3 papers
quant-ph2026
DeepQuantum: A PyTorch-based Software Platform for Quantum Machine Learning and Photonic Quantum Computing
Jun-Jie He, Ke-Ming Hu, Yu-Ze Zhu +12
We introduce DeepQuantum, an open-source, PyTorch-based software platform for quantum machine learning and photonic quantum computing. This AI-enhanced framework enables efficient…
quant-ph2025
A Novel Solver for QUBO Problems: Performance Analysis and Comparative Study with State-of-the-Art Algorithms
Jiecheng Yang, Ding Wang, Xiang Zhao +3
Quadratic Unconstrained Binary Optimization (QUBO) provides a versatile framework for representing NP-hard combinatorial problems, yet existing solvers often face trade-offs among…
quant-ph2025
Co-designed Quantum Discrete Adiabatic Linear System Solver Via Dynamic Circuits
Boxuan Ai, Shuo He, Xiang Zhao +7
Existing quantum discrete adiabatic approaches are hindered by circuit depth that increases linearly with the number of evolution steps, a significant challenge for current quantum…