Reliable Error Suppression for Near-term Quantum Computation

Congratulations Dr.Yang!

Abstract

Quantum computation promises transformative advantages in computation and security, but turning this promise into practical quantum technologies requires both reliability and trust. Quantum devices must produce reliable results despite physical noise, and users must be able to trust computations performed on remote, potentially untrusted hardware.

This thesis addresses these challenges by developing resource-efficient methods for secure and reliable quantum computation before full fault tolerance becomes available. It introduces new techniques for suppressing errors in near-term quantum applications, including quantum error mitigation methods that enable quantum simulation beyond the size of the available hardware.

In parallel, it develops cryptographic verification protocols that extend verifiable quantum computation to expectation-value estimation and, for the first time, bring quantum error mitigation within an end-to-end cryptographically secure framework, allowing these tasks to be carried out blindly and verifiably without sacrificing their practical applicability.

By bringing error suppression and cryptographic verification into a unified framework, this work aims to close an important gap between demonstrating quantum computational power and making that power genuinely usable and trustworthy. The results provide new practical tools and theoretical foundations towards reliable quantum utility on noisy, remotely accessed quantum hardware, and ultimately towards trustworthy quantum cyber infrastructure.