QAISS is building a neutral quantum-AI coordination layer. Follow the public roadmap and verify every claim.

$QAISS · Quantum AI Security Systems

QAISSon Solana.

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The community token of QAISS, an open platform where quantum results prove themselves. Fixed supply of 822.8M; mint and freeze authority renounced on-chain.

Get QAISS on Jupiter Swap on Raydium Live chart

Mint qAiSsY…x5SR6f · How to get QAISS safely · The platform

High risk · one small pool · not investment advice · marketing communication not reviewed or approved by any EU authority

The idea

Most practical quantum work today is hybrid. QAISS is building a neutral layer to validate a workload once, run it wherever access is authorized, and measure the result honestly — against a classical baseline, every time.

Status, not promises

What exists today

Every badge links to its evidence. If something isn’t live, we say so. Last reviewed .

Live

Token

Public Solana token. Mint and freeze authorities verified renounced on-chain.

EvidenceExternal dependency

Market data

Live data sourced from an external market-data provider.

EvidenceLive

In-browser simulation lab

A real classical state-vector simulator that exports Workload Passports. Runs on your device; not quantum hardware.

EvidenceExternal dependency

Quantum hardware access

Origin Quantum Cloud adapter written; it needs an account and API key. No QPU run yet — an open bounty asks for the first one.

EvidencePrototype

Passport registry

Merkle batching and Solana memo anchoring work; the first batch is prepared, not yet anchored.

EvidenceLive

Quantum challenges

Ten exact-checked puzzles with re-checkable proofs, in your browser.

EvidencePrototype

Reproduction bounties

Open requests for GPU and QPU runs, verified automatically. Rewards are credentials only.

EvidencePrototype

GPU simulation connector

cuStateVec and cuTensorNet backends written; CPU state-vector and tensor-network references match the browser bit-for-bit. Not yet run on an NVIDIA GPU.

EvidencePrototype

Origin Quantum connector

pyqpanda3 CPUQVM backend reproduces the browser bit-for-bit; OriginIR / OpenQASM export live in the Lab. Cloud and QPU adapter written but untested: it needs an Origin API key and account access.

EvidenceNot claimed

Production quantum advantage

Not claimed. QAISS will measure value, not assume it.

Evidence

The problem

Quantum computing is powerful. The workflow is fragmented.

QAISS has not solved these problems. The platform is designed to address them progressively — and to publish evidence at each step.

01

Fragmented interfaces

Different hardware and simulators expose different interfaces, SDKs, and gate sets.

02

Hybrid by necessity

Quantum jobs often depend on classical preprocessing, optimization, and postprocessing.

03

Hard-to-compare results

Benchmark results are difficult to compare across backends, precisions, and noise models.

04

A steep path to rigor

New users struggle to move from education and simulation to reproducible experiments.

Superposition, visible

Amplitudes add.
Probabilities interfere.

The core idea behind every quantum algorithm is interference: paths that cancel, paths that reinforce. Steer a wave source and watch the pattern rearrange in real time.

Live wave superposition: amplitudes add, intensity is their squared magnitude. Move your pointer to steer a source · click to pin it. A classical wave model of the interference behind quantum amplitudes — not a quantum computation.

Workload Passport · specification draft

One workload in.
One fingerprint out.

  • Measurable: SHA-256 output hash of the bell Lab run, 0f4333419a1da9091b68473e7e3cab48cb5a654015e420cc0cc90ba5ea749a38
  • Portable: SHA-256 output hash of the ghz Lab run, 61f7e8a04335409b78d508535d456ffffc700410fcdb7ee5982346450ef8d690
  • Reproducible: SHA-256 output hash of the uniform Lab run, 8d4c7e11fc7562ff5da70d0d96e1ce02526bdf39912e248388c0beab256526e9
  • Verifiable: SHA-256 output hash of the grover Lab run, e0d209cff08a475d520f9aafceb403429af8631e9a05694e8a6f622dedef9daa

An open manifest travels with every workload — circuit, backend, precision, noise model, seed, output. The hex above is real: SHA-256 output hashes of Lab runs (bell, ghz, uniform, grover; seed 42, 2048 shots). Re-run them and you will get the same digests.

