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.
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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.
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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.
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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.
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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.
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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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Electricity powered the 20th-century economy.
The internet powers the 21st.
The next layer is compute you can buy without trusting the seller: verifiable, priced, accessible.
Blockchain's contribution is the rails, and the compute comes from the miners.
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The internet powers the 21st.
The next layer is compute you can buy without trusting the seller: verifiable, priced, accessible.
Blockchain's contribution is the rails, and the compute comes from the miners.
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What Real-World Problems Can QMS Solve?
Every business runs hard decisions on repeat. Which assets to hold, where to place collateral, which stops each truck covers, who works which shift. Too many combinations to check by hand, and every pick changes how good the rest are.
These are optimization problems, and enterprises already pay optimization vendors to handle them. QMS turns that into a marketplace. A client posts the problem, sets what a good answer is worth, and locks the reward. Every solution that meets the criteria gets paid — miners get their second income stream, and clients only pay for answers they can actually use.
The launch problem class, QUBO, is the same format quantum annealers and QAOA machines were built to read. Classical solvers do the work today. Quantum hardware competes for the same payments as it improves, with nothing in the protocol needing to change.
This article covers:
→ The everyday business decisions that fit the QMS marketplace — portfolio, collateral, routing, scheduling, resource assignment
→ Why QUBO is the launch problem class — one format that covers all 21 of Karp's NP-complete problems
→ The client workflow in six parts — how a portfolio job goes from filled-in form to on-chain settlement
→ The six tests a use case has to clear before a hard decision can be bought and sold as computing work
Portfolio optimization clears all six. So do routing and scheduling. Demand for exactly this kind of search is already growing — D-Wave's annealing systems saw 314% YoY usage growth in 2026, across 100+ organizations in industry, government, and research.
Read the full piece here: https://qms.finance/news/what-real-world-problems-can-qms-solve
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Every business runs hard decisions on repeat. Which assets to hold, where to place collateral, which stops each truck covers, who works which shift. Too many combinations to check by hand, and every pick changes how good the rest are.
These are optimization problems, and enterprises already pay optimization vendors to handle them. QMS turns that into a marketplace. A client posts the problem, sets what a good answer is worth, and locks the reward. Every solution that meets the criteria gets paid — miners get their second income stream, and clients only pay for answers they can actually use.
The launch problem class, QUBO, is the same format quantum annealers and QAOA machines were built to read. Classical solvers do the work today. Quantum hardware competes for the same payments as it improves, with nothing in the protocol needing to change.
This article covers:
→ The everyday business decisions that fit the QMS marketplace — portfolio, collateral, routing, scheduling, resource assignment
→ Why QUBO is the launch problem class — one format that covers all 21 of Karp's NP-complete problems
→ The client workflow in six parts — how a portfolio job goes from filled-in form to on-chain settlement
→ The six tests a use case has to clear before a hard decision can be bought and sold as computing work
Portfolio optimization clears all six. So do routing and scheduling. Demand for exactly this kind of search is already growing — D-Wave's annealing systems saw 314% YoY usage growth in 2026, across 100+ organizations in industry, government, and research.
Read the full piece here: https://qms.finance/news/what-real-world-problems-can-qms-solve
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QMS Network Official
What Real-World Problems Can QMS Solve? Every business runs hard decisions on repeat. Which assets to hold, where to place collateral, which stops each truck covers, who works which shift. Too many combinations to check by hand, and every pick changes how…
Picking 8 tokens out of 60 sounds simple, but it isn't, because there are over 2 billion ways to do it, and every pick changes how risky the others are.
QMS pays miners to run that search: the fund sets the bar, and the chain pays whoever clears it. This is just one example, full piece here 👆
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QMS pays miners to run that search: the fund sets the bar, and the chain pays whoever clears it. This is just one example, full piece here 👆
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Blockchains have spent 17yrs coordinating value: tokens, money, settlement, ownership.
Compute markets have spent 20yrs coordinating work: pricing CPUs, scheduling jobs, routing capacity. Mostly inside a handful of clouds.
The convergence happens when computation itself becomes a thing that can be priced, proven, settled, and paid for on-chain. Three of those four exist today: onchain markets already price, settle, and pay for compute. Almost entirely capacity. Rent the machine, trust what comes back.
