collaborators

15 papers

quant-ph2026

Stabilizer Statistical Mechanics: A Framework for Efficient Quantification and Classification of Magic States

William E. Salazar, Gaurav Saxena, Jack S. Baker +2

The partition function is statistical mechanics' answer to an exponentially large spectrum, distilling it into a single analytic object whose temperature dependence resolves the fu…

quant-ph2026

Continuous-variable state moments from randomized homodyne and heterodyne measurements

Michael Tsesmelis, Moritz Straeter, Leong-Chuan Kwek

Continuous-variable (CV) quantum states are naturally characterized by their moments, defined as expectation values of products of single- or multimode ladder operators. Many CV Ha…

quant-ph2026

Pauli Weight Hamiltonian Term Selection for Optimized Machine Learning Based Quantum Error Mitigation

Fadhil Fatih Shiddiq, Darell Timothy Tarigan, Hadyan Luthfan Prihadi +4

Machine learning provides a scalable solution for quantum error mitigation. However, the selection of appropriate Pauli strings for inclusion in training data remains a challenge.…

quant-ph2026

Detecting entanglement of non-Gaussian continuous-variable states from single-copy homodyne measurements

Moritz Straeter, Michael Tsesmelis, Leong-Chuan Kwek

The entanglement of Gaussian continuous-variable (CV) states is fully determined by the state's second moments. In contrast, some entangled non-Gaussian states evade every second-m…

cond-mat.dis-nn2026

Enhanced Density Fluctuations Near a Disordered Chiral Topological Transition

Hai-Tao Ding, Sen Mu, Leong-Chuan Kwek +2

The universal statistics of density fluctuations of localized quantum states may offer unprecedented opportunities to probe and understand quantum transport in connection with dime…

quant-ph2026

Photonic-Implemented Efficient Deep Quantum Neural Network via Virtual-Driven Hilbert Space Expansion

Haoran Ma, Huihui Zhu, Zichao Zhao +10

The growing computational demands of classical neural networks have intensified the search for energy-efficient and powerful computational alternatives. Quantum neural networks (QN…