Securing NISQ Quantum Computer Reset Operations Against Higher Energy State Attacks

Abstract

Enabling the sharing of quantum computers among different users requires a secure reset operation that can reset the state of a qubit to ground state |0$>$ and prevent leakage of the state to a post-reset circuit. This work highlights that the existing reset operations available in superconducting qubit NISQ quantum computers are not fully secure. In particular, this work demonstrates for the first time a new type of higher-energy state attack. Although NISQ quantum computers are typically abstracted as working with only energy states |0$>$ and |1$>$, this work shows that it is possible for unprivileged users to set the qubit state to |2 or |3$>$. By breaking the abstraction of a two-level system, the new higher-energy state attack can be deployed to affect the operation of circuits or for covert communication between circuits. This work shows that common reset protocols are ineffective in resetting a qubit from a higher-energy state. To provide a defense, this work proposes a new Cascading Secure Reset (CSR) operation. CSR, without hardware modifications, is able to efficiently and reliably reset higher-energy states back to |0$>$. CSR achieves a reduction in |3$>$ -initialized state leakage channel capacity by between 1 and 2 orders of magnitude, and does so with a 25x speedup compared with the default decoherence reset.

Type
Publication
ACM SIGSAC Conference on Computer and Communications Security (CCS)
Chuanqi Xu
Chuanqi Xu
Ph.D. Student

I am a PhD candidate at Yale University. My current research focuses on quantum computing and computer security, where I design novel attacks and defenses targeting quantum computers and quantum cloud providers. Specifically, my work explores security and privacy across the entire technology stack of quantum computers:

  1. Investigating vulnerabilities in quantum processors and qubit technologies.
  2. Developing secure and private quantum computer systems and architecture.
  3. Ensuring the security of quantum algorithms, with a focus on quantum machine learning (QML).

Previously, I worked on RTL design (Verilog) for FPGAs, implementing Post-Quantum Cryptography (PQC) that is secure to both classical and quantum computer attacks.

I am actively seeking roles as a research scientist, software engineer, and quant researcher. I am broadly interested in developing systems and infrastructure, especially for ML/GenAI infrastructure and systems.