Reproduce them in the LabRead the draft fields

Quantum Lab · live today

Don’t take our word.
Run it yourself.

A real state-vector simulation on your own device, a Workload Passport for every run, and a verifier that catches a single fabricated shot. Classical simulation — honestly labelled.

Open the LabBenchmark your device
Real screen recording of /lab · 11 s loop · not a mock-up

Platform

A neutral control plane for hybrid quantum workflows.

CPUs and GPUs prepare, optimize, simulate, and post-process work; quantum processors may be used for selected workloads where access and advantage are demonstrated.

  1. 01

    Workload intake

    Accept a circuit, algorithm, optimization problem, or research question.

  2. 02

    Validation & normalization

    Parse the workload, identify requirements, and produce a portable intermediate representation where possible.

  3. 03

    Backend selection

    Compare available simulators, GPU paths, classical fallbacks, and authorized quantum hardware.

  4. 04

    Execution & orchestration

    Schedule jobs, track status, preserve parameters, and collect reproducible outputs.

  5. 05

    Benchmark & insight

    Compare runtime, memory, fidelity proxies, cost, noise sensitivity, and result quality.

Backend availability, performance, and compatibility depend on licences, credentials, infrastructure, circuit size, noise, and vendor-specific limitations.

Honest numbers

The only figures we’ll show you are ones we can prove.

architecture layers, each with a public status
5
research tracks, each with a classical baseline
10
claims of quantum advantage
0
claimed partnerships or endorsements
0

Three maturity tracks

Learn. Experiment. Deploy.

Separated so a tutorial is never mistaken for a simulator run, and a simulator run is never mistaken for a hardware result.

Track 01

Learn

Education, tutorials, and explainers. Nothing here is a compute result.

Planned
Track 02

Experiment

Simulation and benchmarking with full reproducibility metadata.

Planned
Track 03

Deploy

Authorized research or production backends, with consent for any fee-bearing job.

Planned

Execution layer

One workload.
Many backends.
Honest labels.

The control plane routes a validated workload to whichever backend fits — classical simulators first, GPU and tensor-network paths where licensing allows, authorized quantum hardware only with permission. Every node shows its real status.

  • 3Verified
  • 2Prototype
  • 1Needs access
  • 1Planned
One passport · one hashBrowser, CPU reference, tensor network and Origin QPanda3 return the identical output hash for the same workload — re-checked in CI.
Explore the architectureCompatibility matrix

Technology foundations

Built to interface with public developer tooling.

Two reference ecosystems inform the design. They are potential integration targets — not partners.

Live · entanglement

Measure it
yourself.

Real shots, sampled in your browser from exact quantum states. The same physics the GPU connector computes on NVIDIA cuStateVec — and the result is verifiable bit-for-bit.

GPU path · cuQuantumOpen the Lab
0 shots measured
Each dot is one measurement sampled live from the exact state vector — the same fp64 simulator as the Lab. Entangled states never produce mixed outcomes: watch the empty buckets.
Path 01Prototype connector

GPU-accelerated simulation

Reference: NVIDIA cuQuantum (public developer tooling)

  • Accelerated state-vector simulation (cuStateVec).
  • Tensor-network computation and contraction-path optimization (cuTensorNet).
  • Density-matrix and quantum-dynamics workflows (cuDensityMat).
  • Stabilizer and Pauli-propagation methods (cuStabilizer, cuPauliProp).
  • C and Python access paths.
  • Integration with selected quantum frameworks.
  • Single-GPU, multi-GPU, and multi-node — where supported by implementation and infrastructure.
See the QAISS cuQuantum connector
Path 02Prototype connector

Hardware, cloud & hybrid

Reference: Origin Quantum (public platform information)

  • Quantum cloud access and simulators.
  • Hardware–software integration through QPanda3 (pyqpanda3 0.5.0 on PyPI).
  • OriginIR and OpenQASM 2.0 as documented circuit interchange formats.
  • Origin Pilot’s documented orchestration across quantum and classical resources.
  • Quantum–classical job management, scheduling, monitoring, and error-mitigation concepts.
  • Application areas — optimization, finance, chemistry, AI, smart grids, education — as research domains, not guaranteed outcomes.
Explore Origin Quantum documentation

QAISS is an independent project. References to third-party technologies describe potential compatibility or architectural inspiration. They do not establish endorsement, sponsorship, or commercial partnership.

