3 papers
quant-ph2025
Scalable bayesian shadow tomography for quantum property estimation with set transformers
Hyunho Cha, Wonjung Kim, Jungwoo Lee
A scalable Bayesian machine learning framework is introduced for estimating scalar properties of an unknown quantum state from measurement data, which bypasses full density matrix…
quant-ph2025
Towards Optimizing the Expected Performance of Sampling-Based Quantum-Inspired Algorithms
Hyunho Cha, Jungwoo Lee
Quantum-inspired classical algorithms has received much attention due to its exponential speedup compared to existing algorithms, under certain data storage assumptions. The improv…
quant-ph2025
Efficient sampling for Pauli-measurement-based shadow tomography in direct fidelity estimation
Hyunho Cha, Jungwoo Lee
A constant number of random Clifford measurements allows the classical shadow protocol to perform direct fidelity estimation (DFE) with high precision. However, estimating properti…