7 papers
Linear Complexity Fermionic Simulation on Quantum Devices with Hardware Connectivity Constraints
Xiangyu Gao, Winston Li, Jiakang Li +4
Simulating fermionic systems on quantum hardware requires compiling fermionic Hamiltonians into executable quantum circuits. Existing approaches treat each compilation stage indepe…
BTTackler: A Diagnosis-based Framework for Efficient Deep Learning Hyperparameter Optimization
Zhongyi Pei, Zhiyao Cen, Yipeng Huang +4
Hyperparameter optimization (HPO) is known to be costly in deep learning, especially when leveraging automated approaches. Most of the existing automated HPO methods are accuracy-b…
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…
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…
Genesis: A Compiler Framework for Hamiltonian Simulation on Hybrid CV-DV Quantum Computers
Zihan Chen, Jiakang Li, Minghao Guo +7
This paper introduces Genesis, the first compiler designed to support Hamiltonian Simulation on hybrid continuous-variable (CV) and discrete-variable (DV) quantum computing systems…
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…