Research Scientists - Quantum Error Correction & Quantum Architectures

About Anyon:

Anyon Systems builds superconducting quantum computers across the full stack: quantum processors, fabrication, cryogenics, control electronics, calibration, and software.

Our Israel R&D team plays a central role in Anyon’s global technology roadmap, with substantial technical ownership across quantum architecture, control, calibration, benchmarking, and AI-driven automation. Working closely with colleagues in North America, we connect scientific research to processor design, executable protocols, and experimental results.

We are developing a state-of-the-art heterogeneous QPU architecture, with a dedicated quantum error-correction roadmap for each architectural block. This architecture is being built today, and we are looking for a scientist who will take a significant role in shaping it.

The Opportunity:

You will research and develop quantum error-correction codes, decoding methods, and quantum architectures—and take an active role in their implementation and experimental demonstration.

Your work will connect the capabilities of individual architectural blocks to their error-correction requirements: which codes they support, how information is protected, how operations are executed, and what physical performance is needed. You will help turn those requirements into concrete design choices and experiments.

The role spans new architectural concepts and hands-on work with today’s hardware. You will use existing processors and experimental data to test assumptions, identify limitations, and guide what we build next.

You will also work alongside a dedicated AI team that develops tools for research, implementation, and deployment. They will help accelerate your scientific workflow and bring your methods into operation. You will own the scientific questions, methods, interpretation, and validation.

What You Will Do:

• Shape our heterogeneous QPU architecture. Make significant contributions to the design and QEC roadmap of individual blocks and their interfaces. Connect each block’s intended function to its physical layout, supported operations, and protection strategy.
• Explore new codes and protocols. Investigate qLDPC codes, including bivariate bicycle codes, alongside surface codes and other promising approaches. Evaluate their suitability against realistic qubit budgets, connectivity, routing, and control constraints.
• Develop realistic QEC simulations. Build syndrome-extraction circuits and memory experiments that incorporate measured noise, leakage, crosstalk, readout errors, imperfect reset, and scheduling constraints.
• Develop and benchmark decoding methods. Implement reference approaches, investigate alternatives, and quantify trade-offs between logical accuracy, computational cost, sustained throughput, and latency.
• Bring decoding into the experimental loop. Collaborate with our electronics and software teams, integrating your findings in a production environment.
• Translate theory into hardware requirements. Determine which improvements in coherence, gates, readout, reset, connectivity, and calibration deliver the greatest benefit to logical performance.
• Design and execute experimental validation. Define meaningful acceptance criteria, help run hardware campaigns, compare measurements with predictions, and investigate discrepancies.
• Work closely with our dedicated AI team. Define scientific requirements for research and implementation tools, validate their outputs, and collaborate on deploying successful methods.
• Own research outcomes. Produce reproducible simulations, working implementations, clear technical recommendations, and experimental evidence that informs the next engineering decision.

What You Bring:

• MSc (PhD preferred) in quantum information, physics, applied mathematics, computer science, or a closely related field.
• Very useful: Strong expertise in quantum error correction, decoding, or fault-tolerant quantum architectures.
• Hands-on scientific programming skills and experience developing numerical simulations.
• The ability to translate mathematical ideas into testable protocols and working implementations.
• Sound scientific judgment: explicit assumptions, meaningful comparisons, uncertainty analysis, and reproducible evidence.
• The initiative to own an open research problem and carry it through to a concrete result.
• A collaborative approach to working across theory, experiments, hardware, software, and AI.

Experience in one or more of the following is particularly valuable:

• qLDPC codes, bivariate bicycle codes, or surface codes.
• Circuit-level noise modelling and syndrome-extraction simulation.
• Superconducting quantum processors and their experimental constraints.
• Decoder optimization, GPU computing, or real-time processing.
• Logical operations, quantum-memory experiments, or modular and heterogeneous architectures.

You do not need expertise in every part of the stack. We value scientific depth, curiosity, and the ability to learn across disciplines.

Why Join Anyon Israel?

• A significant role in an architecture being built now. Influence the blocks, interfaces, codes, and protocols that will define our next quantum processors.
• A direct path from research to experiment. Work with existing hardware and measured data, and help bring new ideas into live demonstrations.
• Scientific ownership. Take responsibility for research directions, technical choices, and their validation.
• A full-stack environment. Collaborate directly with the people designing, fabricating, controlling, calibrating, and measuring quantum devices.
• Dedicated AI support. Work with specialists building tools to accelerate your research and support implementation and deployment.
• International collaboration. Join a closely connected team across Israel and North America.
• Hybrid work in Tel Aviv, competitive compensation, and long-term equity participation.

If you want your research to shape a quantum processor—and help make it work—we would like to meet you.