7 papers
GeneCS: Synthesizing Resource-Efficient Code Surgery for Arbitrary Quantum Stabilizer Codes
Junyu Zhou, Ali Javadi-Abhari, Gushu Li
Efficiently realizing logical operations on general stabilizer codes remains a long-standing challenge in fault tolerant quantum computing. While code surgery provides a general fr…
TopoLS: Lattice Surgery Compilation via Topological Program Transformations
Junyu Zhou, Yuhao Liu, Ethan Decker +5
Lattice surgery is a leading approach for implementing fault-tolerant logical operations in surface code quantum computing, but compiling efficient lattice surgery layouts remains…
AlphaSyndrome: Tackling the Syndrome Measurement Circuit Scheduling Problem for QEC Codes
Yuhao Liu, Shuohao Ping, Junyu Zhou +8
Quantum error correction (QEC) is essential for scalable quantum computing, yet repeated syndrome-measurement cycles dominate its spacetime and hardware cost. Although stabilizers…
F2: Offline Reinforcement Learning for Hamiltonian Simulation via Free-Fermionic Subroutine Compilation
Ethan Decker, Christopher Watson, Junyu Zhou +5
Compiling shallow and accurate quantum circuits for Hamiltonian simulation remains challenging due to hardware constraints and the combinatorial complexity of minimizing gate count…
Kernpiler: Compiler Optimization for Quantum Hamiltonian Simulation with Partial Trotterization
Ethan Decker, Lucas Goetz, Evan McKinney +9
Quantum computing promises transformative impacts in simulating Hamiltonian dynamics, essential for studying physical systems inaccessible by classical computing. However, existing…
NeuroQD: A Learning-Based Simulation Framework For Quantum Dot Devices
Shize Che, Junyu Zhou, Seong Woo Oh +6
Electron spin qubits in quantum dot devices are promising for scalable quantum computing. However, architectural support is currently hindered by the lack of realistic and performa…