Cheng-En Tsai

Cheng-En Tsai

Incoming M.S. Student

About Me

I am Cheng-En Tsai (蔑承恩), an incoming M.S. student in Electrical & Computer Engineering (Integrated Circuits & VLSI) at the University of Michigan, following a B.S. in Electrical Engineering from National Taiwan University (NTU). My interests center on VLSI design and Electronic Design Automation, spanning digital microarchitecture, physical design, and logic-optimization tooling, sharpened during a Hardware Engineering internship at Google. I also continue research in Quantum Design Automation at NTU with Prof. Chung-Yang (Ric) Huang and Prof. Hao-Chung Cheng.

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Interests

  • VLSI Design & Electronic Design Automation
  • Digital System Architecture
  • Quantum Design Automation

Education

  • M.S. in Electrical & Computer Engineering (Integrated Circuits & VLSI)
         University of Michigan
  • B.S. in Electrical Engineering (GPA: 4.16/4.3)
         National Taiwan University

News

Recent Publications

Fault-Tolerant Quantum Circuit Synthesis

A Novel Ultra-Low Logic Step Fault-Tolerant Quantum Circuit Synthesis via Lattice Surgery

Chien-Tung Kuo, Cheng-En Tsai, Chung-Yang (Ric) Huang

A novel quantum circuit synthesis framework that converts quantum circuits to ZX Calculus, optimizes them, and produces fault-tolerant lattice surgery operations with 3D visualization and verification capabilities.

Quantum Federated Learning

Resource-efficient and robust quantum federated learning via loss aggregation

Cheng-En Tsai, Hao-Chung Cheng
Submitted

A novel method that aggregates loss values instead of gradients in quantum federated learning, reducing communication overhead and quantum measurements by orders of magnitude while maintaining strong convergence under non-IID data distribution.

QSyn Framework

QSyn: A Developer-Friendly Quantum Circuit Synthesis Framework for NISQ Era and Beyond

Mu-Te Lau, Chin-Yi Cheng, et al., including Cheng-En Tsai and Chung-Yang (Ric) Huang

Developed a C++-based quantum circuit compilation framework that provides a unified environment for prototyping and evaluating quantum circuit synthesis algorithms, with robust developer tools including CI/CD and regression testing.

Featured Projects

Configurable BCH Decoder

Configurable BCH Decoder for High-Speed Optical Interconnects

Oct 2025 – Jan 2026 Computer-Aided VLSI System Design
  • Architected a multi-standard BCH decoder in Verilog supporting (63,51)/(255,239)/(1023,983) codes in hard/soft-decision modes, optimized via a unified GF multiplier with XOR-tree reduction and 8-lane shared ROM.
  • Implemented the full RTL-to-GDSII flow using VCS and Innovus, delivering 1.58 mmΒ² core area, 14.7 mW power, and zero DRC/LVS violations.
AT2-Optimized RISC-V Processor

ATΒ²-Optimized 32-bit Pipelined RISC-V Processor (RV32IC)

Apr 2025 – Jun 2025 Digital System Design
  • Designed a 32-bit, 5-stage pipelined RISC-V processor (RV32I + C extension) with 2-way set-associative I/D caches and a hazard unit for data/control hazards via forwarding/stalls.
  • Compared branch prediction and multiplier architectures via ATΒ² analysis, synthesizing in TSMC 0.13Β΅m at 3.0 ns cycle time with C-extension compression cutting execution time up to 37%.
Incremental SAT-PBO ATPG Framework

Incremental SAT-PBO ATPG Framework on Berkeley ABC

Apr 2025 – Jun 2025 VLSI Testing
  • Developed an incremental SAT+PBO-based ATPG framework in Berkeley ABC, adding custom commands for fault modeling and equivalence fault collapsing to minimize test set size.
  • Validated on the c17 ISCAS85 benchmark, achieving fewer test patterns than PODEM with 100% fault coverage via the Kissat SAT solver.

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