudflare added ML-DSA support to Authenticated Origin Pulls and Custom Origin Trust Store. Customers can now configure FIPS 204 certificates to authenticate connections between Cloudflare and their origin servers.
Cloudflare had already brought post-quantum key exchange to these connections. ML-DSA now covers authentication too, protecting against future attackers forging classical credentials.
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3 signals stood out:
1️⃣ AI found a serious weakness in HAWK under 60 hours.
On 28 July, Anthropic said researchers working with Claude Mythos Preview found a new attack against HAWK, a third-round candidate in NIST’s additional-signature process. The attack cut HAWK’s effective key strength roughly in half, and its authors withdrew the scheme. NIST said its finalized standards, including ML-KEM, ML-DSA, and SLH-DSA, are unaffected.
The standards process worked: HAWK failed before anyone deployed it. The new part is the speed. The scheme had already passed two rounds of expert review before the AI-assisted team found the weakness.
2️⃣ Quantumglow rebuilds parts of consensus around post-quantum constraints.
Anza published Quantumglow on 30 July as a post-quantum version of Solana’s Alpenglow design. Larger signatures and the lack of practical BLS-style aggregation made a direct algorithm swap unworkable. Anza’s answer combines a tailored hash-based signature scheme, block commitments, authenticated channels, local certificate events, and a new approval mechanism.
3️⃣ Cloudflare now supports post-quantum authentication to origin servers.
On 29 July, Cloudflare added ML-DSA support to Authenticated Origin Pulls and Custom Origin Trust Store. Customers can now configure FIPS 204 certificates to authenticate connections between Cloudflare and their origin servers.
Cloudflare had already brought post-quantum key exchange to these connections. ML-DSA now covers authentication too, protecting against future attackers forging classical credentials.
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QMS Network Official
Post-quantum security moved into the engineering layer this week. 3 signals stood out: 1️⃣ AI found a serious weakness in HAWK under 60 hours. On 28 July, Anthropic said researchers working with Claude Mythos Preview found a new attack against HAWK, a…
The QMS takeaway:
QMS starts from a simple assumption. The next generation of blockchain infrastructure should be quantum-resistant by design, and network compute should do useful work.
This week showed how much harder those choices become once the infrastructure is already live.
QMS starts from a simple assumption. The next generation of blockchain infrastructure should be quantum-resistant by design, and network compute should do useful work.
This week showed how much harder those choices become once the infrastructure is already live.
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AI is turning compute markets into some of the most important infrastructure of the next decade, expanding blockchain’s role in coordinating them.
The demand curve keeps steepening. More models, more inference, more work that has to run somewhere. Microsoft alone is spending $190B on capex this year, up 61%, and still tells investors demand exceeds available capacity. Centralized providers will keep growing, yet they won’t be enough.
Decentralized compute is a release valve, but it has always hit the same wall. You can pay a stranger for work. Proving they did it is the hard part. Blockchains price and settle cheaply. Verification is the bottleneck.
On QMS, miners run solvers on useful problems proposed by clients. The solver hashes its own state as it goes, so a verifier re-runs one chunk instead of the whole computation.
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The demand curve keeps steepening. More models, more inference, more work that has to run somewhere. Microsoft alone is spending $190B on capex this year, up 61%, and still tells investors demand exceeds available capacity. Centralized providers will keep growing, yet they won’t be enough.
Decentralized compute is a release valve, but it has always hit the same wall. You can pay a stranger for work. Proving they did it is the hard part. Blockchains price and settle cheaply. Verification is the bottleneck.
On QMS, miners run solvers on useful problems proposed by clients. The solver hashes its own state as it goes, so a verifier re-runs one chunk instead of the whole computation.
Original Tweet
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A snapshot of where major ecosystems actually stand on post-quantum migration:
Bitcoin: two numbered BIPs now exist. BIP-360 (quantum-safer outputs, merged Feb 2026) and BIP-361 (a phased legacy-signature sunset, published April 2026). Both are drafts. Nothing is activated, and no migration design has network consensus.
