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Recent News Archive

First page of the JCTC HiUCCSD paper
New Journal Paper

Hamiltonian-Informed Point Group Symmetry-Respecting Ansätze for the Variational Quantum Eigensolver

Our article is now available online in Journal of Chemical Theory and Computation, presenting HiUCCSD, a Hamiltonian-informed and symmetry-respecting ansatz for molecular VQE calculations.

First page of the QSeqSim FM 2026 paper
New Conference Paper

QSeqSim: A Symbolic Simulator for Qiskit While Loops Using Sequential Quantum Circuits

Our FM 2026 long tool paper introduces QSeqSim, a symbolic simulator for Qiskit while loops based on sequential quantum circuits.

First page of the JCTC ADAPT-VQE paper
New Journal Paper

Constructing Compact ADAPT Unitary Coupled-Cluster Ansatz with Parameter-Based Criterion

Our article is now available online in Journal of Chemical Theory and Computation, presenting a parameter-based criterion for compact ADAPT-UCC ansatz construction.

Cover of Quantum Robustness in Artificial Intelligence
New Book Chapter

Quantum Robustness in Artificial Intelligence

Our chapter on adversarial robustness in quantum machine learning is now officially available in Springer’s Quantum Robustness in Artificial Intelligence: Principles and Applications.

In collaboration with USTC, we experimentally evaluated the adversarial robustness of 20-qubit quantum neural networks on the Wukong superconducting quantum computer. The study includes training, adversarial attacks, adversarial learning, and robustness certification on both classical and quantum datasets. Results show that QNNs possess intrinsic robustness advantages, and adversarial training significantly enhances their resilience. Our experiments also validate the tightness of theoretical fidelity-based robustness bounds.