Sabee Grewal
I'm a Goldstine Fellow at IBM Research and a postdoc at Columbia University, where I'm hosted by Henry Yuen.
Before that, I got my PhD at UT Austin, advised by Scott Aaronson. During my PhD, I interned at IBM Research in 2024 and Google Quantum AI in 2026, and was supported by an IBM PhD Fellowship in 2024.
Research
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QMA has perfect completeness
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A quantum oracle separation between QMA(2) and QMA
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No low-degree tests for quantum states
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Nearly Time-Optimal Pure State Tomography with Pauli Measurements
FOCS '26
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On the Pure Quantum Polynomial Hierarchy and Quantified Hamiltonian Complexity
ICALP '26, TQC 2026
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Efficient Learning of Structured Quantum Circuits via Pauli Dimensionality and Sparsity
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Unentanglement and Post-Measurement Branching in Quantum Interactive Proofs
TQC '26
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Demonstrating an Unconditional Separation Between Quantum and Classical Information Resources
Coverage: Popular Mechanics, NewScientist, Gizmodo, Phys.org, Quantum Insider, Shtetl-Optimized
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Computability Theory of Closed Timelike Curves
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Improved Circuit Lower Bounds and Quantum-Classical Separations
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Agnostic Tomography of Stabilizer Product States
Quantum (2026)
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Pseudoentanglement ain't cheap: Lower bounds on the non-Clifford cost of pseudoentanglement
Physical Review A (2026), TQC '24
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PDQMA = DQMA = NEXP: QMA With Hidden Variables and Non-collapsing Measurements
FSTTCS '25
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The Entangled Quantum Polynomial Hierarchy Collapses
CCC '24
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Efficient Learning of Quantum States Prepared With Few Non-Clifford Gates
Quantum (2025), QIP '24
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Improved Stabilizer Estimation via Bell Difference Sampling
STOC '24, QIP '24
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Efficient Tomography of Non-Interacting Fermion States
TQC '23
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Low-Stabilizer-Complexity Quantum States Are Not Pseudorandom
ITCS '23
Best Student Paper Award
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Classical Shadows With Noise
Quantum (2022)