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Ctrl+K Site Navigation * * Users Guide * Examples * API-doc * Contributing More Changelog References * Source Repository Site Navigation * * Users Guide * Examples * API-doc * Contributing More Changelog References * Source Repository Advertising for Developers Reach your niche with powerful contextual targeting powered by ML Ad by EthicalAds · ℹ️ # Mitiq is a Python toolkit for implementing error mitigation techniques on quantum computers. Current quantum computers are noisy due to interactions with the environment, imperfect gate applications, state preparation and measurement errors, etc. Error mitigation seeks to reduce these effects at the software level by compiling quantum programs in clever ways. Want to know more? Check out our documentation and chat with us on Discord. QUICKSTART# INSTALLATION# pip install mitiq Copy to clipboard EXAMPLE# Define a function which inputs a circuit and returns an expectation value you want to compute, then use Mitiq to mitigate errors. import cirq from mitiq import zne, benchmarks def execute(circuit, noise_level=0.005): """Returns Tr[ρ |0⟩⟨0|] where ρ is the state prepared by the circuit with depolarizing noise.""" noisy_circuit = circuit.with_noise(cirq.depolarize(p=noise_level)) return ( cirq.DensityMatrixSimulator() .simulate(noisy_circuit) .final_density_matrix[0, 0] .real ) circuit = benchmarks.generate_rb_circuits(n_qubits=1, num_cliffords=50)[0] true_value = execute(circuit, noise_level=0.0) # Ideal quantum computer noisy_value = execute(circuit) # Noisy quantum computer zne_value = zne.execute_with_zne(circuit, execute) # Noisy quantum computer + Mitiq print(f"Error w/o Mitiq: {abs((true_value - noisy_value) / true_value):.3f}") print(f"Error w Mitiq: {abs((true_value - zne_value) / true_value):.3f}") Copy to clipboard Sample output: Error w/o Mitiq: 0.264 Error w Mitiq: 0.073 Copy to clipboard CALIBRATION# Unsure which error mitigation technique or parameters to use? Try out the calibration module demonstrated below to help find the best parameters for you particular backend! See our guides and examples for more explanation, techniques, and benchmarks. QUICK TOUR# ERROR MITIGATION TECHNIQUES# Technique Documentation Mitiq module Paper Reference(s) Zero-noise extrapolation ZNE mitiq.zne 1611.09301 1612.02058 1805.04492 Probabilistic error cancellation PEC mitiq.pec 1612.02058 1712.09271 1905.10135 (Variable-noise) Clifford data regression CDR mitiq.cdr 2005.10189 2011.01157 Digital dynamical decoupling DDD mitiq.ddd 9803057 1807.08768 Readout-error mitigation REM mitiq.rem 1907.08518 2006.14044 See our roadmap for additional candidate techniques to implement. If there is a technique you are looking for, please file a feature request. INTERFACE# We refer to any programming language you can write quantum circuits in as a frontend, and any quantum computer / simulator you can simulate circuits in as a backend. SUPPORTED FRONTENDS# Cirq Qiskit pyQuil Braket PennyLane Note: Cirq is a core requirement of Mitiq and is installed when you pip install mitiq. SUPPORTED BACKENDS# You can use Mitiq with any backend you have access to that can interface with supported frontends. CITING MITIQ# If you use Mitiq in your research, please reference the Mitiq whitepaper using the bibtex entry found in CITATION.bib. A list of papers citing Mitiq can be found on Google Scholar / Semantic Scholar. LICENSE# GNU GPL v.3.0. CONTRIBUTING# We welcome contributions to Mitiq including bug fixes, feature requests, etc. To get started, check out our contribution guidelines and/or documentation guidelines. CONTRIBUTORS ✨# Thank you to all of the wonderful people that have made this project possible. Non-code contributors are also much appreciated, and are listed here. Thank you to * @francespoblete for much of Mitiq’s design work/vision Contributions of any kind are welcome! next On this page * Quickstart * Installation * Example * Calibration * Quick Tour * Error mitigation techniques * Interface * Supported frontends * Supported backends * Citing Mitiq * License * Contributing * Contributors ✨ Show Source © Copyright 2020 - 2023, Tech Team @ Unitary Fund. Created using Sphinx 5.2.3. v: stable Versionen latest stable v0.31.0 v0.30.0 v0.29.0 v0.28.0 v0.27.0 v0.26.0 v0.25.0 v0.24.0 v0.23.0 v0.21.0 v0.20.0 v0.19.0 v0.18.0 v0.17.1 v0.17.0 v0.16.0 v0.15.0 v0.14.0 v0.13.0 v0.12.0 v0.11.1 v0.11.0 v0.10.0 v0.9.2 v0.9.1 v0.9.0 v0.6.0 v0.5.0 v0.4.1 v0.4.0 v0.3.0 v0.2.0 v.0.1a2 v0.1.0 Auf Read the Docs Projektstartseite Erstellungsprozesse Downloads Auf GitHub Ansehen Suche -------------------------------------------------------------------------------- Bereitgestellt von Read the Docs · Datenschutz-Bestimmungen