Mitiq: A software package for error mitigation on noisy quantum computers

Abstract

We introduce Mitiq, a Python package for error mitigation on noisy quantum computers. Error mitigation techniques can reduce the impact of noise on near-term quantum computers with minimal overhead in quantum resources by relying on a mixture of quantum sampling and classical post-processing techniques. Mitiq is an extensible toolkit of different error mitigation methods, including zero-noise extrapolation, probabilistic error cancellation, and Clifford data regression. The library is designed to be compatible with generic backends and interfaces with different quantum software frameworks. We describe Mitiq using code snippets to demonstrate usage and discuss features and contribution guidelines. We present several examples demonstrating error mitigation on IBM and Rigetti superconducting quantum processors as well as on noisy simulators.

arXiv comment33 pages, 8 figures. The Mitiq GitHub is https://github.com/unitaryfund/mitiq and the Mitiq documentation is https://mitiq.readthedocs.io/en/stable/

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Cited by in corpus (23)

• Quantum Error Mitigation
• Extending quantum probabilistic error cancellation by noise scaling
• Quantum Error Mitigation using Symmetry Expansion
• Pulse-level noisy quantum circuits with QuTiP
• Quantum Annealing vs. QAOA: 127 Qubit Higher-Order Ising Problems on NISQ Computers
• Error-Mitigated Simulation of Quantum Many-Body Scars on Quantum Computers with Pulse-Level Control
• Algebraic Bethe Circuits
• Well-conditioned multi-product formulas for hardware-friendly Hamiltonian simulation
• Analyzing the impact of time-correlated noise on zero-noise extrapolation
• Efficiently improving the performance of noisy quantum computers
• Testing platform-independent quantum error mitigation on noisy quantum computers
• Comparative study of adaptive variational quantum eigensolvers for multi-orbital impurity models
• Optimization of Richardson extrapolation for quantum error mitigation
• Towards the real-time evolution of gauge-invariant ${\mathbb{Z}}_2$ and $U(1)$ quantum link models on NISQ Hardware with error-mitigation
• Volumetric Benchmarking of Error Mitigation with Qermit
• Quantum Vulnerability Analysis to Accurate Estimate the Quantum Algorithm Success Rate
• Quantum Error Mitigation via Quantum-Noise-Effect Circuit Groups
• Digital quantum simulation of non-perturbative dynamics of open systems with orthogonal polynomials
• Real-time simulation of light-driven spin chains on quantum computers
• Characterizing and mitigating coherent errors in a trapped ion quantum processor using hidden inverses
• Improving the efficiency of learning-based error mitigation
• Extending C++ for Heterogeneous Quantum-Classical Computing
• Automated quantum error mitigation based on probabilistic error reduction