Ethereum: a dedicated EF post-quantum team formed in January. Its public roadmap covers four surfaces: account signatures, validator BLS signatures, data availability, and ZK proof systems. Account abstraction (EIP-8141, under consideration for the Hegota fork) enables gradual user migration. The 2029 infrastructure target is a plan, not a commitment.
Solana: Anza and Firedancer independently converged on Falcon and built initial implementations, the Foundation published a phased readiness roadmap in April, and a Winternitz-based vault primitive has been live in the ecosystem for over two years. Network-wide PQ signatures are not.
Major Ethereum L2s still inherit Ethereum's timeline at the settlement layer. Starknet has the most concrete public plan: a three-phase PQ roadmap published in June, a first mainnet hash migration landing this month, and PQ wallets already deployable through native account abstraction. Its own roadmap concedes that bridge messaging and data availability wait on Ethereum. No L2 has deployed protocol-wide PQ transaction signatures by default.
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Bitcoin: two numbered BIPs now exist. BIP-360 (quantum-safer outputs, merged Feb 2026) and BIP-361 (a phased legacy-signature sunset, published April 2026). Both are drafts. Nothing is activated, and no migration design has network consensus.
Ethereum: a dedicated EF post-quantum team formed in January. Its public roadmap covers four surfaces: account signatures, validator BLS signatures, data availability, and ZK proof systems. Account abstraction (EIP-8141, under consideration for the Hegota fork) enables gradual user migration. The 2029 infrastructure target is a plan, not a commitment.
Solana: Anza and Firedancer independently converged on Falcon and built initial implementations, the Foundation published a phased readiness roadmap in April, and a Winternitz-based vault primitive has been live in the ecosystem for over two years. Network-wide PQ signatures are not.
Major Ethereum L2s still inherit Ethereum's timeline at the settlement layer. Starknet has the most concrete public plan: a three-phase PQ roadmap published in June, a first mainnet hash migration landing this month, and PQ wallets already deployable through native account abstraction. Its own roadmap concedes that bridge messaging and data availability wait on Ethereum. No L2 has deployed protocol-wide PQ transaction signatures by default.
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3 reasons optimization workloads are a better fit for decentralized compute than AI training is:
→ QUBO jobs are small, parallel, and stateless. No 10,000-GPU interconnect required.
→ The buyers already exist. Portfolio optimization and fleet routing are paid line items today.
→ Quantum annealers are natively built for this problem class. They are not built for backprop.
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→ QUBO jobs are small, parallel, and stateless. No 10,000-GPU interconnect required.
→ The buyers already exist. Portfolio optimization and fleet routing are paid line items today.
→ Quantum annealers are natively built for this problem class. They are not built for backprop.
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QMS Network Official
3 reasons optimization workloads are a better fit for decentralized compute than AI training is: → QUBO jobs are small, parallel, and stateless. No 10,000-GPU interconnect required. → The buyers already exist. Portfolio optimization and fleet routing are…
Everyone racing to sell decentralized GPUs is fighting hyperscalers on their strongest ground. We picked different ground.
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Q3 is our shipping quarter.
If you want testnet/launch updates first, the waitlist is still open: https://qms.finance/
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If you want testnet/launch updates first, the waitlist is still open: https://qms.finance/
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Meet the people building QMS.
Rasmus Kirk Jakobsen is our Cryptography Engineer.
He recently completed a master's degree in computer science from Aarhus University, specializing in SNARKs (succinct non-interactive arguments of knowledge) and formal software verification.
His thesis applied Halo2, a SNARK proving system, to proving correct execution in a blockchain setting — a practical use of zero-knowledge proof techniques with direct relevance to QMS' verification roadmap. He also holds a bachelor's degree in cryptography from the same institution.
