5 papers
Tensor Network Assisted Distributed Variational Quantum Algorithm for Large Scale Combinatorial Optimization Problem
Yuhan Huang, Siyuan Jin, Yichi Zhang +3
Although quantum computing holds promise for solving Combinatorial Optimization Problems (COPs), the limited qubit capacity of NISQ hardware makes large-scale instances intractable…
Digital adiabatic evolution is universally accurate
Yangyu Lu, Yifei Huang, Dong An +3
Adiabatic evolution is a central paradigm in quantum physics. Digital simulations of adiabatic processes are generally viewed as costly, since algorithmic errors typically accumula…
Efficient Preparation of Quantum States via Randomized Truncation
Yue Wang, Xiao-Ming Zhang, Xiao Yuan +1
While the preparation of a general quantum state is challenging, realistic problem instances, such as those encountered in quantum chemistry and quantum machine learning-typically…
Trotterization, Operator Scrambling, and Entanglement
Tianfeng Feng, Yue Cao, Qi Zhao
Operator scrambling, which governs the spread of quantum information in many-body systems, is a central concept in both condensed matter and high-energy physics. Accurately capturi…
Two measurement bases are asymptotically informationally complete for any pure state tomography
Tianfeng Feng, Tianqi Xiao, Yu Wang +6
One of the fundamental questions in quantum information theory is to find how many measurement bases are required to obtain the full information of a quantum state. While a minimum…