27 citations · 60 across the 8 of their papers we have counts for
9 papers
Feedback-Induced Dynamical Phases in a Self-Adaptive Quantum Kicked Rotor
Pan Gao, Zheng-Wei Zhou, Guang-Can Guo +1
We introduce a self-adaptive Floquet system based on a quantum kicked rotor, in which the kicking strength itself becomes a dynamical variable generated self-consistently through c…
QuantiSpect: A Structure-Aware Lightweight 3D CNN Pre-Decoder for Scalable Surface Code Quantum Error Correction
Pan Gao, Xu-Sheng Xu, Ji-Ze Han +6
Real-time decoding is a critical bottleneck for large-scale fault-tolerant quantum computing. AI-based neural pre-decoders locally correct most physical errors before passing resid…
The Riemann Hypothesis Emerges in Dynamical Quantum Phase Transitions
ShiJie Wei, Yue Zhai, Quanfeng Lu +7
The Riemann Hypothesis (RH), one of the most profound unsolved problems in mathematics, concerns the nontrivial zeros of the Riemann zeta function. Establishing connections between…
Evidence of scaling advantage on an NP-Complete problem with enhanced quantum solvers
Quanfeng Lu, Shijie Wei, Keren Li +6
Achieving quantum advantage remains a key milestone in the noisy intermediate-scale quantum era. Without rigorous complexity proofs, scaling advantage-where quantum resource requir…
Learning Parameterized Quantum Circuits with Quantum Gradient
Keren Li, Yuanfeng Wang, Pan Gao +1
Parameterized quantum circuits (PQCs) are crucial for quantum machine learning and circuit synthesis, enabling the practical implementation of complex quantum tasks. However, PQC l…
Quantum Resonant Dimensionality Reduction and Its Application in Quantum Machine Learning
Fan Yang, Furong Wang, Xusheng Xu +4
Quantum computing is a promising candidate for accelerating machine learning tasks. Limited by the control accuracy of current quantum hardware, reducing the consumption of quantum…
Self-organized Limit Cycles in Red-detuned Atom-cavity Systems
Pan Gao, Zheng-Wei Zhou, Guang-Can Guo +1
Recent experimental advances in the field of cold-atom cavity QED provide a powerful tool for exploring non-equilibrium correlated quantum phenomena beyond conventional condensed-m…
Quantum Gradient Algorithm for General Polynomials
Keren Li, Pan Gao, Shijie Wei +2
Gradient-based algorithms, popular strategies to optimization problems, are essential for many modern machine-learning techniques. Theoretically, extreme points of certain cost fun…
Optimizing a Polynomial Function on a Quantum Simulator
Keren Li, Shijie Wei, Feihao Zhang +5
Gradient descent method, as one of the major methods in numerical optimization, is the key ingredient in many machine learning algorithms. As one of the most fundamental way to sol…