19 citations · 42 across the 4 of their papers we have counts for
4 papers
Enabling High Performance Debugging for Variational Quantum Algorithms using Compressed Sensing
Kun Liu, Tianyi Hao, Swamit Tannu
Variational quantum algorithms (VQAs) can potentially solve practical problems using contemporary Noisy Intermediate Scale Quantum (NISQ) computers. VQAs find near-optimal solution…
Exploiting In-Constraint Energy in Constrained Variational Quantum Optimization
Tianyi Hao, Ruslan Shaydulin, Marco Pistoia +1
A central challenge of applying near-term quantum optimization algorithms to industrially relevant problems is the need to incorporate complex constraints. In general, such constra…
A quantum-inspired tensor network method for constrained combinatorial optimization problems
Tianyi Hao, Xuxin Huang, Chunjing Jia +1
Combinatorial optimization is of general interest for both theoretical study and real-world applications. Fast-developing quantum algorithms provide a different perspective on solv…
Efficient 2D Tensor Network Simulation of Quantum Systems
Yuchen Pang, Tianyi Hao, Annika Dugad +2
Simulation of quantum systems is challenging due to the exponential size of the state space. Tensor networks provide a systematically improvable approximation for quantum states. 2…