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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β€3π₯3
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 β 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:
β The everyday business decisions that fit the QMS marketplace β portfolio, collateral, routing, scheduling, resource assignment
β Why QUBO is the launch problem class β one format that covers all 21 of Karp's NP-complete problems
β The client workflow in six parts β how a portfolio job goes from filled-in form to on-chain settlement
β 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 β 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 β 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:
β The everyday business decisions that fit the QMS marketplace β portfolio, collateral, routing, scheduling, resource assignment
β Why QUBO is the launch problem class β one format that covers all 21 of Karp's NP-complete problems
β The client workflow in six parts β how a portfolio job goes from filled-in form to on-chain settlement
β 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 β 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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β€3π€3π₯2
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 howβ¦
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 π
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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 π
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π2
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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β€βπ₯3
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 bachelorβs degree in computer engineering and a postgraduate masterβs in cybersecurity from the University of Bologna, as well as a masterβs 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 bachelorβs degree in computer engineering and a postgraduate masterβs in cybersecurity from the University of Bologna, as well as a masterβs 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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β€2
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 bachelorβs degree in computerβ¦
Alessio is also a foodie! His fun fact: βI often choose where to travel next based on what I want to eat.β
π2
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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π3
2026: Year One.
βββββ We're getting the engine started.
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βββββ We're getting the engine started.
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π3
Hard to solve but cheap to check is the whole game for open compute markets.
If finding the answer takes real work, and verifying it is cheap, payment can follow the result instead of the sellerβs claim.
Thatβs the market PoUW (Proof of Useful Work) can actually run on.
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If finding the answer takes real work, and verifying it is cheap, payment can follow the result instead of the sellerβs claim.
Thatβs the market PoUW (Proof of Useful Work) can actually run on.
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π4
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This week, researchers formally showed that a much-discussed quantum algorithm does not work as claimed. Separately, Justin Drake said the Ethereum Foundation is moving L1 away from Poseidon toward SHA or BLAKE:
1οΈβ£ A proposed quantum shortcut for a hard lattice-related problem does not work.
Earlier this month, Daniel Simon proposed a quantum algorithm that he said could efficiently solve the Dihedral Coset Problem. Because that problem is connected to hard lattice problems through a known mathematical reduction, a working algorithm could have challenged security assumptions behind lattice-based cryptography.
On Aug 15, Aparna Gupte (MIT), Seyoon Ragavan (Google/MIT), and Mark Zhandry (Google/Stanford) posted IACR ePrint 2026/1693.
They show that Simonβs algorithm cannot reliably recover the secret bit it needs. Their result also covers a broader class of related approaches that discard too much information during the computation. The authors released a Lean 4 formalization alongside the paper.
2οΈβ£ Ethereumβs post-quantum direction is changing, but the implementation is not settled.
On Aug 13, Justin Drake said the Ethereum Foundation is abandoning Poseidon for L1 and pivoting to SHA or BLAKE. In practical terms, EF researchers are moving away from a hash designed for efficient zero-knowledge proofs toward more established conventional hashes.
At ACDE #243 that day, EIP-8355 was presented for possible inclusion in HegotΓ‘. It would give smart contracts a built-in way to verify ML-DSA, a standardized post-quantum signature scheme. The draft and its proposed addition to HegotΓ‘βs official candidate list are still open.
Developers also have not settled how to bring features such as key rotation and alternative signature schemes directly into Ethereum accounts. Frames, proposed in EIP-8141, is the current placeholder being considered for HegotΓ‘. EIP-8130 has been raised as an alternative that could work across existing EVM chains without requiring the same protocol changes.
The direction is becoming clearer, but none of these changes has been finalized or shipped.
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1οΈβ£ A proposed quantum shortcut for a hard lattice-related problem does not work.
Earlier this month, Daniel Simon proposed a quantum algorithm that he said could efficiently solve the Dihedral Coset Problem. Because that problem is connected to hard lattice problems through a known mathematical reduction, a working algorithm could have challenged security assumptions behind lattice-based cryptography.
On Aug 15, Aparna Gupte (MIT), Seyoon Ragavan (Google/MIT), and Mark Zhandry (Google/Stanford) posted IACR ePrint 2026/1693.
They show that Simonβs algorithm cannot reliably recover the secret bit it needs. Their result also covers a broader class of related approaches that discard too much information during the computation. The authors released a Lean 4 formalization alongside the paper.
2οΈβ£ Ethereumβs post-quantum direction is changing, but the implementation is not settled.
On Aug 13, Justin Drake said the Ethereum Foundation is abandoning Poseidon for L1 and pivoting to SHA or BLAKE. In practical terms, EF researchers are moving away from a hash designed for efficient zero-knowledge proofs toward more established conventional hashes.
At ACDE #243 that day, EIP-8355 was presented for possible inclusion in HegotΓ‘. It would give smart contracts a built-in way to verify ML-DSA, a standardized post-quantum signature scheme. The draft and its proposed addition to HegotΓ‘βs official candidate list are still open.