Proposed modules

What we intend to build

All modules are proposals. Each moves to “prototype” only with a public milestone, an owner, and a demo.

01 / 07

Quantum Workspace

A project space for circuits, notebooks, algorithms, experiment settings, datasets, and result artifacts.

Planned
02 / 07

Backend Router

A policy-driven service that recommends a backend based on circuit requirements, simulator capability, cost, queue, noise, and user permissions.

Planned
03 / 07

Benchmark Lab

Reproducible comparisons of simulation speed, memory, accuracy proxies, depth, gate counts, noise sensitivity, and cost.

No benchmark is ever shown without hardware, software version, workload, precision, and date.

Prototype
04 / 07

Quantum AI Lab

Research on hybrid algorithms — VQE, QAOA, quantum kernels, quantum neural networks, parameter optimization.

All examples are research/prototype unless independently validated.

Planned
05 / 07

Developer API & SDK

Submit workloads, read job state, retrieve results, and export experiment manifests.

Mock data only until a production API exists.

Planned
06 / 07

Learning Hub

Plain-language explainers, notebooks, glossary, tutorials, and guided experiments.

Prototype
07 / 07

Community Research Board

Proposals, bounties, grants, benchmark challenges, and research contributions.

Community signals are not legal governance until a model is defined and reviewed.

Planned

Research tracks

Use cases, with classical baselines.

Six of ten tracks. Each states its classical baseline, what would count as success, and its limits. QAISS measures value rather than assuming quantum advantage.

  1. 01 / 06

    Quantum algorithm education

    Learn by running real circuits on clearly-labelled simulators. Hands-on circuit work builds intuition that theory alone does not.

    Classical baselineExisting open courses and single-SDK tutorials.

  2. 02 / 06

    Reproducible simulation & benchmarking

    Compare backends with full environment metadata. Comparison is the prerequisite for any claim about speed or quality.

    Classical baselineBest available classical simulator on documented hardware.

  3. 03 / 06

    Molecular & materials research

    Explore variational methods against classical chemistry baselines. Quantum simulation of quantum systems is a long-studied candidate application.

    Classical baselineEstablished classical methods (e.g. DFT, coupled cluster) for the same molecules.

  4. 04 / 06

    Portfolio optimization & risk-model research

    Research QAOA-style formulations with classical solvers alongside. Some optimization problems map naturally to quantum formulations worth studying.

    Classical baselineCommercial and open-source classical optimizers on the same instances.

  5. 05 / 06

    Machine-learning experimentation

    Study quantum kernels and QNNs with honest baselines. Quantum kernels and parameterized circuits are active research topics.

    Classical baselineClassical kernels and neural networks with matched data and tuning effort.

  6. 06 / 06

    Post-quantum security awareness & migration

    Plan cryptographic migration — the “security” in QAISS. Standardized post-quantum algorithms now exist; migration takes years.

    Classical baselineExisting crypto-inventory tools and published migration guidance.

All 10 research tracks

Token

A transparent on-chain community layer.

Verifiable facts — not price promotion. Utility, supply, and distribution stay “to be verified” until the project owner publishes official documentation.

Verified token factsVerify on Solscan
Network
Solana
Ticker
QAISS
Authorities
Renounced
Utility
None confirmed
Mint address
qAiSsY4QBC75SGeFnrfujt4LTgZyCqinEyD11x5SR6f

Always compare every character with the on-chain record before use. QAISS will never DM you a different address.

