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Algorithms · Variational quantum algorithm

Variational quantum eigensolver for ground-state energy

A hybrid chemistry workflow that compares a quantum expectation loop with classical eigensolvers.

Strong empiricalUpdated

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ansatz statePauli measurementsclassical optimizerStep 1 of 3 · U(θ) · on ansatz stateU(θ)Step 2 of 3 · ⟨H⟩ · on ansatz state, Pauli measurements⟨H⟩Step 3 of 3 · θ ← opt · on Pauli measurementsθ ← opt

3 steps across 3 wires. Hover a step, or press play to go through them in order.

Expected outcomes

  • Energy92%
  • Steps3
  • Wires3
  • QubitsProblem mapped
  • LoopQuantum + classical
  • OutputEnergy estimate
  • Papers2

Where this sits

This record is named by the layer graph at:

  • Variational quantum eigensolver Method

    Takes A Hermitian HH reachable as a sum of terms, as sparse-access oracles or as a block-encoding; a way to prepare trial states, and — for the methods that need it — a trial state whose overlap with the ground state is not negligible; a target additive error ε\varepsilon and a confidence 1−δ1-\delta. Returns A scalar estimate of the lowest eigenvalue with a stated additive-error guarantee, plus the run or query budget it consumed. Whether that estimate is also a rigorous upper bound is a property of the method and is not promised by the slot.

Related entries

References

Strong empirical
  • Small-instance agreement
  • Invariant & structural checks
  • Peer-reviewed paper
Method
A small Pauli Hamiltonian expectation is compared with exact diagonalization while the classical optimizer is visible.
Result
Pass for the toy Hamiltonian · molecular benchmark remains a separate dataset and basis-set decision.
Caveat
Noise, ansatz expressivity, optimizer convergence, measurement grouping, and mapping choices dominate practical outcomes.
A variational eigenvalue solver on a quantum processor ↗
Kind
curated reference
Reviewed by
LeonaQ literature curation pass
License
Public bibliographic link; code is an original reference implementation
chemistryvqeground statehybrid
  • Molecular ground states and reaction energies
  • Materials and catalyst screening
  • Hybrid quantum chemistry prototyping

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