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20242026
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quant-ph20261 cited

A Cyclic Layerwise QAOA Training

Enhyeok Jang, Zihan Chen, Dongho Ha +6

The quantum approximate optimization algorithm (QAOA) is a hybrid quantum-classical algorithm for solving combinatorial optimization problems. Multi-angle QAOA (MA-QAOA), which ass…

quant-ph2026

Plutarch: Toward Scalable Operational Parallelism on Racetrack-Shaped Trapped-Ion Processors

Enhyeok Jang, Hyungseok Kim, Yongju Lee +3

A recent advancement in quantum computing shows a quantum advantage of certified randomness on the racetrack processor. This work investigates the execution efficiency of this arch…

quant-ph2025

Mantra: Rewriting Quantum Programs to Minimize Trap-Movements for Zoned Rydberg Atom Arrays

Enhyeok Jang, Youngmin Kim, Hyungseok Kim +3

A zoned neutral atom architecture achieves exceptional fidelity by segregating the execution spaces of 1- and 2-qubit gates, being a promising candidate for high-accuracy quantum s…

quant-ph2025

PIMutation: Exploring the Potential of PIM Architecture for Quantum Circuit Simulation

Dongin Lee, Enhyeok Jang, Seungwoo Choi +3

Quantum circuit simulations are essential for the verification of quantum algorithms on behalf of real quantum devices. However, the memory requirements for such simulations grow e…

quant-ph2025

Balancing Thermal Relaxation Deviations of Near-Future Quantum Computing Results via Bit-Inverted Programs

Enhyeok Jang, Youngmin Kim, Jeewoo Seo +2

One of the predominant causes of program distortion in the real quantum computing system may be attributed to the probability deviation caused by thermal relaxation. We introduce B…

quant-ph2024

Distribution-Adaptive Dynamic Shot Optimization for Variational Quantum Algorithms

Youngmin Kim, Enhyeok Jang, Hyungseok Kim +6

Variational quantum algorithms (VQAs) have attracted remarkable interest over the past few years because of their potential computational advantages on near-term quantum devices. T…