  • Mint authority · checking…
  • Freeze authority · checking…
  • Supply · checking…

Quantum × Crypto

What quantum computers
mean for crypto — honestly.

The "Security" in QAISS starts with telling the truth about risk. Here is what is known, what is standardised, and what it means for this token — no fear, no hype.

At risk, long-term

Elliptic-curve signatures

Solana signs transactions with Ed25519; Bitcoin and Ethereum use secp256k1 (ECDSA / Schnorr). A large, fault-tolerant quantum computer running Shor’s algorithm could derive private keys from public keys.

Threat: future
Weakened, not broken

Hashes & symmetric keys

Grover’s algorithm gives at most a quadratic speed-up on brute-force search. SHA-256 and AES-256 keep a large security margin; doubling sizes restores it fully.

Mitigated by size
Standardised

Post-quantum cryptography

NIST finalised ML-KEM (FIPS 203), ML-DSA (FIPS 204) and SLH-DSA (FIPS 205) in 2024 — lattice- and hash-based schemes designed to resist known quantum attacks.

Available now
This token

QAISS is not quantum-secure

The QAISS token is a standard Solana SPL token secured by Ed25519 like every other Solana asset. QAISS does not claim otherwise; our role is education, inventory and migration planning.

Disclosed

Sources: NIST FIPS 203 (ML-KEM), FIPS 204 (ML-DSA) and FIPS 205 (SLH-DSA), finalised August 2024. No publicly known quantum computer can run Shor’s algorithm at the scale needed to break today’s elliptic-curve keys; estimates of when one might exist vary widely and are not endorsed here.

Post-quantum migration trackLearn the terms

Roadmap

Milestones, not dates.

Each item carries an owner, status, dependency, evidence link, and last-updated date.

  1. Phase 0

    Verify and document

    4 items · 1 in prototype
  2. Phase 1

    Public research hub

    4 items · 3 in prototype
  3. Phase 2

    Simulation prototype

    4 items · 3 in prototype
  4. Phase 3

    Backend adapter layer

    3 items · 2 in prototype
  5. Phase 4

    Quantum AI workspace

    2 items · 0 in prototype
  6. Phase 5

    Ecosystem and governance

    3 items · 0 in prototype
Full roadmap with evidence

Help build the
evidence layer.

Read the technical brief

Architecture, scope, and limits.

Open

Join the research community

Proposals, challenges, discussion.

Join

Request a demo

Integration or research inquiries.

Contact

Explore the developer roadmap

Schemas, adapters, benchmarks.

Docs

Changelog

Latest from the lab

Real releases only. Every status change on this site is recorded here.

Execution layer: current statuses, Origin QPanda3 node, readable routing

New scroll sequence for the execution layer, replacing the vortex and explosion: a workload card travels into the control plane, a validation ring closes around it (schema and hash checks), then routes are drawn to each backend one by one and the backends appear as their route arrives. Slow orbit rings replace the particle storm; nothing flashes or shakes.

Read release notes

Security page, security.txt, impersonation watch, qaissecurity.com

The site now lives at qaissecurity.com: canonical links, sitemap and robots point there.

Read release notes

Use cases: horizon map, workflows, sources and live demos

Every track now states its horizon — useful today, research on noisy hardware, or fault-tolerant era — with the reason, drawn from the cited literature. A horizon map and filters on the index show all ten at a glance.

Read release notes
View full changelog

Read before you trust.

  • Technical briefDraft v0.1 — scope, architecture, evidence, token decision recordRead draft
  • Learning HubQuantum computing in plain English — 27 termsRead
  • Developer docsWorkload schema, adapter spec, connector rulesRead
  • Benchmark protocol v0Run it on your own device, download the recordRun
  • Trust centerAddresses, disclosures, claim ledger, licencesRead

Release notes

Engineering updates,
not hype.

Research drafts, releases, and every change to a public claim. No price talk.

Subscriptions open once the project publishes its privacy policy and mailing endpoint.