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Article Quantum Science & Technology

Space-efficient binary optimization for variational quantum computing

Adam Glos et al.

Summary: In the era of NISQ computers, it is important to design quantum algorithms that do not require many qubits or deep circuits. This paper demonstrates how to reduce the number of qubits needed for the Traveling Salesman Problem and proposes encoding schemes that can be efficiently implemented within the Quantum Approximate Optimization Algorithm framework.

NPJ QUANTUM INFORMATION (2022)