Uber didn’t invent cars.

Airbnb didn’t invent houses.

They coordinated fragmented supply.

Compute may be heading in the same direction.

QMS explores what happens when a blockchain doesn’t just secure transactions, but also coordinates a global marketplace for productive computation.

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Introduction to QMS: The Architecture, Layer by Layer

Quantum-resistant blockchains come in three shapes: retrofit chains migrating off ECDSA, native post-quantum chains starting from a clean base, and quantum-native chains that build around hardware that doesn't fully exist yet.

QMS doesn't pick one. It pairs the genesis-clean security of a native PQ chain with the quantum-hardware openness of a quantum-native one — no legacy chain to migrate, and no waiting on quantum hardware to reach production scale before the network can run.

The core idea: mining stops being wasted hashing and becomes paid computing. Miners solve real optimization problems enterprise clients pay for, and the same work secures the chain — two revenue streams from one computation.

This article covers:
→ Why QMS doesn't fit the standard retrofit / native-PQ / quantum-native categories
→ How Proof-of-Useful-Work turns mining into a decentralized compute marketplace
→ Why quantum hardware can join the miner network with zero protocol changes
→ How execution stays EVM-compatible while finality is post-quantum from day one

Every layer QMS builds itself — consensus and finality — is quantum-resistant at launch. The execution layer stays EVM-compatible so existing wallets and tooling work immediately, with a path to post-quantum account signatures over time.

Read the full piece here: https://qms.finance/news/introduction-to-qms-the-architecture-layer-by-layer

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QMS explores a different model than most blockchain networks.

Commercial demand → stronger miner incentives → a stronger network → more commercial demand.

That’s the flywheel QMS is designed to build.

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3 architectural pieces define how QMS is built:

• Post-quantum is where QMS builds.

The two layers QMS builds itself, consensus and finality, are post-quantum secure from day one. The execution layer is taken from Ethereum, so account signatures start standard and move to post-quantum on the roadmap.

• A miner network built for quantum hardware.

Same design intent as a quantum-native chain, but QMS does not need quantum hardware to exist at scale before the network can launch.

• Proof-of-Useful-Work consensus.

Turns mining into paid compute for enterprise clients, rather than spending it on hashing that secures the chain and nothing else.

The result is a chain that is quantum-resistant today and quantum-productive tomorrow.

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Portfolio allocation. Truck routing. Shift scheduling.

Underneath, it's all the same math problem: QUBO (quadratic unconstrained binary optimization). Yes or no decisions. A cost on each choice, plus costs from how choices interact. Find the combination with the lowest total.

At 50 variables you're already past a quadrillion combinations. At 300, they outnumber atoms in the universe. No computer can check them all.

This is the problem QMS miners get paid to solve.

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Read more in our article here 👆

This week’s theme is compression.

Post-quantum timelines moved closer. Bitcoin’s retrofit path got more concrete. Compute demand ran into the grid.

3 signals stood out:

1️⃣ Microsoft accelerated its quantum-safe roadmap.

Microsoft is now targeting a transition of products and services to post-quantum cryptography by 2029, pulling forward the broader transition target from its earlier 2033 full-transition plan. The move came shortly after Washington issued new guidance for federal PQC migration, with agencies directed to prioritize high-impact systems, high-value assets, and sensitive systems for risk reduction by the end of 2030.

The roadmap spans TLS 1.3, crypto-agility, key management, code signing, certificate issuance, key protection, and update pipelines. At Microsoft’s scale, this is a system-wide engineering program.

For enterprises still treating PQC as a distant migration, the planning window just got tighter.

2️⃣ Bitcoin’s post-quantum work reached the proposal layer.

Blockstream’s Q2 update introduced OP_CHECKSHRINCS, a proposed post-quantum signature opcode for Bitcoin based on a hash-based scheme. The proposal builds on earlier post-quantum signature work demonstrated on Liquid, moving the conversation from sidechain deployment toward something the wider Bitcoin community can evaluate.

