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Mitiq Roadmap (summary, look here for 2023 planning)

Error mitigation techniques:

• Current:

  • Zero-Noise Extrapolation (ZNE)
  • Probabilistic Error Cancellation (PEC)
  • Clifford Data Regression
  • Digital Dynamical Decoupling
  • Readout error mitigation
  • Learning-based PEC
  • Pauli twirling

• Planned:

  • Robust shadow estimation
  • Quantum subspace expansion

• Candidates for the future (not planned):

  • Noise-Extended Probabilistic Error Cancellation (NEPEC)
  • Other symmetry-based techniques, such as: Error Suppression by Derangement / Virtual Distillation, Symmetry Verification.
  • Entanglement forging / circuit knitting

Integrations / APIs

• Current:

  • Cirq
  • Qiskit
  • PyQuil
  • Braket
  • PennyLane

• Candidate:

  • QuTiP
  • OpenPulse

Mitiq 2023 Roadmap

Mission: Make error mitigation easily available to everyone running programs on quantum computers. Objective: Mitiq should be so effective that every quantum program should compile through mitiq.

Support the following techniques and features:

• Add robust shadow estimation
• Add quantum subspace expansion
• Mitiq supports automatic quantum error mitigation calibration and choice of error-mitigation techniques (ZNE, PEC)
• Combining different error mitigation techniques (add tutorials, documentation, workflows)

Talks

• List of Talks.