8 papers
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.…
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…
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…
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…
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…
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,…