Research & Publications

My research sits at the intersection of quantum algorithms, computational physics, and hybrid classical-quantum architectures. I focus on developing hardware-aware frameworks that maximize resource efficiency on near-term devices while paving the path toward fault-tolerant, scalable quantum computing.

Research Pillars

1. Quantum Hardware Optimization & HPC-QPU Workflows

Executing quantum algorithms effectively requires treating the Quantum Processing Unit (QPU) not in isolation, but as a specialized accelerator alongside High-Performance Computing (HPC) clusters.

  • HPC-QPU Integration: Designing and optimizing dynamic workflows that distribute computational workloads efficiently between classical supercomputers and QPUs.

  • Hardware-Aware Mapping: Developing compilation and mapping strategies tailored to specific hardware connectivity, gate sets, and noise profiles.

  • Heterogeneous Architectures: Exploring algorithms designed to leverage multi-modal or heterogeneous quantum hardware to maximize circuit fidelity and resource efficiency.

2. Quantum Chemistry & Complex System Simulation

Simulating strongly correlated physical and chemical systems is one of the most promising applications of quantum computing, yet constructing efficient representations remains a major hurdle.

  • Hamiltonian Construction & Active Space Selection: Constructing optimized chemistry Hamiltonians and developing classical-hard active space selection techniques—targeting molecular and electronic configurations that exceed the capabilities of classical solvers.

  • Digital Quantum Simulation: Designing quantum algorithms to probe non-trivial physical phenomena, including lattice field theory dynamics, meson spectroscopy, and topological symmetries on noisy digital hardware.

3. Error Mitigation, Detection & Fault-Tolerant Architectures

Bridging the gap between NISQ (Noisy Intermediate-Scale Quantum) processors and fault tolerance requires a multi-layered approach to noise management.

  • ML-Driven Error Mitigation: Leveraging machine learning models to characterize, predict, and mitigate hardware noise patterns without the overhead of full error correction.

  • Quantum Error Detection (QED) & Executable QEC: Implementing real-time quantum error detection protocols and developing executable Quantum Error Correction (QEC) strategies designed for scalable implementation on physical qubits.

Publications & Preprints

Preprints

  • Signatures of Topological Symmetries on a Noisy Quantum Simulator

    Christopher Lamb, Robert M. Konik, Hubert Saleur, and Ananda Roy (2025)

    arXiv:2510.14817

    Focus: Probing topological symmetries on noisy quantum hardware, demonstrating techniques to extract robust physical signatures despite environmental decoherence and gate noise.

Peer-Reviewed Journal Articles

  • Ising Meson Spectroscopy on a Noisy Digital Quantum Simulator

    Christopher Lamb, Yicheng Tang, Robert Davis, and Ananda Roy

    Nature Communications 15, 5901 (2024)

    Focus: Simulating meson bound states and confinement dynamics on digital quantum hardware, establishing methodologies for executing high-energy physics simulations on current noisy processors.