Developers also have not settled how to bring features such as key rotation and alternative signature schemes directly into Ethereum accounts. Frames, proposed in EIP-8141, is the current placeholder being considered for HegotΓ‘. EIP-8130 has been raised as an alternative that could work across existing EVM chains without requiring the same protocol changes.
The direction is becoming clearer, but none of these changes has been finalized or shipped.
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π4π₯3
The bigger opportunity in decentralized compute is a market for answers.
A client should be able to post an optimization problem, define a qualifying result and pay whoever finds one, without choosing a provider first.
That is the market QMS is designed to build.
Miners run the solvers. The protocol verifies the work. Payment follows a qualifying solution. The same solver run also gives the miner chances to produce a block.
Useful computation becomes something an open network can price, verify and settle.
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A client should be able to post an optimization problem, define a qualifying result and pay whoever finds one, without choosing a provider first.
That is the market QMS is designed to build.
Miners run the solvers. The protocol verifies the work. Payment follows a qualifying solution. The same solver run also gives the miner chances to produce a block.
Useful computation becomes something an open network can price, verify and settle.
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π₯5π2
AI has made compute capacity a strategic bottleneck. Microsoft expects its infrastructure to remain constrained through 2026 even as it adds more GPU, CPU and storage capacity.
More supply matters, so does choosing the right work.
QMS is built for optimization jobs where public verification and onchain settlement add value: constrained portfolios, combinatorial auctions and other problems with objective scoring. The buyer gets a result the market can check and settle against.
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More supply matters, so does choosing the right work.
QMS is built for optimization jobs where public verification and onchain settlement add value: constrained portfolios, combinatorial auctions and other problems with objective scoring. The buyer gets a result the market can check and settle against.
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β€4
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Teamβs cooking. Looking forward to next week.
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Teamβs cooking. Looking forward to next week.
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β€4β‘2π₯2
QMS is designed to turn useful optimization into the work that secures the network.
The same solver run can compete for a block and produce a result a client is willing to pay for.
One computation creates two revenue paths and links miner incentives to commercial demand.
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The same solver run can compete for a block and produce a result a client is willing to pay for.
One computation creates two revenue paths and links miner incentives to commercial demand.
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β€3
Decentralized compute already contains several distinct markets.
> Akash leases general-purpose cloud resources.
> Render coordinates distributed GPU rendering.
> ionet offers on-demand decentralized GPU clusters.
> Filecoin and Arweave focus on storage.
QMS is designed around optimization results. Its miners run randomized solvers as part of consensus. In the target model, the same run can create a block opportunity and earn a client payment for a qualifying solution.
It puts commercial demand directly inside the miner economy.
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> Akash leases general-purpose cloud resources.
> Render coordinates distributed GPU rendering.
> ionet offers on-demand decentralized GPU clusters.
> Filecoin and Arweave focus on storage.
QMS is designed around optimization results. Its miners run randomized solvers as part of consensus. In the target model, the same run can create a block opportunity and earn a client payment for a qualifying solution.
It puts commercial demand directly inside the miner economy.
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β€5
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Two post-quantum updates came out last week, and they highlight two very different parts of the migration.
Blockstream ran experimental SLH-DSA code on a Jade Plus, Trezor Safe 3, Ledger Nano Gen5/S+ and BitBox02 Nova. All four produced signatures. The average time was ~52 seconds on Jade and 120 seconds on Ledger.
That shows existing hardware wallets can generate hash-based post-quantum signatures. It does not mean the implementations are ready for real funds. Key management, wallet integration, firmware verification and performance still need work.
The same day, EIP-8384 was submitted as a proposed draft through an open GitHub pull request.
Ethereum currently selects sync committee aggregators by hashing a BLS signature. This works because BLS signatures are unique, so validators cannot keep generating new signatures until one gets selected.
leanSig, the hash-based scheme being developed for Ethereumβs post-quantum consensus work, allows multiple valid signatures for the same message. A validator could exploit that by trying different signatures until it selects itself.
EIP-8384 proposes choosing aggregators deterministically from beacon state instead. If adopted, the change would require a consensus hard fork.
Generating a post-quantum signature is only part of the job. The harder task is finding every place where the protocol relied on properties of the old signature scheme.
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Blockstream ran experimental SLH-DSA code on a Jade Plus, Trezor Safe 3, Ledger Nano Gen5/S+ and BitBox02 Nova. All four produced signatures. The average time was ~52 seconds on Jade and 120 seconds on Ledger.
That shows existing hardware wallets can generate hash-based post-quantum signatures. It does not mean the implementations are ready for real funds. Key management, wallet integration, firmware verification and performance still need work.
The same day, EIP-8384 was submitted as a proposed draft through an open GitHub pull request.
