I am a quantum algorithms researcher bridging the gap between theoretical physics and modern quantum computation. My long-term goal is to design scalable quantum algorithms that solve complex, real-world problems by working around the constraints of today's noisy hardware. I enjoy dismantling classical execution bottlenecks and translating high-level, continuous-time physics into code that actually runs efficiently on near-term physical processors.
Quantum Algorithms • Hardware-Aware Compilation • Quantum Error Mitigation • Lattice Gauge Theories • Continuous-Time Simulations • Combinatorial Optimization
- Hardware-Aware Compilation (Completed): Architected the HALO compiler, natively mapping lattice gauge theories to IBM heavy-hex topologies to bypass classical scaling limits and achieve constant Trotter depth.
- Complex Systems & Non-Markovian Landscapes: Investigating macroscopic simulation bottlenecks and continuous-time dynamics, integrating concepts from surrogate Hamiltonians.
- Algorithmic Benchmarking on Physical Solvers: Exploring the mapping of dense optimization constraints and continuous variables onto near-term physical architectures.
- The HALO Engine: O(1)-Step Compilation and Localized String Rupture for Lattice Gauge Theories on Quantum Hardware (arXiv:2608.19243, 2026). Under review at Quantum.