Zack Hassman

Zachary A. Hassman

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About

I am a recent graduate of the University of Chicago interested in mathematics, statistics, and computer science.

Publications and Manuscripts

• Enhancing Chemistry on Quantum Computers with Fermionic Linear Optical Simulation
  Zack Hassman, Oliver Reardon-Smith, Gokul Subramanian Ravi, Frederic T. Chong, Kevin J. Sung
  IEEE International Conference on Quantum Computing and Engineering (QCE) 2026
  [paper] [package]

• SONIQ: System-Optimized Noise-Injected Ultra-Low-Precision Quantization with Full-Precision Parity
  Cyrus Zhou, Pedro Savarese, Zack Hassman, Vaughn Richard, Michael DiBrino, Michael Maire, Yanjing Li
  Manuscript
  [paper]

• YFlows: Systematic Dataflow Exploration and Code Generation for Efficient Neural Network Inference using SIMD Architectures on CPUs
  Cyrus Zhou, Zack Hassman, Dhirpal Shah, Vaughn Richard, Yanjing Li
  International Conference on Compiler Construction (CC) 2024
  [paper]

Other Writing

• The Gelman-Rubin Statistic and Recent Improvements
  Expository paper on modern MCMC convergence diagnostics, written as the final project for a graduate course in Monte Carlo simulation.
  [paper]

Contact

Email: zhassman [at] uchicago [dot] edu