Advancing Quantum Applications: Design of Hybrid Quantum-Classical Applications and Quantum Random Access Memory, Tutorial Sesion at ASPLOS, San Diego, CA, Apr. 2024.
Advances in Quantum Computing and Intro to the Intel® Quantum SDK, Session talk at Intel Innovation Taipei, Taipei, Taiwan, Nov. 2023.
Introduction to Hybrid Quantum-Classical Programming Using C++ Quantum Extension, Tutorial Talk at International Conference on Computer-Aided Design (ICCAD), San Francisco, CA, Oct. 2023.
Intel Quantum SDK: An Open-Source Quantum Compiler Using the LLVM Framework, Lightning Talk at LLVM Developers' Meeting, Santa Clara, CA, Oct. 2023.
Introduction to Intel Quantum SDK Version 1.0, Tutorial Talk at IEEE International Conference on Quantum Computing and Engineering (QCE), Seattle, WA, Sep. 2023.
Introduction to Hybrid Quantum-Classical Programming Using C++ Quantum Extension, Tutorial Talk at HPDC, Orlando, FL, June, 2023.
Intel Quantum SDK Version 1.0: Extended C++ Compiler, Runtime and Quantum Hardware Simulators for Hybrid Quantum-Classical Applications, APS March Meeting, March 2023.
Introduction to Intel Quantum SDK, Invited Talk at UPenn CIS7000 Topics on Quantum Computing System, Virtual, February, 2023.
Intel Quantum SDK: A Platform for Efficient Execution of Variational Algorithms, Intel Labs Talks, Virtual, December 2022.
Introduction to Quantum Computing and System Stack, SC22 Tutorial, Dallas, Texas, November 2022.
Main Components of the Intel Quantum SDK and What You Need before You Start Programming, Intel Innovation, San Jose, September, 2022.
Intel Quantum SDK: A Platform for Efficient Execution of Variational Algorithms, IEEE International Conference on Quantum Computing and Engineering (QCE), Broomfield, Colorado, September, 2022.
Intel Quantum Computing Architecture and Software Stack, Workshop on Software Stack Design for Quantum Computing at DAC, San Francisco, Jul 2022.
LLVM-based C++ Compiler Toolchain for Quantum Computing, Intel IDP Tech Forum, Virtual, July 2022.
Panel: Quantum Software Toolchain, Panel discussion at Design, Automation and Test in Europe (DATE) Conference, Virtual conference, Mar 2022.
An Intel Quantum Software Development Kit for Efficient Execution of Variational Algorithms, Conference talk at APS March Meeting, Chicago, IL, Mar 2022.
Reoptimization of Quantum Circuits via Hierarchical Synthesis, Conference talk at IEEE International Conference on Rebooting Computing (ICRC), Nov 2021
Scalable Quantum Circuit Optimization Using Automated Synthesis, Conference talk at APS March Meeting, Mar 2021
TILT:Achieving Higher Fidelity on a Trapped-Ion Linear-Tape Quantum Computing Architecture, Conference talk at HPCA, Feb 2021
Design, Optimization, and Simulation of Scalable Quantum Computing Systems, invited talk at IonQ, Jan 2021
Quantum Circuit Optimization by Using Scalable Quantum Synthesis, invited seminar talk at AQT, Lawrence Berkeley National Laboratory, CA, Oct 2020
Full-State Quantum Circuit Simulation by Using Data Compression, conference talk at SC19, Denver, CO, Nov 2019
ILP-Based Scheduling for Linear-Tape Model Trapped-Ion Quantum Computers, QIS student workshop, Argonne National Laboratory, IL, Aug 2019
Protecting Page Tables from RowHammer Attacks using Monotonic Pointers in DRAM True-Cells, conference talk at ASPLOS, Providence, RI, Apr 2019
Intermediate-Scale Full State Quantum Circuit Simulation by Using Lossy Data Compression, APS March Meeting, Boston, MA, Mar 2019
Memory-Efficient Quantum Circuit Simulation by Using Lossy Data Compression, PMES, Dallas, TX, Nov 2018
Amplitude-Aware Lossy Compression for Quantum Circuit Simulation, DRBSD-4, Dallas, TX, Nov 2018
Xin-Chuan Wu, Shavindra P. Premaratne, Kevin Rasch, "Invited Paper: Introduction to Hybrid Quantum-Classical Programming Using C++ Quantum Extension", in Proceedings of the 42st IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Oct 2023.
Albert T. Schmitz, Mohannad Ibrahim, Nicolas P. D. Sawaya, Gian Giacomo Guerreschi, Jennifer Paykin, Xin-Chuan Wu, A. Y. Matsuura, "Optimization at the Interface of Unitary and Non-unitary Quantum Operations in PCOAST", IEEE International Conference on Quantum Computing and Engineering (QCE), Sep 2023.
Jennifer Paykin, Albert T. Schmitz, Mohannad Ibrahim, Xin-Chuan Wu, A. Y. Matsuura, "PCOAST: A Pauli-based Quantum Circuit Optimization Framework", IEEE International Conference on Quantum Computing and Engineering (QCE), Sep 2023.
Xin-Chuan Wu, Shavindra P. Premaratne, Kevin Rasch, "A Comprehensive Introduction to the Intel Quantum SDK", Proceedings of the 2023 Introduction on Hybrid Quantum-Classical Programming Using C++ Quantum Extension in conjunction with HPDC, June 2023.
