Xiaodi Wu

My research aims to bridge the gap between theory and practice for quantum computing by taking a full-stack software-hardware-algorithmic co-design approach. Specifically, my current research interests include:

• developing practical and deployable quantum applications (e.g., in optimization, machine learning, and simulation) by investigating computational models that capture the native programmability of quantum devices;
• building efficient and reliable systems to operate near-term and long-term quantum devices, including the design and implementation of programming interfaces, real-time control systems, and quantum operating and network systems;
• automating and optimizing quantum application co-design using programming languages and machine learning techniques;
• investigating practical, robust, and cost-effective control of quantum devices.

I also promote the paradigm of Hamiltonian-oriented Quantum Algorithm Design and Programming, which treats quantum Hamiltonian evolution as the central object in end-to-end quantum application design.

Hamiltonian-oriented design not only allows more efficient implementation of known quantum algorithms but also inspires novel quantum algorithms, especially in optimization and scientific computing, such as Quantum Hamiltonian Descent. We also develop SimuQ, a programming infrastructure for implementing Hamiltonian-based quantum applications on heterogeneous quantum devices.

See my research overview for details, and the BGM workshops and recordings for discussions of this paradigm.

• Jun 7–11, 2027Forthcoming conference
  Our paper A Control Protocol for Wide-Area Quantum Links has been accepted for SIGMETRICS 2027 and will appear in POMACS. The conference will take place June 7–11, 2027. Paper details.
• Sep 25, 2026
  I am co-organizing Quantum Technologies for Precision Oncology, November 5–6, 2026, in Washington, DC. We will give a live demonstration of applying QIHD to cancer treatment planning.
• Sep 17, 2026
  Our paper A Scalable Open-Source QEC System with Sub-Microsecond Decoding-Feedback Latency was accepted for presentation at IEEE Quantum Week (QCE 2026). It presents an integrated platform for real-time qubit control, communication, and decoding. Conference program.
• Aug 25, 2026
  MasuGate is public: stateful governance for concurrent AI agents, with an interactive demo, open-source implementation, and research paper.
• Jul 28, 2026
  Our RISC-Q paper was accepted for presentation at DAC 2026. RISC-Q is an open-source generator for real-time quantum control systems compatible with the RISC-V ecosystem.
• Jul 27, 2026
  Our QHD-based application for accelerating cancer treatment planning in radiation oncology has advanced to the final stage of the NIH Quantum Computing Challenge. Read about QHD and QIHD in treatment planning.
• Jun 10, 2026
  Our paper Crosstalk-Robust Dynamical Decoupling for Bipartite Topology Quantum Processors has been published in Physical Review Applied 25, 064041 (2026). It introduces a pulse-timing approach to improve protection against crosstalk on quantum processors.
• May 19, 2026
  BCG highlights quantum-inspired Hamiltonian descent for financial portfolio optimization, reporting faster convergence and improved risk–return trade-offs over Monte Carlo sampling on classical hardware.
• May 4–7, 2026
  I co-organized Beyond Gate-Based Quantum Computing: Defining Quantum Advantage in the Pre-Fault Tolerant Era at KITP, UC Santa Barbara, May 4–7, 2026. The workshop explored quantum advantage through hybrid analog–digital approaches, error mitigation, and pulse-level control. Recordings and slides.
• Mar 17, 2026
  QLab featured our work on end-to-end quantum estimation of the pseudospectra of non-Hermitian systems. The framework combines singular-value estimation with dissipative state preparation and demonstrates the full pipeline on IonQ Forte. Read the paper.
• Nov 8, 2025
  Our Hamiltonian embedding techniques for simulating high-dimensional dynamics were highlighted by AWS and QuEra. The work maps complex quantum dynamics to hardware-efficient operations, with demonstrations on IonQ and QuEra processors through Amazon Braket.
• Dec 2024
  Our papers On the Computational Complexity of Schrödinger Operators and A quantum central path algorithm for linear optimization will be presented as contributed talks at QIP 2025.

Upcoming and past workshops I have helped organize, with programs and recordings.

I have also been part of collaborative research efforts including:

• Robust Quantum Simulation (RQS) — NSF Quantum Leap Challenge Institute.
• FAR-Qu — DOE Fundamental Algorithmic Research toward Quantum Utility.
• ERASE@Yale — NSF National Quantum Virtual Laboratory.
• Quantum Science Center (QSC) — DOE Quantum Information Science Research Center.
• QOALAS — DOE quantum algorithms for optimization, learning, and simulation.