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Koh Enshan Dax

KOH Enshan Dax

Adjunct Assistant Professor

Quantum Computation

EMAIL
dax_koh
sutd.edu.sg
RESEARCH AREAS
Physics
Mathematics

Biography

Dr Koh Enshan Dax is an Adjunct Assistant Professor at SUTD and a Senior Scientist at the (IHPC) under the (A*STAR), Singapore. He is also an Investigator at the and an Editor at the journal .

Previously, Dr Koh was a Z-Fellowship Postdoctoral Researcher at Zapata Computing (now ) in Boston, MA, USA. Dr Koh was a recipient of A*STAR’s National Science Scholarship (NSS BS-PhD) and the A*STAR Science and Engineering Research Council (SERC) Central Research Fund (CRF) Award for Use-Inspired Basic Research.

Dr Koh received the B.S. degree in Mathematics and Physics from (Stanford, CA, USA); the M.Sc. degree in Physics from the (Waterloo, ON, Canada) in conjunction with the certificate from the (Waterloo, ON, Canada); and the Ph.D. degree in Mathematics from the (Cambridge, MA, USA).

Education
  • Ph.D., Mathematics,, USA (2019)
  • M.Sc., Physics,,and, Canada (2013)
  • B.S., Mathematics and Physics –double major,, USA (2011)
Awards
  • Awarded, IOP Publishing (2023).
  • Central Research Fund Award, A*STAR Science and Engineering Research Council (2022).
  • National Science Scholarship (PhD), A*STAR (2013).
  • Chairman’s Honours List, A*STAR (2011).
  • National Science Scholarship (BS), A*STAR (2006).
Research Interests

Quantum computation, quantum algorithms, quantum complexity theory, classical simulation of quantum computation, and quantum foundations

Selected Publications
  • Fong Yew Leong, Dax Enshan Koh, Jian Feng Kong, Siong Thye Goh, Jun Yong Khoo, Wei-Bin Ewe, Hongying Li, Jayne Thompson, and Dario Poletti, “Solving fractional differential equations on a quantum computer: A variational approach.”(2024).
  • Kaifeng Bu, Roy J. Garcia, Arthur Jaffe, Dax Enshan Koh, and Lu Li, “Complexity of Quantum Circuits via Sensitivity, Magic, and Coherence.”(2024).
  • Bujiao Wu and Dax Enshan Koh, “Error-mitigated fermionic classical shadows on noisy quantum devices.”(2024).
  • V. Vijendran, Aritra Das, Dax Enshan Koh, Syed M. Assad, and Ping Koy Lam, “An expressive ansatz for low-depth quantum approximate optimisation.”(2024).
  • Kaifeng Bu, Dax Enshan Koh, Roy J. Garcia, and Arthur Jaffe, “Classical shadows with Pauli-invariant unitary ensembles.”(2024).
  • Fong Yew Leong, Dax Enshan Koh, Wei-Bin Ewe, and Jian Feng Kong, “Variational quantum simulation of partial differential equations: applications in colloidal transport.”(2023).
  • Kaifeng Bu, Dax Enshan Koh, Lu Li, Qingxian Luo, and Yaobo Zhang, “Effects of quantum resources and noise on the statistical complexity of quantum circuits.”(2023).
  • Amara Katabarwa, Sukin Sim, Dax Enshan Koh, and Pierre-Luc Dallaire-Demers, “Connecting geometry and performance of two-qubit parameterized quantum circuits.”(2022).
  • Dax Enshan Koh and Sabee Grewal, “Classical Shadows with Noise.”(2022).
  • Fong Yew Leong, Wei-Bin Ewe, and Dax Enshan Koh, “Variational quantum evolution equation solver.”(2022).
  • Kaifeng Bu, Dax Enshan Koh, Lu Li, Qingxian Luo, and Yaobo Zhang, “Statistical complexity of quantum circuits.”(2022).
  • Dax Enshan Koh, Guoming Wang, Peter D. Johnson, and Yudong Cao, “Foundations for Bayesian inference with engineered likelihood functions for robust amplitude estimation.”(2022).
  • Wei-Bin Ewe, Dax Enshan Koh, Siong Thye Goh, Hong-Son Chu, and Ching Eng Png, “Variational Quantum-Based Simulation of Waveguide Modes.”(2022).
  • Kaifeng Bu and Dax Enshan Koh, “Classical Simulation of Quantum Circuits by Half Gauss Sums.”(2022).
  • Guoming Wang, Dax Enshan Koh, Peter D. Johnson, and Yudong Cao, “Minimizing Estimation Runtime on Noisy Quantum Computers.”(2021).
  • Alexander M. Dalzell, Aram W. Harrow, Dax Enshan Koh, and Rolando L. La Placa, “How many qubits are needed for quantum computational supremacy?”(2020).
  • Jacob D. Biamonte, Mauro E. S. Morales, and Dax Enshan Koh, “Entanglement scaling in quantum advantage benchmarks.”(2020).
  • Kaifeng Bu and Dax Enshan Koh, “Efficient Classical Simulation of Clifford Circuits with Nonstabilizer Input States.”(2019).
  • Adam Bouland, Joseph F. Fitzsimons, and Dax Enshan Koh, “Complexity Classification of Conjugated Clifford Circuits.”(2018).
  • Dax Enshan Koh, Murphy Yuezhen Niu, and Theodore J. Yoder, “Quantum simulation from the bottom up: the case of rebits.”(2018).
  • Dax Enshan Koh, Mark D. Penney, and Robert W. Spekkens, “Computing quopit Clifford circuit amplitudes by the sum-over-paths technique.”(2017).
  • Mark D. Penney, Dax Enshan Koh, and Robert W. Spekkens, “Quantum circuit dynamics via path integrals: Is there a classical action for discrete-time paths?”(2017).
  • Dax Enshan Koh, “Further extensions of Clifford circuits and their classical simulation complexities.”(2017).
  • Zi-Wen Liu, Christopher Perry, Yechao Zhu, Dax Enshan Koh, and Scott Aaronson, “Doubly infinite separation of quantum information and communication.”(2016).
  • Dax Enshan Koh, Michael J. W. Hall, Setiawan, James E. Pope, Chiara Marletto, Alastair Kay, Valerio Scarani, and Artur Ekert, “Effects of Reduced Measurement Independence on Bell-Based Randomness Expansion.”(2012).
  • M. J. Ma, M. B. A. Jalil, S. G. Tan, and D. E. Koh, “Spin-flip assisted tunneling through quantum dot based magnetic tunnel junctions.”(2011).
  • Jie Guo, Seng Ghee Tan, Mansoor Bin Abdul Jalil, Dax Enshan Koh, Guchang Han, and Hao Meng, “Self-consistent treatment of spin and magnetization dynamic effect in spin transfer switching.”(2011).
  • Seng Ghee Tan, Mansoor Bin Abdul Jalil, Dax Enshan Koh, and Hwee Kuan Lee, “Pseudospin-orbital coupling for pseudospintronic device in graphene.”(2010).