The missing verb is proven. Verification cheap enough to settle against the result, not the rental. Close that gap and "decentralized cloud" stops being a marketing phrase and becomes a market with the same shape as DeFi.
That's the bet behind QMS. The same work that secures the chain can be sold to clients: one computation, both jobs.
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Compute markets have spent 20yrs coordinating work: pricing CPUs, scheduling jobs, routing capacity. Mostly inside a handful of clouds.
The convergence happens when computation itself becomes a thing that can be priced, proven, settled, and paid for on-chain. Three of those four exist today: onchain markets already price, settle, and pay for compute. Almost entirely capacity. Rent the machine, trust what comes back.
The missing verb is proven. Verification cheap enough to settle against the result, not the rental. Close that gap and "decentralized cloud" stops being a marketing phrase and becomes a market with the same shape as DeFi.
That's the bet behind QMS. The same work that secures the chain can be sold to clients: one computation, both jobs.
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Meet the people building QMS.
Alessio Onori is our Lead Site Reliability Engineer.
He brings over seven years of experience managing production infrastructure end to end, with particular expertise in blockchain systems. He holds a bachelor’s degree in computer engineering and a postgraduate master’s in cybersecurity from the University of Bologna, as well as a master’s degree in computer science and engineering from the Polytechnic University of Milan.
At Swisscom Blockchain, Alessio built a custom Kubernetes operator and automation tooling for networks including Polkadot, Bitcoin, and Ethereum. He then spent five years at the Web3 Foundation, where he managed production Kubernetes infrastructure across multiple cloud providers, supporting blockchain RPC and validator nodes alongside core platform services.
During that time, he introduced GitOps-based CI/CD practices and reusable infrastructure-as-code modules, strengthened disaster recovery processes, and formalized production-readiness standards across the organization.
Alessio joined QMS Network in June 2026. He leads the infrastructure and observability underpinning the network, from node operations and platform reliability to monitoring and incident response.
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Alessio Onori is our Lead Site Reliability Engineer.
He brings over seven years of experience managing production infrastructure end to end, with particular expertise in blockchain systems. He holds a bachelor’s degree in computer engineering and a postgraduate master’s in cybersecurity from the University of Bologna, as well as a master’s degree in computer science and engineering from the Polytechnic University of Milan.
At Swisscom Blockchain, Alessio built a custom Kubernetes operator and automation tooling for networks including Polkadot, Bitcoin, and Ethereum. He then spent five years at the Web3 Foundation, where he managed production Kubernetes infrastructure across multiple cloud providers, supporting blockchain RPC and validator nodes alongside core platform services.
During that time, he introduced GitOps-based CI/CD practices and reusable infrastructure-as-code modules, strengthened disaster recovery processes, and formalized production-readiness standards across the organization.
Alessio joined QMS Network in June 2026. He leads the infrastructure and observability underpinning the network, from node operations and platform reliability to monitoring and incident response.
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QMS Network Official
Meet the people building QMS. Alessio Onori is our Lead Site Reliability Engineer. He brings over seven years of experience managing production infrastructure end to end, with particular expertise in blockchain systems. He holds a bachelor’s degree in computer…
Alessio is also a foodie! His fun fact: “I often choose where to travel next based on what I want to eat.”
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In late May we wrote about Q-Day.
Since then: resource estimates for breaking secp256k1 already sit far below older models. Federal PQC deadlines hardened. Regulated finance kept migrating under multi-year plans. Live chains are still early on multi-year retrofits across wallets, validators, bridges, and dormant keys.
The open question is how much runway is left and how hard migration gets on a live network.
QMS is built on the cleaner path: quantum-resistant by design, with useful work that turns quantum hardware into an asset for the network.
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Since then: resource estimates for breaking secp256k1 already sit far below older models. Federal PQC deadlines hardened. Regulated finance kept migrating under multi-year plans. Live chains are still early on multi-year retrofits across wallets, validators, bridges, and dormant keys.
The open question is how much runway is left and how hard migration gets on a live network.
QMS is built on the cleaner path: quantum-resistant by design, with useful work that turns quantum hardware into an asset for the network.
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