Ethereum currently selects sync committee aggregators by hashing a BLS signature. This works because BLS signatures are unique, so validators cannot keep generating new signatures until one gets selected.
leanSig, the hash-based scheme being developed for Ethereumβs post-quantum consensus work, allows multiple valid signatures for the same message. A validator could exploit that by trying different signatures until it selects itself.
EIP-8384 proposes choosing aggregators deterministically from beacon state instead. If adopted, the change would require a consensus hard fork.
Generating a post-quantum signature is only part of the job. The harder task is finding every place where the protocol relied on properties of the old signature scheme.
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β€3
Ethereum's Post-Quantum Migration Will Take a Decade. QMS Starts With Two Layers Settled
Ethereum is the most detailed chain in the industry on post-quantum migration β a dedicated team, around ten client teams building to spec, a $20M three-year formal verification effort, and a target of ~2029 just for the core protocol, before anything above it moves.
The reason isn't the algorithms. Those are standardized. The years go into everything a chain doesn't control β wallets, custody, bridges, tooling. And the replacement signatures are 30x bigger: BLS is 96 bytes; leanXMSS is 3,112. BLS aggregation has no post-quantum equivalent, so it has to be rebuilt from proofs. That's a protocol fork before a single account has moved.
This article covers:
β The four places elliptic-curve cryptography sits on a chain β and why a hard fork only reaches half of them
β Why post-quantum signatures are 30x bigger, and what that costs
β Ethereum's four post-quantum hard forks in sequence, and the $20M verification running alongside
β What QMS chose differently β consensus with no signatures, finality post-quantum from launch, and a defined recovery path for accounts nobody upgrades
QMS builds two of its three layers, and both ship post-quantum from day one. Execution keeps Ethereum's signature scheme, so every wallet and tool works today. Ethereum is doing the harder version of this work because it has an installed base worth protecting β QMS aims at that same position, with the cryptography already settled underneath.
Read the full piece here: https://qms.finance/news/ethereums-post-quantum-migration-will-take-a-decade-qms-starts-with-two-layers-settled
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Ethereum is the most detailed chain in the industry on post-quantum migration β a dedicated team, around ten client teams building to spec, a $20M three-year formal verification effort, and a target of ~2029 just for the core protocol, before anything above it moves.
The reason isn't the algorithms. Those are standardized. The years go into everything a chain doesn't control β wallets, custody, bridges, tooling. And the replacement signatures are 30x bigger: BLS is 96 bytes; leanXMSS is 3,112. BLS aggregation has no post-quantum equivalent, so it has to be rebuilt from proofs. That's a protocol fork before a single account has moved.
This article covers:
β The four places elliptic-curve cryptography sits on a chain β and why a hard fork only reaches half of them
β Why post-quantum signatures are 30x bigger, and what that costs
β Ethereum's four post-quantum hard forks in sequence, and the $20M verification running alongside
β What QMS chose differently β consensus with no signatures, finality post-quantum from launch, and a defined recovery path for accounts nobody upgrades
QMS builds two of its three layers, and both ship post-quantum from day one. Execution keeps Ethereum's signature scheme, so every wallet and tool works today. Ethereum is doing the harder version of this work because it has an installed base worth protecting β QMS aims at that same position, with the cryptography already settled underneath.
Read the full piece here: https://qms.finance/news/ethereums-post-quantum-migration-will-take-a-decade-qms-starts-with-two-layers-settled
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β€4
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Before QMS produces its first block, prove you were here.
We're building a Layer 1 for the post-quantum era.
The Quantum Early Access Pass is now live.
Claim yours for beta testnet access and share it on X: https://qms.finance/#waitlist
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We're building a Layer 1 for the post-quantum era.
The Quantum Early Access Pass is now live.
Claim yours for beta testnet access and share it on X: https://qms.finance/#waitlist
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β€11π₯5π4
QMS Network Official
Before QMS produces its first block, prove you were here. We're building a Layer 1 for the post-quantum era. The Quantum Early Access Pass is now live. Claim yours for beta testnet access and share it on X: https://qms.finance/#waitlist Original Tweetβ¦
You do NOT need to connect a wallet to claim your Quantum Early Access Pass.
Please use only the official QMS link and stay safe.
Please use only the official QMS link and stay safe.
π11
1,500 of you have claimed a Quantum Early Access Pass.
We see you. Thank you for showing up this early.
You got the card. Stay tuned for a special Discord role.
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We see you. Thank you for showing up this early.
You got the card. Stay tuned for a special Discord role.
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π₯22
Claimed a Quantum Early Access Pass but still not sure what QMS actually is? Thatβs understandable.
We're building a blockchain for the quantum era, with a quantum-resistant core and a mining system designed to solve real-world problems.
The next posts are the perfect place to start getting to know QMS -
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We're building a blockchain for the quantum era, with a quantum-resistant core and a mining system designed to solve real-world problems.
The next posts are the perfect place to start getting to know QMS -
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β€13