Senior Quantum Software Engineer · Computational Physicist · QEC & Fault-Tolerant Quantum Computing
I build quantum software that connects physical models, algorithms, and production compute platforms. My background combines a PhD in theoretical quantum physics, 15 peer-reviewed publications, tensor-network and HPC research, and end-to-end ownership of deployed quantum SDKs, services, and hybrid workflows.
I am now applying that experience to quantum error correction and fault-tolerant computing through a substantial independent implementation portfolio.
- Quantum error correction: surface codes, lattice surgery, decoding, noisy-circuit modelling, photonic fusion networks, and logical resource estimation.
- Fault-tolerant workflows: mapping application problems towards logical circuits, Clifford+T compilation, Pauli-based computation, and physical-resource questions.
- Quantum software: production Python services and SDKs, provider integrations, asynchronous job systems, testing, CI/CD, and cloud deployment.
- Computational physics: tensor networks, open quantum systems, strongly correlated models, error propagation, and hardware-aware simulation.
I joined Strangeworks as a Quantum Algorithm Scientist in 2022 and progressed to Senior Quantum Software Engineer in 2023. My work has combined algorithm development, platform architecture, hands-on implementation, and technical leadership.
- Created the original QAOA, VQE, and Hybrid Optimize products, taking them from algorithm design and prototyping through production SDKs, services, testing, documentation, CI/CD, and deployment.
- Became the principal technical owner of the Optimization platform, spanning its Python SDK, shared models, orchestration, provider services, asynchronous job lifecycle, billing, results, and deployments.
- Technically owned the Amazon Braket, Qiskit, Qiskit Runtime, and neutral-atom provider paths, and created platform integrations for MATLAB, Wolfram Language, and Julia.
- Drove the quantum and optimization direction of AI-assisted workflows, including natural-language-to-MIP/QUBO formulation, solver selection, execution, and problem-specific result analysis.
- Designed the best-measured-solution enhancement to StrangeworksQAOA and led its hardware benchmark on Rigetti Ankaa-3 through Amazon Braket Hybrid Jobs.
qec-canvas — a typed, tested Python package for defining small stabilizer codes, running reproducible memory experiments, and inspecting batch or sliding-window decoder decisions. |
Quantum Playground — a checked notebook laboratory spanning surface-code QEC, tensor-network simulation, decoding, quantum algorithms, and fault-tolerant resource estimation. |
These projects serve different purposes. qec-canvas packages a focused QEC
vertical slice behind backend-neutral domain models, documented public APIs,
strict typing, continuous integration, and 100% statement and branch coverage.
The Quantum Playground is the
broader research and learning record from which ideas can be tested before they
become stable software.
The Playground's QEC collection progresses from individual logical qubits to decoding, lattice surgery, noise modelling, compilation, and application-level resource studies.
| Area | Selected work |
|---|---|
| Surface codes & decoding | Logical qubit · Simple decoders · Sliding-window decoding |
| Logical operations | Lattice-surgery CNOT · Non-Clifford circuits & magic states |
| Noise & scaling | Noisy-circuit modelling · Bond-dimension and multi-qubit scaling |
| FTQC compilation | Clifford+T and Hamiltonian-simulation studies |
| Application resources | Hubbard dynamics, ground-state QPE, and PDE studies |
| Photonic architectures | Six-ring fusion-network simulation |
- Aircraft cargo loading with Amazon Braket — I co-authored this AWS Quantum Technologies Blog case study after designing a QAOA enhancement and leading the 26–78-qubit benchmark on Rigetti Ankaa-3 through Braket Hybrid Jobs.
- Strangeworks Wolfram Language paclet — I created this published Wolfram package for submitting quantum circuits from Mathematica to quantum hardware through the Strangeworks platform. The accompanying Wolfram Community article was selected as a Staff Pick.
- Research publications — 15 peer-reviewed papers spanning quantum simulation, many-body physics, tensor networks, open quantum systems, topology, error propagation, and practical quantum advantage.
- Dynamical structure factor from weak measurements, Quantum Science and Technology 10, 035045 (2025).
- Practical quantum advantage in quantum simulation, Nature 607, 667–676 (2022).
- Propagation of errors and quantitative quantum simulation with quantum advantage, Quantum Science and Technology 7, 045025 (2022).
- Many-body quantum state diffusion for non-Markovian dynamics in strongly interacting systems, Physical Review Letters 128, 063601 (2022).
Python · Julia · Wolfram Language · Qiskit · Amazon Braket · Stim · ITensors · tensor networks · HPC · Docker · AWS · CI/CD
I am especially interested in QEC/FTQC software, resource estimation, logical-architecture simulation, compilers, decoders, and scientific developer tooling. Explore my personal website or connect with me on LinkedIn.