Yong Siah Teo

Seoul National University — South Korea

Computer Science · Physical Sciences

19h-index939citations84works8.92yr avg
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Research Topics

Quantum Information and Cryptography(65), Quantum Mechanics and Applications(34), Quantum Computing Algorithms and Architecture(31), Sparse and Compressive Sensing Techniques(14), Neural Networks and Reservoir Computing(10)

Publications84 total

Photonic hybrid quantum computing
Newton·2025Open Access
Ballistic bosonic noise suppression with hybrid qumode-qubit rotation gates
arXiv (Cornell University)·2025Open Access
Resource-efficient shadow tomography using equatorial stabilizer measurements
Physical Review Research·2025· 1 citedOpen Access
Linear-optical protocols for mitigating and suppressing noise in bosonic systems
Quantum Science and Technology·2025Open Access
Scaling and networking a modular photonic quantum computer
Nature·2025· 102 citedOpen Access
Bosonic Noise Mitigation and Suppression Using Linear Optics
2025
Evidence-Based Quantum-Information Processing: Applications on Photonic Quantum Systems
2024
Evidence-Based Certification of Quantum Dimensions
Physical Review Letters·2024· 6 citedOpen Access
Relative-belief inference in quantum information theory
Physical review. A/Physical review, A·2024· 1 citedOpen Access
Relative-belief inference in quantum information theory
arXiv (Cornell University)·2024Open Access
Dequantizing quantum machine learning models using tensor networks
Physical Review Research·2024· 18 citedOpen Access
Error suppression in multicomponent cat codes with photon subtraction and teleamplification
Optics Express·2024· 4 citedOpen Access
Robustness of optimized numerical estimation schemes for noisy variational quantum algorithms
Physical review. A/Physical review, A·2024· 1 cited
Error suppression in multicomponent cat codes with photon subtraction and teleamplification
arXiv (Cornell University)·2024Open Access
Evidence-based certification of quantum dimensions
arXiv (Cornell University)·2024Open Access
Resource-efficient shadow tomography using equatorial stabilizer measurements
arXiv (Cornell University)·2023Open Access
Robustness of optimized numerical estimation schemes for noisy variational quantum algorithms
arXiv (Cornell University)·2023Open Access
Dequantizing quantum machine learning models using tensor networks
arXiv (Cornell University)·2023Open Access
Parity-encoding-based quantum computing with Bayesian error tracking
npj Quantum Information·2023· 9 citedOpen Access
Optimized numerical gradient and Hessian estimation for variational quantum algorithms
Physical review. A/Physical review, A·2023· 2 cited
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Frequent Co-authors

Hyunseok Jeong(27), L. L. Sánchez-Soto(17), J. Řeháček(16), Z. Hradil(16), Berthold‐Georg Englert(10), Gerd Leuchs(8), S. Omkar(5), Seongwook Shin(5), Christine Silberhorn(5), Huangjun Zhu(4), Seok-Hyung Lee(4), Benjamin Brecht(4), D. Mogilevtsev(4), Dae‐Ro Ahn(3), Dominik Koutný(3), Seung-Woo Lee(3), G. I. Struchalin(3), E. V. Kovlakov(3), S. S. Straupe(3), S. P. Kulik(3)