Alongside his studies, he spent 3.5 years as a student software engineer at Concordium, working on smart contract tooling, SDK development in Rust, JavaScript, and .NET, and contributing to technical discussions on SNARK-based applications with the research team.
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Rasmus Kirk Jakobsen is our Cryptography Engineer.
He recently completed a master's degree in computer science from Aarhus University, specializing in SNARKs (succinct non-interactive arguments of knowledge) and formal software verification.
His thesis applied Halo2, a SNARK proving system, to proving correct execution in a blockchain setting — a practical use of zero-knowledge proof techniques with direct relevance to QMS' verification roadmap. He also holds a bachelor's degree in cryptography from the same institution.
Alongside his studies, he spent 3.5 years as a student software engineer at Concordium, working on smart contract tooling, SDK development in Rust, JavaScript, and .NET, and contributing to technical discussions on SNARK-based applications with the research team.
Original Tweet
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QMS Network Official
Meet the people building QMS. Rasmus Kirk Jakobsen is our Cryptography Engineer. He recently completed a master's degree in computer science from Aarhus University, specializing in SNARKs (succinct non-interactive arguments of knowledge) and formal software…
Fun fact about Rasmus:
"I roll my own crypto." 🙂
"I roll my own crypto." 🙂
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Two things often get confused:
1. Post-quantum security: classical algorithms designed to resist quantum attack.
2. Quantum computing: actual quantum hardware running quantum algorithms.
QMS is built for both, on different timelines:
At launch: block production uses no public-key cryptography, and finality uses post-quantum signatures. Miners run classical hardware on optimization workloads.
As quantum hardware matures: the same network is designed to integrate quantum miners on the optimization problems they're built to solve.
The network is built so the security model and the hardware model can evolve independently.
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1. Post-quantum security: classical algorithms designed to resist quantum attack.
2. Quantum computing: actual quantum hardware running quantum algorithms.
QMS is built for both, on different timelines:
At launch: block production uses no public-key cryptography, and finality uses post-quantum signatures. Miners run classical hardware on optimization workloads.
As quantum hardware matures: the same network is designed to integrate quantum miners on the optimization problems they're built to solve.
The network is built so the security model and the hardware model can evolve independently.
Original Tweet
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The mining evolution QMS is designed for:
Phase 1: classical miners, classical optimization workloads.
Phase 2: hybrid systems, quantum-assisted on specific problems.
Phase 3: native quantum miners, a new work-proof framework is in development with academic partners.
The network stays the same as the hardware and verification evolve together.
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Phase 1: classical miners, classical optimization workloads.
Phase 2: hybrid systems, quantum-assisted on specific problems.
Phase 3: native quantum miners, a new work-proof framework is in development with academic partners.
The network stays the same as the hardware and verification evolve together.
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This week, a preliminary quantum-algorithm claim put lattice cryptography under fresh scrutiny, while blockchains and infrastructure providers showed what post-quantum migration looks like in practice.
3 signals stood out:
1️⃣ New quantum result.
On 6 August, the Cryptology ePrint Archive posted a preprint from Daniel Simon, the AWS cryptographer behind Simon's algorithm. He claims a polynomial-time quantum algorithm for the Dihedral Coset Problem. That problem has sat under lattice cryptography for twenty years. Known reductions connect it to lattice problems and Learning With Errors, so if it falls, they weaken.
It has not been peer-reviewed, and no one has reproduced it yet. The result reaches high-noise LWE instances, not the parameters behind ML-KEM or ML-DSA. Nothing deployed is broken.
Those standards rest on a bet that these problems stay hard against quantum machines. Bets like that get revised. If a network can't swap a primitive when one breaks, it's stuck with the bet.
2️⃣ Sui and Bitcoin exposed two very different migration paths.
On 6 August, Sui announced plans to add lattice-based ML-DSA-65 for native accounts and hash-based SLH-DSA for high-value vaults. Users will be able to keep their recovery phrase and address, with vaults targeted for Mainnet in 2026 and native account authentication targeted for Q1 2027, subject to audits and Testnet feedback.
