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Research track · Chemistry & materials

Molecular & materials research

Explore variational methods against classical chemistry baselines.

Fault-tolerant eraPlanned

Why this horizon. Resource estimates for industrially relevant molecules (e.g. the FeMoco cofactor) call for error-corrected machines; small molecules like H₂ remain easy for classical methods.

The problem
Accurate electronic-structure calculations scale poorly on classical machines for some systems.
Why quantum or hybrid methods may be relevant
Quantum simulation of quantum systems is a long-studied candidate application.
Classical baseline
Established classical methods (e.g. DFT, coupled cluster) for the same molecules.
What QAISS could provide
VQE-style templates, simulator runs, and side-by-side baseline reports.
What evidence would count as success
Energies within chemical accuracy of trusted references, with cost and runtime reported.
Limitations & open questions
Current hardware noise and scale limit practical system size. No medical or commercial benefit is claimed.
Current status
Planned No experiments have been published for this track yet.

Workflow on QAISS

From question to checkable result.

  1. STEP 1

    Write the molecular Hamiltonian in a basis set and map it to qubits.

  2. STEP 2

    Choose an ansatz and estimate the energy from measurements (VQE).

  3. STEP 3

    Compare with the exact or best classical answer (diagonalisation, coupled cluster).

  4. STEP 4

    Record the passport: Hamiltonian, ansatz, shots, optimiser, seed.

Interactive · runs in your browser

Find the H₂ ground state with VQE

exact (classical diagonalisation) -1.857275 Haθ = 02π
Estimated energy
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Error vs exact
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Step
0

Chemical accuracy is about 1.6 mHa (1 kcal/mol). Fewer shots mean noisier estimates and a wobbling optimiser — the cost that real hardware pays on every step.

Circuit: X on q₀ · RY(θ) on q₁ · CNOT q₁→q₀, giving cos(θ/2)|10⟩ + sin(θ/2)|01⟩. Hamiltonian: H₂ in STO-3G at 0.735 Å, parity mapping, two qubits (the standard tutorial instance). The gradient uses the parameter-shift rule. Classical simulation in your browser; a 2-qubit molecule is trivial for a classical computer, which is exactly why it is a good test.

No quantum advantage, production savings, medical benefit, financial return, or security guarantee is claimed for this track.

Release notes

Engineering updates,
not hype.

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

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