Xin-Chuan Wu, Albert Schmitz, Pradnya Khalate, Anne Y. Matsuura, "An LLVM-Based Compiler for Quantum-Classical Applications.", LLVM Developers' Meeting, Nov 2022. [poster]
Pradnya Khalate, Xin-Chuan Wu, Shavindra Premaratne, Justin Hogaboam, Adam Holmes, Albert Schmitz, Gian Giacomo Guerreschi, Xiang Zou, AY Matsuura, "An LLVM-Based C++ Compiler Toolchain for Variational Hybrid Quantum-Classical Algorithms and Quantum Accelerators", arXiv preprint arXiv:2202.11142, March 2022.
Teague Tomesh, Pranav Gokhale, Victory Omole, Gokul Ravi, Kaitlin Smith, Joshua Viszlai, Xin-Chuan Wu, Nikos Hardavellas, Margaret R. Martonosi, Frederic T. Chong, "SupermarQ: A Scalable Quantum Benchmark Suite", in the Proceedings of 28th IEEE Symposium on High Performance Computer Architecture (HPCA). April, 2022. Best Paper Award
Xin-Chuan Wu, Marc Grau Davis, Frederic T. Chong, Costin Iancu, "Reoptimization of Quantum Circuits via Hierarchical Synthesis", in the Proceedings of IEEE International Conference on Rebooting Computing (ICRC). Nov, 2021.
Xin-Chuan Wu, Dripto M. Debroy, Yongshan Ding, Jonathan M. Baker, Yuri Alexeev, Kenneth R. Brown, Frederic T. Chong, "TILT: Achieving Higher Fidelity on a Trapped-Ion Linear-Tape Quantum Computing Architecture", in the Proceedings of 27th IEEE Symposium on High Performance Computer Architecture (HPCA). Feb 2021. [paper]
Yongshan Ding, Xin-Chuan Wu, Adam Holmes, Ash Wiseth, Diana Franklin, Margaret Martonosi, Frederic T. Chong, "SQUARE: Strategic Quantum Ancilla Reuse for Modular Quantum Programs via Cost-Effective Uncomputation", in proc. of 47th Intl. Symposium on Computer Architecture (ISCA). May 2020. Award: Honorable Mention for IEEE Micro Top Picks [paper]
Xin-Chuan Wu, Yongshan Ding, Yunong Shi, Yuri Alexeev, Hal Finkel, Kibaek Kim, Frederic T. Chong, "ILP-Based Scheduling for Linear-Tape Model Trapped-Ion Quantum Computers", in IEEE/ACM 30th The International Conference for High Performance Computing, Networking, Storage and Analysis (SC). November 2019. Denver, CO. [poster]
Franck Cappello, Sheng Di, Sihuan Li, Xin Liang, Ali M. Gok, Dingwen Tao, Chun Hong Yoon , Xin-Chuan Wu, Yuri Alexeev, Federic T. Chong, "Use cases of lossy compression for floating-point data in scientific datasets", in The International Journal of High Performance Computing Applications (IJHPCA), 2019. [paper]
Xin-Chuan Wu, Sheng Di, Emma Maitreyee Dasgupta, Franck Cappello, Yuri Alexeev, Hal Finkel, Frederic T. Chong, "Full State Quantum Circuit Simulation by Using Data Compression", in IEEE/ACM 30th The International Conference for High Performance Computing, Networking, Storage and Analysis (SC). November 2019. Denver, CO. [paper]
Xin-Chuan Wu, Timothy Sherwood, Frederic T. Chong and Yanjing Li, "Protecting Page Tables from RowHammer Attacks using Monotonic Pointers in DRAM True-Cells", International Symposium on Architectural Support for Programming Languages and Operating Systems (ASPLOS). April 2019. Providence, RI. [paper]
Xin-Chuan Wu, Sheng Di, Franck Cappello, Hal Finkel, Yuri Alexeev , Frederic T. Chong, "Memory-Efficient Quantum Circuit Simulation by Using Lossy Data Compression", The 3rd International Workshop on Post-Moore Era Supercomputing (PMES) in conjunction with IEEE/ACM 29th The International Conference for High Performance Computing, Networking, Storage and Analysis (SC). November 2018. Dallas, TX. [paper]
Xin-Chuan Wu, Sheng Di, Franck Cappello, Hal Finkel, Yuri Alexeev, Frederic T. Chong, "Amplitude-Aware Lossy Compression for Quantum Circuit Simulation", The 4th International Workshop on Data Reduction for Big Scientific Data (DRBSD-4) in conjunction with IEEE/ACM 29th The International Conference for High Performance Computing, Networking, Storage and Analysis (SC). November 2018. Dallas, TX. [paper]
Xin-Chuan Wu, Sheng Di, Franck Cappello, Hal Finkel, Yuri Alexeev, Frederic T. Chong, "Full State Quantum Circuit Simulation by Using Data Compression", in IEEE/ACM 29th The International Conference for High Performance Computing, Networking, Storage and Analysis (SC). November 2018. Dallas, TX. [poster]
Ali Javadi-Abhari, Adam Holmes, Shruti Patil, Jeff Heckey, Daniel Kudrow, Pranav Gokhale, David Noursi, Lee Ehudin, Yongshan Ding, Xin-Chuan Wu, Yunong Shi. ScaffCC: Scaffold Compiler Collection. Jun 2018.
Xin-Chuan Wu, Ye-Jyun Lin, Pao-Jui Huang, Tay-Jyi Lin, and Chia-Lin Yang, "Instruction-level power estimation for embedded VLIW digital signal processors," VLSI Design/CAD Symposium, Hualien, Aug. 2009
Xin-Chuan Wu, "System-level Power Estimation for Digital Signal Processor," National Taiwan University, Aug. 2009
