Jack Spilecki

I am an Australian-American PhD student at UC Berkeley, fortunate to be advised by John Wright, and broadly interested in quantum information and computation. Recently, I’ve been working on quantum learning theory, and related topics. I studied physics and mathematics as an undergraduate at MIT.

Papers

• Optimal cloning of mixed states
  Marco Fanizza, Dmitry Grinko, Thilo Scharnhorst, Jack Spilecki
  Manuscript
• The Keyl-Werner algorithm is not optimal for spectrum estimation
  Angelos Pelecanos, Jack Spilecki, Ewin Tang, John Wright
  FOCS 2026
• Nonasymptotic bounds for quantum purity amplification
  Thilo Scharnhorst, Jack Spilecki, John Wright
  Manuscript
• Mixed state tomography reduces to pure state tomography
  Angelos Pelecanos, Jack Spilecki, Ewin Tang, John Wright
  FOCS 2026
• Optimal lower bounds for quantum state tomography
  Thilo Scharnhorst, Jack Spilecki, John Wright
  QIP 2026
• The debiased Keyl’s algorithm: a new unbiased estimator for full state tomography
  Angelos Pelecanos, Jack Spilecki, John Wright
  QIP 2026, STOC 2026