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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)
  • 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.

• Robust shadow estimation
• Quantum subspace expansion
• Mitiq supports automatic quantum error mitigation calibration and choice of error-mitigation techniques (ZNE, PEC)

Mitiq 2022 Roadmap

Q1

• Scope and prototype Dynamical Decoupling (DD): Literature Review. Notebooks. Write a function which inserts spin echoes on idle qubits in a Cirq circuit that shows some possible improvement in estimated expectation values.
• Benchmark project: Run 3 error mitigation techniques (e.g., ZNE, PEC, CDR) on 2 tasks (e.g., RB, mirror circuits) on 3 different hardware devices (e.g., multiple superconducting qubits, ion chips).
• Mitiq Maintenance and enhancements: Identify and fix at least 6 open issues with a high-priority label (p0 or p1).

Q2

• Implement DD and make public release: Incorporate tools into a Mitiq module/technique: (i) Use conversions for frontend IO, (ii) define an execute_with_dd function with the canonical Mitiq signature.
• Continue Benchmark project: Finalize results and data analysis
• Mitiq Maintenance and enhancements: Identify and fix at least 6 open issues with a high-priority label (p0 or p1).
• Prototype QIR support: and propose full implementation timeline

Q3

• Test DD on hardware: Use Mitiq’s DD on a hardware provider with a benchmark circuit to demonstrate improved performance (more accurate results) in the docs.
• Benchmarks: Write and upload paper with results
• Prototype readout error mitigation (REM)
• Mitiq Maintenance and enhancements: Identify and fix at least 6 open issues with a high-priority label (p0 or p1).

Q4

• Implement REM and test on hardware: Write a function to compute readout errors (confusion matrices) on a set of qubits on a given backend.
• Mitiq Maintenance and enhancements: Identify and fix at least 6 open issues with a high-priority label (p0 or p1).

Talks

• List of Talks.