42 lines
1.7 KiB
Plaintext
42 lines
1.7 KiB
Plaintext
---
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title: Qiskit addons
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description: Understand the Qiskit addon tools , which help you build utility-grade quantum workflows.
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---
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# Qiskit addons
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Qiskit addons are a collection of modular tools for building utility-scale workloads powered by Qiskit. These tools are derived from advanced research capabilities and are designed to be stackable with other tools as part of a [Qiskit pattern.](./intro-to-patterns)
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## Mapping tools
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### Multi-product formulas
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Multi-product formulas (MPF) reduce the Trotter error of Hamiltonian dynamics through a weighted combination of several circuit executions.
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- Visit the [GitHub repository.](https://github.com/Qiskit/qiskit-addon-mpf)
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- Read the [documentation.](https://qiskit.github.io/qiskit-addon-mpf)
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## Optimizing tools
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### Operator backpropagation
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Operator backpropagation (OBP) reduces circuit depth by trimming operations from the end at the cost of more operator measurements.
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- Visit the [GitHub repository.](https://github.com/Qiskit/qiskit-addon-obp)
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- Read the [documentation.](https://qiskit.github.io/qiskit-addon-obp)
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### Circuit cutting
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Circuit cutting reduces the depth of transpiled circuits by decomposing long range gates.
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- Visit the [GitHub repository.](https://github.com/Qiskit/qiskit-addon-cutting)
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- Read the [documentation.](https://qiskit.github.io/qiskit-addon-cutting)
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## Postprocessing tools
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### Sample-based quantum diagonalization
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Sample-based quantum diagonalization (SQD) classically postprocesses noisy quantum samples to yield more accurate energy estimations.
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- Visit the [GitHub repository.](https://github.com/Qiskit/qiskit-addon-sqd)
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- Read the [documentation.](https://qiskit.github.io/qiskit-addon-sqd) |