Advanced techniques - Qiskit addons

Qiskit addons are a collection of research capabilities for enabling algorithm discovery at the utility scale. These modular software components can plug into a workflow to scale or design new quantum algorithms. Many of these addons are powered by the qiskit-addon-utils package. See the Qiskit addon utilities documentation for more information.

• AQC-Tensor

  Approximate quantum compilation with tensor networks (AQC-Tensor) enables the construction of high-fidelity circuits with reduced depth.

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• Multi-product formulas

  Multi-product formulas (MPF) reduce the Trotter error of Hamiltonian dynamics through a weighted combination of several circuit executions.

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• Optimization Mapper

  The Optimization Mapper addon contains functionality to model optimization problems by formulating them in abstract models and then converting into representations that a quantum computer can understand.

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• Operator backpropagation

  Operator backpropagation (OBP) reduces circuit depth by trimming operations from the end at the cost of more operator measurements.

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• Circuit cutting

  Circuit cutting reduces the depth of transpiled circuits by decomposing entangling gates between non-adjacent qubits.

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• Matrix-free Measurement Mitigation

  Matrix-free Measurement Mitigation (M3) is a package for scalable quantum measurement error mitigation that can be computed in parallel.

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• Shaded lightcones

  The shaded lightcones (SLC) addon uses Pauli propagation to reduce the number of error terms in a noise model that need to be mitigated. This has the effect of reducing the sampling overhead for probabilistic error cancellation (PEC) workflows.

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• Propagated noise absorption

  Propagated noise absorption (PNA) uses Pauli propagation to absorb information from a noise model into a target observable. Measuring this modified observable has the effect of mitigating the noise as represented by the model.

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• Sample-based quantum diagonalization

  Sample-based quantum diagonalization (SQD) classically post-processes noisy quantum samples to yield more accurate eigenvalue estimations of quantum system Hamiltonians.

  Overview

• SQD for HPC

  This addon is an HPC-ready implementation of the SQD addon. It is written in modern C++17 standards and is designed to create a single compiled binary for use with MPI.

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• Dice eigensolver

  This addon utilizes a more performant eigensolver to scale SQD chemistry workflows past 30 orbitals an HPC-ready implementation of the SQD addon.

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