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20212026
most citedQuantumNAT: Quantum Noise-Aware Training with Noise Injection, Quantization and Normalization

55 citations · 119 across the 11 of their papers we have counts for

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7 papers · 1 filter

quant-ph2025

Genesis: A Compiler Framework for Hamiltonian Simulation on Hybrid CV-DV Quantum Computers

Zihan Chen, Jiakang Li, Minghao Guo +7

This paper introduces Genesis, the first compiler designed to support Hamiltonian Simulation on hybrid continuous-variable (CV) and discrete-variable (DV) quantum computing systems…

quant-ph2024

A Case for Quantum Circuit Cutting for NISQ Applications: Impact of topology, determinism, and sparsity

Zirui Li, Minghao Guo, Mayank Barad +3

We make the case that variational algorithm ansatzes for near-term quantum computing are well-suited for the quantum circuit cutting strategy. Previous demonstrations of circuit cu…

quant-ph2024★ 1 cited

QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits

Tianlong Chen, Zhenyu Zhang, Hanrui Wang +6

Parameterized Quantum Circuits (PQC) have obtained increasing popularity thanks to their great potential for near-term Noisy Intermediate-Scale Quantum (NISQ) computers. Achieving…

quant-ph2023★ 1 cited

RobustState: Boosting Fidelity of Quantum State Preparation via Noise-Aware Variational Training

Hanrui Wang, Yilian Liu, Pengyu Liu +10

Quantum state preparation, a crucial subroutine in quantum computing, involves generating a target quantum state from initialized qubits. Arbitrary state preparation algorithms can…

quant-ph2023★ 1 cited

Tetris: A Compilation Framework for VQA Applications in Quantum Computing

Yuwei Jin, Zirui Li, Fei Hua +4

Quantum computing has shown promise in solving complex problems by leveraging the principles of superposition and entanglement. Variational quantum algorithms (VQA) are a class of…

quant-ph2022★ 17 cited

QuEst: Graph Transformer for Quantum Circuit Reliability Estimation

Hanrui Wang, Pengyu Liu, Jinglei Cheng +10

Among different quantum algorithms, PQC for QML show promises on near-term devices. To facilitate the QML and PQC research, a recent python library called TorchQuantum has been rel…

quant-ph2022★ 41 cited

QOC: Quantum On-Chip Training with Parameter Shift and Gradient Pruning

Hanrui Wang, Zirui Li, Jiaqi Gu +3

Parameterized Quantum Circuits (PQC) are drawing increasing research interest thanks to its potential to achieve quantum advantages on near-term Noisy Intermediate Scale Quantum (N…