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- Error mitigation for short-depth quantum circuits. Kristan Temme et al. PRL 2017
- Learning-based quantum error mitigation. Armands Strikis et al. 2020
- Error mitigation for short-depth quantum circuits. Kristan Temme et al. PRL 2017
- Error mitigation extends the computational reach of a noisy quantum processor. Abhinav Kandala et al. Nature 2019
- Digital zero noise extrapolation for quantum error mitigation. Tudor Giurgica-Tiron et al. QCE 2020 [code]
- Zero-noise extrapolation for quantum-gate error mitigation with identity insertions. Andre He et al. PRA 2020
- Resource efficient zero noise extrapolation with identity insertions. Andre He et al. 2020
- Error mitigation with Clifford quantum-circuit data. Piotr Czarnik et al. 2020
- Unified approach to data-driven quantum error mitigation. Angus Lowe et al. 2020
- Simulating quench dynamics on a digital quantum computer with data-driven error mitigation. Alejandro Sopena et al. 2021
- Machine learning of noise-resilient quantum circuits. Lukasz Cincio et al. PRX Quantum 2021
- Quantum-assisted quantum compiling. Sumeet Khatri et al. Quantum 2019
- Virtual distillation for quantum error mitigation. William J. Huggins et al. 2020
- Qubit-efficient exponential suppression of errors. Piotr Czarnik et al. 2021
- Pennylane: A cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.
- Qiskit: An open source SDK for working with quantum computers at the level of pulses, circuits and application modules.
- IBM Quantum: A graphical quantum programming tool that lets you drag and drop operations to build quantum circuits and run them on real quantum hardware or simulators.