collaborators

11 papers

quant-ph2026

Auditing Structured Randomness for Quantum Error Correction under a Bounded Cloud Fault Model

Ziqing Guo, Anthony Lawrence, Renyu Wang +2

Cloud quantum processors compile submitted quantum error correction circuits and may colocate them with untrusted workloads. A fixed public encoder gives a fault-injection adversar…

quant-ph2026

Measurement and reload costs in direct quantum simulation of nonlinear waves

Ziqing Guo, Viraj Dsouza, Alex Khan +3

Quantum processors encode an N-point field in log_2(N) qubits, which renders nonlinear wave equations an important application for quantum simulation. Nonlinear evolution, however,…

quant-ph2026

RubriQ: Rubric-Guided Group Relative Policy Optimization for Constraint-Aware Quantum Circuit Synthesis

Ziqing Guo, Ziwen Pan

Designing fault-tolerant quantum circuits that are both algorithmically correct and hardware compatible remains a major bottleneck in the transition to scalable quantum computing.…

quant-ph2026

NNQA: Neural-Native Quantum Arithmetic for End-to-End Polynomial Synthesis

Ziqing Guo, Jie Li, Yong Chen +1

Hybrid classical quantum learning is often bottlenecked by communication overhead and approximation error from generic variational ansatzes. In this study, we introduce Neural Nati…

quant-ph2025

Quantum Data Representation via Circuit Partitioning and Reintegration

Ziqing Guo, Jan Balewski, Kewen Xiao +1

Quantum data encoding (QDE) enables faster com-putations than classical algorithms through superposition and en-tanglement. Circuit cutting and knitting are effective techniques fo…

quant-ph2025

Quantum Approximate Walk Algorithm

Ziqing Guo, Jan Balewski, Wenshuo Hu +2

The encoding of classical to quantum data mapping through trigonometric functions within arithmetic-based quantum computation algorithms leads to the exploitation of multivariate d…

quant-ph2025

Vectorized Attention with Learnable Encoding for Quantum Transformer

Ziqing Guo, Ziwen Pan, Alex Khan +1

Vectorized quantum block encoding provides a way to embed classical data into Hilbert space, offering a pathway for quantum models, such as Quantum Transformers (QT), that replace…

cond-mat.str-el2025

Correlation-Driven -Wave Superconducting Dome from Pseudogap Spectral Reconstruction

Yue Yuan, Ziwen Pan, F. Yang

Previous theoretical studies [Nat. Phys. {\bf 16}, 1175 (2020)] based on the Hatsugai-Kohmoto model have examined the stability of -wave superconductivity in strongly correlated…

quant-ph2025

Quantum parallel information exchange (QPIE) hybrid network with transfer learning

Ziqing Guo, Alex Khan, Victor S. Sheng +2

Quantum machine learning (QML) has emerged as an innovative framework with the potential to uncover complex patterns by leveraging quantum systems ability to simulate and exploit h…

quant-ph2025

Direct entanglement ansatz learning (DEAL) with ZNE on error-prone superconducting qubits

Ziqing Guo, Steven Rayan, Wenshuo Hu +1

Quantum combinatorial optimization algorithms typically face challenges due to complex optimization landscapes featuring numerous local minima, exponentially scaling latent spaces,…

quant-ph2025

Q-GEAR: Improving quantum simulation framework

Ziqing Guo, Ziwen Pan, Jan Balewski

Fast execution of complex quantum circuit simulations are crucial for verification of theoretical algorithms paving the way for their successful execution on the quantum hardware.…