Research

Open research in neutral-atom quantum hardware

Q-Factor's research program spans gate fidelity, coherence characterization, AI-assisted calibration, and scalable tweezer array engineering. We publish our results and collaborate with academic groups in AMO physics, quantum information, and algorithm design.

12 Technical blog posts
3 Active research directions
2025 Founded, bootstrapped
Approach

Hardware-first, quantitative, open

Hardware-first methodology

Every algorithm and protocol claim is validated on the actual strontium-88 tweezer system, not a simulator. If it does not run reliably on physical hardware, it is not included in our results.

Quantitative fidelity reporting

We report all fidelities with standard error, sample sizes, and measurement protocol details. Benchmarks without error bars are not benchmarks. Our blog posts include data tables and uncertainty budgets.

Open results and collaboration

We share intermediate results and negative results in the technical blog. We actively seek academic collaborators with complementary expertise in error correction, AMO physics, and quantum algorithms.

Research Directions

What we are working on now

01
Autonomous AI calibration for large-scale arrays

Extending the closed-loop calibration system to 256-qubit configurations. Key challenges: handling spatially correlated drift at scale, managing the computational cost of the prediction model in real time, and maintaining per-qubit fidelity across a larger spatial extent.

Machine learning Calibration Scaling
02
Rydberg gate fidelity above 99.5%

Current two-qubit CZ fidelity is 99.2%. We are investigating crosstalk from intermediate Rydberg levels, microwave pulse shaping for leakage suppression, and the effect of thermal motion in the trap ground state on gate error rates.

Gate fidelity Rydberg physics Benchmarking
03
Surface code error correction on tweezer arrays

Adapting surface code stabilizer measurement circuits to the connectivity geometry of a 2D tweezer array. We are evaluating syndrome extraction overheads, hook error rates, and optimal code distances for our current per-gate error budgets.

Error correction Surface code Logical qubits

Interested in research collaboration?

We actively collaborate with academic groups in AMO physics, quantum information theory, and quantum algorithm design. Reach out to discuss joint experiments, data sharing, or access to our hardware.