Showing quant-phShow all
3 papers · 1 filter
quant-ph2026
Resource-Efficient Quantum Optimization via Higher-Order Encoding
Frederik Koch, Shahram Panahiyan, Rick Mukherjee +2
Quantum approaches to combinatorial optimization problems (COPs) are often limited by the resource demands of Quadratic Unconstrained Binary Optimization (QUBO) encodings, which en…
quant-ph2026
Efficient mapping of multi-constraint satisfaction problems to Rydberg platforms
Robert Gloeckner, Shahram Panahiyan, Frederik Koch +2
We present a hardware-native gadget framework for solving constraint satisfaction problems on Rydberg quantum computing architectures. Our approach introduces a compact gad…
quant-ph2026
Grover Adaptive Search with Problem-Specific State Preparation
Maximilian Hess, Lilly Palackal, Abhishek Awasthi +5
Grover's search algorithm is one of the basic building block in the world of quantum algorithms. Successfully applying it to combinatorial optimization problems is a subtle challen…