A toolkit for applying error mitigation techniques on most quantum computers.
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Updated
Oct 19, 2026 - Python
A toolkit for applying error mitigation techniques on most quantum computers.
Tensor network based quantum software framework for the NISQ era
Haiqu SDK: Quantum Performance Middleware for Python. State compression, data loading, error mitigation, circuit analytics and hybrid quantum application execution on real quantum hardware
Simulation suite for erasure noise and postselection as quantum error mitigation.
Implementation of the paper Quantum Error Mitigation by Pauli Check Sandwiching. The scheme was first explored by the paper Extended flag gadgets for low-overhead circuit verification. Adds Pauli parity checks to the input quantum circuit.
Machine Learning for Quantum Error Mitigation on gate-based NISQ devices
Quantum circuit unoptimization with zero-noise extrapolation
Physics-informed ZNE validation using Navier-Stokes energy norms and Fibonacci noise scaling. Flags hallucinated corrections in NISQ circuits.
A Python high-performance open-source PIC framework for Open Quantum System dynamics. Leveraging Fibonacci time self-similarity and folding mirrors to achieve scalable, noise-resilient state healing and dynamic decoupling across infinite-domain spaces on classical hardware.
K-R Scaling Exponent diagnostic framework for NISQ noise regimes. IBM Quantum hardware experiments on ibm_kingston, ibm_fez, ibm_marrakesh. Code and data for IEEE TQE manuscript
biqmn contains the simulation and analysis code for the relational spectral recovery experiments reported in the manuscript. The main reproducibility target is the C3R robust-policy analysis over clean, partial-syndrome, noisy-syndrome, partial-plus-noisy, and ambiguity-plus-measurement regimes.
Numerical experiments for Zeno-enhanced probabilistic error cancellation with quantum error detection codes
Reproducible simulation study of zero-noise extrapolation for quantum many-body scar dynamics in the mixed-field Ising model.
Mirror-circuit noise simulations for a quantum error mitigation course study
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