Scalable Quantum Error Detection via Tensor-Network Statevector Sampling

Mon, 01 Jun 2026 00:00:00 +0000

Primary Author. Manuscript in preparation for journal submission (2026).

GPU-Accelerated Quantum Error Detection

Fri, 15 May 2026 00:00:00 +0000

GPU-Accelerated Quantum Error Detection

Overview

As quantum processors scale into the Noisy Intermediate-Scale Quantum (NISQ) era, characterization and mitigation of gate errors are essential for achieving fault-tolerant quantum computation. This research project presents a high-throughput, GPU-accelerated quantum simulation pipeline that accurately models stochastic Pauli error channels using NVIDIA cuQuantum tensor-network backends and Qiskit.

flowchart TD Q[Parameterized Quantum Circuit\n+ Noise Channels] --> T[cuQuantum Tensor Network\nStatevector Simulation] T --> G[GPU Accelerated Contraction\nNVIDIA Tensor Cores] G --> S[Statistical Sampling Algorithm\nSyndrome Measurement] S --> E[Single- & Two-Qubit\nGate Error Isolation] E --> V[QEC Verification & Mitigation]

Research & Engineering Highlights

1. High-Performance Tensor-Network Simulation

Modeled realistic quantum noise using stochastic Pauli channels ($X, Y, Z$ depolarizing noise) integrated into multi-qubit parameterized quantum circuits.
Accelerated statevector generation and tensor contractions leveraging NVIDIA cuQuantum Appliance and custom CUDA routines, achieving order-of-magnitude speedups over classical CPU simulator backends.

2. Statistical Error Syndrome Sampling

Developed a statistical sampling algorithm capable of localizing single-qubit and two-qubit entangling gate errors with minimal measurement overhead.
Reduced the syndrome extraction rounds required to verify circuit fidelity under high-depth algorithmic circuits.

3. Scalable QEC Verification

Currently drafting a journal publication formalizing this methodology as an efficient verification protocol for Quantum Error Correction (QEC) schemes on near-term hardware.

Publication Status

Scalable Quantum Error Detection via Tensor-Network Statevector Sampling (2026). In Preparation for Journal Submission. Primary Author: Zerui “Jerry” Ma.

CuQuantum | Zerui "Jerry" Ma's personal website

Scalable Quantum Error Detection via Tensor-Network Statevector Sampling

GPU-Accelerated Quantum Error Detection

GPU-Accelerated Quantum Error Detection

Overview

Research & Engineering Highlights

1. High-Performance Tensor-Network Simulation

2. Statistical Error Syndrome Sampling

3. Scalable QEC Verification

Publication Status