3 papers
quant-ph2026
Characterization of Unlearnable Noise with Mid-Circuit-Measurement-Based Cycle Benchmarking
M. H. Cheng, Stefano Mangini, V. Bartsch +4
Noise characterization of multi-qubit entangling Clifford operations is a key practical bottleneck for quantum error mitigation and for the calibration, validation, and optimizatio…
quant-ph2025
Optimal Particle-Conserved Linear Encoding for Practical Fermionic Simulation
M. H. Cheng, Yu-Cheng Chen, Qian Wang +4
Number-conserved subspace encoding reduces resources needed for quantum simulations, but scalable complexity trade-off bounds for modes and particles with $\mathcal{O}(N\lo…
quant-ph2025
Neural Network Assisted Fermionic Compression Encoding: A Lossy-QSCI Framework for Resource-Efficient Ground-State Simulations
Yu-cheng Chen, Ronin Wu, M. H. Cheng +1
Quantum computing promises to revolutionize many-body simulations for quantum chemistry, but its potential is constrained by limited qubits and noise in current devices. In this wo…