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Universal Quantum Error Mitigation via Random Inverse Depolarizing Approximation

CSEF · 2026 Physics & Astronomy (Senior Division)

Alexander Miller

Overview

The computational power of quantum computing is expected to expedite advances in fields from chemistry to machine learning. However, this potential is locked behind the high error rates of present-day devices, making error mitigation essential. I introduce Random Inverse Depolarizing Approximation (RIDA), which models the global noise channel as a depolarizing channel and determines the depolarization probability of each circuit by running a randomly extracted half of the circuit followed by its inverse. RIDA then inverts this noise channel to estimate the error-free expectation. In numerical experiments on simulated quantum computers, I show RIDA achieves lower error than benchmark methods, suggestive of immediate practical use in near-term quantum computing applications.

Competition history

  • CSEF 2026 Physics & Astronomy (Senior Division) · Entry S-17-14

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