Quantum Characterization, Verification, and Validation Engineer

PsiQuantum is seeking a researcher to develop methods for quantum characterization, verification, and validation (QCVV) of large-scale quantum systems. The successful candidate will work on methods for reliably characterizing quantum channels and system-level behavior in regimes where direct reconstruction is impossible. This includes developing scalable protocols, statistical analysis techniques, and simulation methods that connect experimental data to actionable conclusions about quantum performance.

Large-scale simulation is an important part of this role, particularly in the context of characterizing quantum channels, validating QCVV protocols, understanding error mechanisms, and predicting how characterization methods perform on large systems. Relevant experience may include tensor network methods, GPU-accelerated simulation, Monte Carlo methods, stabilizer simulation, and other approaches for modeling large quantum circuits and noisy quantum processes.

PsiQuantum’s architecture is based on photonic quantum computing. Prior experience with photonic quantum computing is valuable but not required. Candidates should be eager to learn the relevant photonic concepts and apply their QCVV, modeling, and simulation expertise to a photonic fault-tolerant quantum computing platform.

This is a hands-on technical role in a fast-moving environment. The ideal candidate is comfortable owning research projects end to end, working across disciplines, communicating uncertainty clearly, and translating technical results into decisions that improve system characterization and performance.

• ◆Develop scalable QCVV methods for characterizing large quantum systems, quantum channels, and system-level quantum behavior.
• ◆Develop statistical and numerical methods for extracting meaningful performance information from limited, noisy, and indirect measurement data.
• ◆Build models that connect observed experimental data to underlying quantum channels, error mechanisms, and system-level performance metrics.
• ◆Use large-scale quantum circuit simulation to evaluate characterization protocols, diagnose failure modes, and understand the behavior of noisy quantum channels.
• ◆Apply simulation methods such as tensor networks, GPU-accelerated computation, stabilizer methods, and Monte Carlo techniques where appropriate.
• ◆Work with experimental, architecture, software, and systems teams to compare measured system behavior against theoretical and numerical models.
• ◆Contribute to the definition of diagnostic observables and data analysis pipelines needed for reliable system characterization.
• ◆Document methods, assumptions, limitations, and results clearly.
• ◆Communicate progress, challenges, uncertainties, and conclusions to technical and cross-functional stakeholders.
• ◆Take ownership of research tasks from problem definition through implementation, validation, analysis, and communication.

• ✓Ph.D. or equivalent experience in Physics, Electrical Engineering, Applied Mathematics, Computer Science, or a related field.
• ✓Experience characterizing or modeling quantum channels, noisy quantum circuits, quantum processes, or quantum error mechanisms.
• ✓Experience developing numerical simulations for quantum systems, quantum circuits, or noisy quantum processes.
• ✓Programming experience for scientific computing and data analysis