Seungwoo Choi

Seungwoo Choi

Ph.D. Candidate, Yonsei University
Quantum Software Engineer

Seungwoo Choi

About

I am a fifth-year Ph.D. candidate at the Embedded Systems and Computer Architecture Lab (eSCaL), School of Electrical and Electronic Engineering, Yonsei University, advised by Prof. Won Woo Ro.

My research interests and experience span the quantum software stack, including but not limited to:

Education & Experience

Publications

  1. HPCA ’26 3rd author

    D’ArQ: A QOC Framework with Causality-Aware Grouping and Basis Selection

    Proposed a causality-aware grouping algorithm and basis selection to optimize pulse-level quantum control.

  2. QMI ’26 4th author

    Layerwise Retraining and Freezing for Multi-Angle QAOA

    Proposed a round-robin layerwise training scheme with selective freezing for efficient Multi-Angle QAOA optimization.

  3. PRR ’25 4th author

    Distribution-Adaptive Dynamic Shot Optimization for Variational Quantum Algorithms

    Developed a history-based shot count prediction strategy to reduce VQA measurement cost.

  4. TETC ’25 1st author

    q-Point: A Numeric Format for Quantum Circuit Simulation using Polar Form Complex Numbers

    Introduced a polar-form numeric format to enhance memory efficiency in classical state-vector simulation.

  5. ISCA ’25 3rd author

    QR-Map: A Map-Based Approach to Quantum Circuit Abstraction for Qubit Reuse Optimization

    Designed a qubit reuse framework that abstracts circuits into maps to minimize the number of physical qubits required.

  6. CGO ’25 4th author

    Qubit Movement-Optimized Program Generation on Zoned Neutral Atom Processors

    Developed circuit optimization techniques to minimize qubit movements on zoned neutral atom processors.

  7. ASP-DAC ’25 3rd author

    PIMutation: Exploring the Potential of Real PIM Architecture for Quantum Circuit Simulation

    Evaluated the effectiveness of Processing-In-Memory (PIM) architectures in accelerating quantum simulation tasks.

  8. ICCD ’24 1st author

    MOSQ: Accelerating Classical Simulation of UCCSD Ansatz Circuits using Merged Operation

    Accelerated UCCSD ansatz simulation by merging operations based on Pauli evolution patterns.

  9. PACT ’24 3rd author

    Recompiling QAOA Circuits on Various Rotational Directions

    Developed a QAOA recompilation technique that changes rotation bases to reduce post-compilation gate count.

  10. ICCAD ’24 2nd author

    Barber: Balancing Thermal Relaxation Deviations of NISQ Programs by Exploiting Bit-Inverted Circuits

    Mitigated thermal relaxation errors by combining results from the original circuit and its bit-flipped counterpart.

  11. DAC ’23 2nd author

    Quixote: Improving Fidelity of Quantum Program by Independent Execution of Controlled Gates

    Improved fidelity by running controlled-gate-dependent subcircuits separately and combining measurement outcomes.

Projects

Funded industry and government research projects.

Patents

Academic Activities

Artifact Evaluation

Teaching

Quantum Fellowships & Mentoring

Selected Presentations9 talks
  • Sep 2025 · Rutgers SQD: Is VQE Being Replaced?
  • Aug 2025 · Rutgers Introduction to LDPC-BB Code
  • Jan 2025 · Yonsei Reinforcement Learning for Gate Merging Technique
  • Aug 2024 · Yonsei VQE: From Computational Chemistry to Quantum Computing
  • Mar 2024 · Yonsei Mitigating Memory Bottlenecks in Classical Simulation using Polar Format
  • Sep 2023 · Yonsei Tutorial for QAOA: A Top-Down Approach
  • Mar 2023 · Yonsei Meaning and Role of Phase in Quantum Computing
  • Sep 2022 · Yonsei Quantum Circuit Simulation: Basic Concepts & What We Can Do About It
  • Sep 2021 · Yonsei Understanding Shor’s Algorithm

Skills

Quantum SDK

  • Qiskit
  • QDK
  • Cirq
  • PennyLane

Circuit Simulator

  • qiskit-aer
  • qsimcirq
  • qulacs
  • QuEST

Software Development

  • Python
  • Shell Script
  • C / C++
  • Git

Hardware & Parallel

  • Verilog
  • CUDA

Languages

  • Korean
  • English

Beyond Research

I street dance — popping since 2016, breaking since 2025. Day to day it feels like nothing moves, however much you drill. Then you watch footage of yourself from a year ago and it’s not even close. Research has felt much the same.