Error Mitigation for Quantum Approximate Optimization

Understand

Solving optimization problems on near term quantum devices requires developing error mitigation techniques to cope with hardware decoherence and dephasing processes.

• We propose a mitigation technique based on the LHZ architecture.
• This architecture uses a redundant encoding of logical variables to solve optimization problems on fully programmable planar quantum chips.
• We discuss how this redundancy can be exploited to mitigate errors in quantum optimization algorithms.