Quantum Computing
Department of Computer Science, Stony Brook University
Department of Computer Science, Stony Brook University
Group leader: Dr. Nengkun Yu
Associate Professor, SUNY Empire Innovation Scholar
Email: firstname.lastname@cs.stonybrook.edu
Research interests: Distributed Quantum Computing, Quantum Programming, Quantum Tomography
Xuan Du Trinh
Email: xtrinh[at]cs.stonybrook.edu
Tianrun Zhao
Email: tianruzhao[at]cs.stonybrook.edu
News:
Prof. Yu is serving as PC of QIP 2026, ISCA 2026, OOPSLA 2026, EuroSys 2026, ASPLOS 2026.
Angie Huang - our intern in summer 2025 - is going to start her undergraduate journey at Havard in Fall 2026! She is named among the top 300 Scholars of the 85th Regeneron Science Talent Search in 2025.
Publications:
April 2026. Accepted to ICDCS 2026 - Rethinking Quantum Network Design using a Verification-Based Quantum Transmission Protocol
Congratulations Du!
April 2026. Accepted to CAV 2026 - How Many Circuit Identities Are Needed to Generate All Others?
We provide strong evidence that a small set of independent identities suffices to generate all bounded-depth circuit equivalences. For Clifford+T circuits up to 9 qubits and depth 10, fewer than 20 identities suffice; for up to 5 qubits and depth 10, just 17 identities—each involving at most 3 qubits—are sufficient.
April 2026. Accepted to PLDI 2026 - SAQR-QC: A Logic for Scalable but Approximate Quantitative Reasoning about Quantum Circuits
We present a logic for reasoning in such settings, called SAQR-QC. The logic supports {S}calable but {A}pproximate {Q}uantitative {R}easoning about {Q}uantum {C}ircuits.
January 2026. Accepted to STOC 2026 - Approximation does not help in unitary time-reversal
[2507.05736] Approximation does not help in quantum unitary time-reversal
We show that approximation does not reduce the query complexity of quantum unitary time-reversal: any implementation of $U^{-1}$ up to error $\epsilon$ requires at least $(1-\epsilon)d^2$ queries to $U$.
November 2025. Accepted to QIP 2026 - Pauli tomography at your fingertips.
[2507.22001] Pauli Measurements Are Near-Optimal for Single-Qubit Tomography
We show that $10^n$ samples are both necessary and sufficient for $n$-qubit state tomography, up to a $\sqrt{n}$ factor.
August 2025. Accepted to QUANTUM journal - Adaptivity is not helpful for Pauli channel learning
We prove that adaptivity does not offer any additional advantage (compared to non-adaptive strategies) in learning and testing Pauli channel if entangled resources are available.
August 2025. Accepted to OOPSLA25: Scalable Equivalence Checking and Verification of Shallow Quantum Circuits
This paper address the problem of checking if two shallow (i.e., constant-depth) quantum circuits are equivalent using efficient their classical description.
Accepted to IEEE Transactions on Information Theory - Optimal Tomography of Quantum Markov Chains via Continuity of Petz Recovery States
Published in STOC 2025 — Pauli Measurements Are Not Optimal for Single-Copy Tomography
We show that Pauli measurements, while popular in practice, are not optimal for single-copy quantum state tomography, and we characterize the gap between Pauli and optimal measurements.
Accepted to IEEE Transactions on Information Theory (TIT) — Quantum Max-Flow Min-Cut Theorem
This paper establishes a quantum analog of the classical max-flow min-cut theorem, with implications for quantum network theory and communication complexity.
Published in Information and Computation — Quantum Temporal Logic and Reachability Problems of Matrix Semigroups
Science Direct We develop a temporal logic framework for reasoning about quantum systems and analyze the complexity of reachability problems in matrix semigroups.