6 papers
A reduction scheme for general-order Ising-like Hamiltonians in quantum heuristic solvers
Chengsi Mao, Pavel Mosharev, Yao Wang +1
The Ising model is ubiquitous in various optimization problems but notoriously difficult to solve due to combinatorial explosion. In view of this, Hamiltonian reduction is a useful…
Multi-Objective Optimization by Quantum-Annealing-Inspired Algorithms
Xian-Zhe Tao, Pavel Mosharev, Man-Hong Yung
Combinatorial optimization is widely regarded as a primary application for near-term quantum processors, although a definitive demonstration of the practical quantum advantage rema…
QHap: Quantum-Inspired Haplotype Phasing
Rui Zhang, Xian-Zhe Tao, Yibo Chen +12
Haplotype phasing, the process of resolving parental allele inheritance patterns in diploid genomes, is critical for precision medicine and population genetics, yet the underlying…
Quantum-annealing-inspired algorithms for multijet clustering
Hideki Okawa, Xian-Zhe Tao, Qing-Guo Zeng +1
Jet clustering or reconstruction is a crucial component at high energy colliders, a procedure to identify sprays of collimated particles originating from the fragmentation and hadr…
High-Order Modulation Large MIMO Detector Based on Physics-Inspired Methods
Qing-Guo Zeng, Xiao-Peng Cui, Xian-Zhe Tao +4
Applying quantum annealing or current quantum-/physics-inspired algorithms for MIMO detection always abandon the direct gray-coded bit-to-symbol mapping in order to obtain Ising fo…
Quantum-Annealing-Inspired Algorithms for Track Reconstruction at High-Energy Colliders
Hideki Okawa, Qing-Guo Zeng, Xian-Zhe Tao +1
Charged particle reconstruction or track reconstruction is one of the most crucial components of pattern recognition in high-energy collider physics. It is known to entail enormous…