That is what retrofit work looks like in practice: research, production-sidechain testing, opcode proposals, ecosystem review, and eventual migration.

The code may be the cleanest part, moving a live network without breaking trust is the real work.

3️⃣ The US grid put compute on a shorter leash.

During the East Coast heatwave, the U.S. Department of ENERGY authorized PJM, the largest US grid operator, to direct backup generation resources at data centers and other large-load customers as a last resort before or during an Energy Emergency Alert 3.

PJM also ordered emergency electricity-reduction measures as demand approached its 20-year record, while spot wholesale prices in parts of the Mid-Atlantic and Dominion zones surged past $2,500 per megawatt-hour. Reuters also reported that data center demand accounted for an estimated $3.8B of PJM’s year-over-year wholesale power cost increase in the first five months of 2026.

Compute is becoming part of real-time grid management. Power, cooling, location, backup generation, and demand response now sit inside the compute stack.

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The QMS takeaway:

Deadlines are compressing. Live networks are showing how slow retrofits can be. Compute is becoming a constrained infrastructure layer.

Next-generation blockchain infrastructure should be quantum-resistant by design and should turn network compute into useful work instead of pure overhead.

That is the direction we're building toward.

Reminder: please make sure you only follow and use QMS’s official channels.

Starting next week, we’ll also begin introducing members of our core tech team. 💪

X: https://x.com/QMSNetwork
Telegram: @QMSNetworkOfficial
Website: https://qms.finance
LinkedIn: https://linkedin.com/company/qms-network
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Docs: https://docs.qms.finance

2 revenue streams, 4 stakeholders.

QMS is a decentralized marketplace for compute: the chain matches demand for optimization work with a global pool of solvers.

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QMS is both a quantum-resistant blockchain and a marketplace for quantum computing, with native settlement built in.

Quantum-resistant today, quantum-productive tomorrow.

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Miners, developers, clients, and investors are already paying attention.

Over 5,100 people have joined the QMS waitlist. Thank you to everyone who got in early.

If you haven’t yet, sign up here and help spread the word: https://qms.finance/#waitlist

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We’ve seen a lot of questions about when QMS will open Discord.

For now, the team is focused on building toward testnet.

The best way to stay close:
✔︎ Follow our X
✔︎ Join our Telegram
✔︎ Sign up for the waitlist

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Companies spend billions on computation.

QMS starts with workloads that are suited to decentralized competition:

• backed by real-world demand
• solvable by independent participants
• objectively and efficiently verifiable

The goal is an economic flywheel where demand for useful computation strengthens miner incentives and contributes to network security.

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QUBO maps naturally to quantum hardware: quantum annealers and QAOA (the Quantum Approximate Optimization Algorithm) both search for low-energy solutions to the same optimization problems QMS clients submit.

That gives quantum miners two paths into QMS:

Hybrid, available at launch: quantum hardware finds a strong starting point, then a classical seeded search performs the replayable, verifiable work. No protocol change. Every valid miner remains eligible for the block reward lottery, while solutions meeting the client's criteria earn client payments. Quantum miners that meet those criteria more often earn more.

Native, longer term: a quantum machine runs the full search. Because quantum solvers return samples rather than a replayable path, proving the work was not pre-computed requires a different mechanism. We're developing this with academic partners.

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Hashing gave PoW something incredibly valuable: cheap verification.

PoUW asks a much harder question: can useful computation be just as easy to verify?

If the answer is yes, network security no longer has to be funded by block rewards alone.

It can also be reinforced by real demand for computation.

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This week’s theme is convergence.

Hardware development and protocol migration now operate on the same timeline. Building the machine and preparing for the machine have become parallel engineering efforts.

2 signals stood out:

1️⃣ A $300 million bet on running Shor at cryptographic scale with 10,000 qubits.

Oratomic closed a $300M Series A. The Caltech-linked startup was founded by the researchers behind March’s paper showing that Shor’s algorithm could run at cryptographically relevant scales with as few as 10,000 reconfigurable atomic qubits.

