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Attested & literatureAlgorithmsVariational quantum eigensolver

Readout-mitigated VQE

Calibrated assignment errors are inverted or regularized before Pauli expectations are assembled.

VQEvariational algorithmreadout-mitigated vqe

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Calibrated assignment errors are inverted or regularized before Pauli expectations are assembled. This record separates the reusable method idea from any one molecule, Hamiltonian, optimizer, or device.

Circuit & simulation
What this takes and returns
TakesNothingWhat joins here

No input port at this edge: the record publishes no gate sequence and no register, so there is nothing here to read one off — and unlike a declared hole, nothing has been recorded about what belongs here.

Nothing in the Atlas meets this end.

ReturnsNothingWhat joins here

No output port at this edge: the record publishes no gate sequence and no register, so there is nothing here to read one off — and unlike a declared hole, nothing has been recorded about what belongs here.

Nothing in the Atlas meets this end.

This record publishes no gate sequence and no register, so there is nothing here to read an interface off. Absent rather than empty. See all 152 →

Where this sits

This record is named by the layer graph at:

  • Readout (measurement) error mitigation Method

    Takes A circuit, a target observable, a noisy device, a shot budget, and — for the model-based methods — a learned characterization of the device noise. Returns A bias-reduced expectation-value estimate, with a variance — equivalently a sampling overhead — that grows with circuit volume.

How it works

Calibrated assignment errors are inverted or regularized before Pauli expectations are assembled. In a complete experiment, the method must be paired with a defined qubit Hamiltonian, reference state, parameterized circuit, measurement grouping, classical optimizer, stopping rule, and error analysis. The catalog therefore treats it as a literature-backed algorithm record rather than pretending that one generic snippet is the paper's implementation. Use the cited source to recover assumptions and compare energy error, variance, circuit resources, measurement cost, optimizer evaluations, and robustness under the same instance and budget.

Implementation
Unsupported
vqe-readout-mitigation.txt
METHOD: Readout-mitigated VQE
SCOPE: Calibrated assignment errors are inverted or regularized before Pauli expectations are assembled.

This is a literature method record, not a fixed circuit.
Supply: Hamiltonian, reference state, ansatz, optimizer, measurement plan, and stopping rule.

A reference record, not runnable source. Leona cannot execute it, so it cannot be saved to your Library as a circuit.

Quantum vs classical

Classical baseline

Compare Variational quantum eigensolver with the strongest classical method for the same instance, input budget, and output metric.

Quantum claim

This reference exposes a quantum circuit pattern; it does not imply an application-level speedup without a matched benchmark.

How to compare

Report input loading, circuit depth, repetitions, classical preprocessing, post-processing, and wall-clock time together.

Declared gaps

Nobody has reviewed this record for gaps yet.

Literature & references
Mitigating measurement errors in multi-qubit experiments2020 · Sergey Bravyi, Sarah Sheldon, Abhinav Kandala, David C. McKay, Jay M. Gambetta

Primary or survey context for Readout-mitigated VQE; consult the paper for assumptions and implementation details.

arxiv.org/abs/2006.14044