The same week, Blockstream Research published a survey of lattice signatures under Bitcoin’s constraints, including signature size, long-lived UTXOs, implementation complexity, and wallet derivation.
That's the design gap: crypto-agile networks can add new authorization paths, while retrofitting Bitcoin reaches across storage, wallets, and consensus.
3️⃣ Post-quantum standards moved closer to regulated and long-lived systems.
On 4 August, wolfSSL announced new PQC integration and evaluation paths covering ML-KEM, ML-DSA, and SLH-DSA, alongside Linux kernel, firmware TPM, secure networking, and satellite module work. Its satellite module is targeting FIPS 140-3 Level 3 validation; it is not yet Level 3 validated.
On 6 August, Oracle published a roadmap to bring ML-KEM, ML-DSA, and hybrid post-quantum TLS across supported Java LTS releases. The rollout is staged from JDK 25 in October 2026 through JDK 11 and 8 in the second half of 2027.
Standards become useful only when maintained runtimes, validated modules, and existing infrastructure can deploy them.
Original Tweet
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3 signals stood out:
1️⃣ New quantum result.
On 6 August, the Cryptology ePrint Archive posted a preprint from Daniel Simon, the AWS cryptographer behind Simon's algorithm. He claims a polynomial-time quantum algorithm for the Dihedral Coset Problem. That problem has sat under lattice cryptography for twenty years. Known reductions connect it to lattice problems and Learning With Errors, so if it falls, they weaken.
It has not been peer-reviewed, and no one has reproduced it yet. The result reaches high-noise LWE instances, not the parameters behind ML-KEM or ML-DSA. Nothing deployed is broken.
Those standards rest on a bet that these problems stay hard against quantum machines. Bets like that get revised. If a network can't swap a primitive when one breaks, it's stuck with the bet.
2️⃣ Sui and Bitcoin exposed two very different migration paths.
On 6 August, Sui announced plans to add lattice-based ML-DSA-65 for native accounts and hash-based SLH-DSA for high-value vaults. Users will be able to keep their recovery phrase and address, with vaults targeted for Mainnet in 2026 and native account authentication targeted for Q1 2027, subject to audits and Testnet feedback.
The same week, Blockstream Research published a survey of lattice signatures under Bitcoin’s constraints, including signature size, long-lived UTXOs, implementation complexity, and wallet derivation.
That's the design gap: crypto-agile networks can add new authorization paths, while retrofitting Bitcoin reaches across storage, wallets, and consensus.
3️⃣ Post-quantum standards moved closer to regulated and long-lived systems.
On 4 August, wolfSSL announced new PQC integration and evaluation paths covering ML-KEM, ML-DSA, and SLH-DSA, alongside Linux kernel, firmware TPM, secure networking, and satellite module work. Its satellite module is targeting FIPS 140-3 Level 3 validation; it is not yet Level 3 validated.
On 6 August, Oracle published a roadmap to bring ML-KEM, ML-DSA, and hybrid post-quantum TLS across supported Java LTS releases. The rollout is staged from JDK 25 in October 2026 through JDK 11 and 8 in the second half of 2027.
Standards become useful only when maintained runtimes, validated modules, and existing infrastructure can deploy them.
Original Tweet
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QMS Network Official
This week, a preliminary quantum-algorithm claim put lattice cryptography under fresh scrutiny, while blockchains and infrastructure providers showed what post-quantum migration looks like in practice. 3 signals stood out: 1️⃣ New quantum result. On 6 August…
The QMS takeaway:
QMS is built around this assumption: the next generation of blockchain infrastructure should be quantum-resistant by design, crypto-agile when assumptions change, and capable of turning network compute into useful work.
QMS is built around this assumption: the next generation of blockchain infrastructure should be quantum-resistant by design, crypto-agile when assumptions change, and capable of turning network compute into useful work.
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