The team has already trapped arrays of more than 6,000 neutral atoms. Running fault-tolerant computation at that scale remains the key challenge to prove, and Oratomic is targeting a working utility-scale machine by the end of the decade. The round converts a resource estimate on paper into a well-funded engineering program.

2️⃣ Ethereum put quantum migration on its engineering roadmap.

On July 6, Vitalik Buterin published The Extremely Lean Chain, a research proposal for redesigning Ethereum’s consensus layer. It builds on the broader Lean Ethereum roadmap, which plans post-quantum cryptography upgrades across the consensus, execution, and data layers, with core L1 post-quantum infrastructure targeted around 2029.

Ethereum has shifted quantum resistance from a research topic to a multi-year engineering effort. Retrofitting new cryptography into a live protocol carrying hundreds of billions of dollars in value requires coordinated upgrades across validators, wallets, clients, and infrastructure. That is exactly why the work starts years before quantum computers arrive.

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The hardest part of PoUW is making real-world optimization compatible with consensus.

Bitcoin solves this with hashes that are cheap to verify.

QMS replaces arbitrary hashing with commercially valuable optimization problems while keeping computational work at the heart of consensus.

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We received some really good questions from you, and here’s our CTO Christopher Portmann’s reply, ICYMI:

1️⃣ Q: I haven't quite figured out yet whether the testnet network prioritizes GPU or CPU?

Chris: The first version will be CPUs. Once we can better gauge demand and the computational power needed to meet it, we can optimise the code for GPUs.

Note that our first version will also allow for hybrid quantum-classical miners, where part of the computation is done on a QPU. Admittedly, at the moment these still cost more and produce less, but the design is ready for the next frontier in computing.

2️⃣ Q: As quantum solvers join the network, what’s your current thinking on proof-of-work verification for quantum outputs since they don’t produce a replayable classical path? Are you exploring ZK-based approaches here?

Chris: That’s a brilliant question. The short answer is no, we are exploring the use of hash-based (ZK-)SNARKs for improving verification in the classical case. But for the quantum case, something else is needed.

ZK-proofs are often designed to be short and efficient to verify, so they can be used to shift the burden from the verifiers to the prover (that is what zk-rollups do). They also provide the ZK-property, which in the context of computation verification, could allow a miner to prove that they have done the correct computation without revealing what computation that is (e.g., to preserve confidentiality of the client’s data). So they can be used to improve proofs, but they can’t be used to come up with proofs in a setting where we don’t already know how to generate (large, non-zk) proofs.

In the quantum case, we can verify that the output is correct, but what we don’t yet know how to do, is for a quantum miner to prove that they haven’t pre-computed the output (e.g., they learned about the input before other miners, and get an advantage which doesn’t correspond to their computational power). Classical replayable paths solve the problem, because in the classical case the miners are forced to follow a path that depends on the hash of the last block, so we just need to verify that they did take that path. We are working with academic partners on solving the quantum case.

3️⃣ Q: Will QMS network allow users to migrate from current wallet addresses to quantum-safe ones?

Chris: As soon as Ethereum pushes the account abstraction feature that we need, we will be able to implement this.

Since Ethereum’s roadmap for a post-quantum (PQ) consensus will take years, we are implementing PQ-consensus ourselves. But the account abstraction features needed to migrate current addresses to quantum safe ones should be released with the Ethereum Hegotá update at the end of the year (hopefully). And since we do not want to reinvent the wheel, we will wait for that and base our PQ-addresses on it.

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As always, share your technical questions with us, and we’ll provide thoughtful and truthful replies.

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Website: https://qms.finance
LinkedIn: https://linkedin.com/company/qms-network
Medium: https://medium.com/@QMSNetwork

"What if mining had two “customers” instead of one?

Today, miners are paid by the network. QMS adds another source of demand: commercial optimization problems.

The same computation helps secure the chain while producing something businesses already pay for.

One computation. Two revenue streams.

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