Technology

Neutral-atom hardware built for reproducibility

Strontium-88 atoms in optical tweezers, Rydberg entanglement, and an AI calibration layer that closes the loop between every gate operation.

99.2% Two-qubit gate fidelity
100+ Individually addressed qubits
70% Reduction in calibration downtime
Array Architecture

Programmable 2D optical tweezer arrays

Each trap is an individually addressable qubit site. A spatial light modulator defines the trap geometry before each run, allowing circuit topology to be tuned per experiment.

  • Trap depth ~1 mK
  • Trap frequency (radial) 150-180 kHz
  • Site-to-site spacing 3.0 micron (programmable)
  • Loading efficiency >96% per site
  • Atom species Strontium-88 (88Sr)
Programmable optical tweezer array with individual atom trapping sites in a 2D grid configuration
Entanglement

Rydberg blockade gates

When one atom is excited to a Rydberg state, the strong dipole-dipole interaction shifts the energy of neighboring atoms, preventing their simultaneous excitation. This blockade enables high-fidelity two-qubit CZ and CNOT gates without physical contact between qubits.

99.2%
CZ gate fidelity

Measured via randomized benchmarking on our development configuration.

100 ns
Gate time

Fast gate operation relative to coherence time enables deep circuits.

10-20 um
Interaction range

Rydberg interaction range exceeds typical array spacing, enabling long-range connectivity without atom transport.

AI Calibration Layer

Closed-loop correction at every scale

Drift is continuous. Calibration must be too. The AI layer runs simultaneously with experiments, monitoring dozens of parameters and making micro-adjustments that are invisible to the experiment controller.

Fast parameter sampling

Trap frequencies and qubit transition frequencies are sampled thousands of times per second using non-destructive probe pulses interleaved with circuit operations.

Drift prediction model

A lightweight recurrent network trained on the system's own drift history predicts parameter evolution and pre-empts corrections before fidelity degrades measurably.

Per-qubit correction

Each atom's trap is corrected independently. Spatially correlated drift (e.g., from a pointing fluctuation) is distinguished from uncorrelated single-site noise and handled with the appropriate response.

Sample: Trap freq. 165.3 kHz / site
RNN drift predictor t+50ms: +0.4 kHz
Correction policy -1.8 mW beam 7
Maintained fidelity 99.1%
Specifications

Early-access system parameters

Parameter Value Notes
Qubit count (current config) 100+ Scalable by SLM pattern update
Single-qubit gate fidelity 99.8% Internal randomized benchmarking
Two-qubit gate (CZ) fidelity 99.2% Rydberg blockade; internal benchmarking
T1 coherence time >4 s Ground state population lifetime
T2 (Ramsey) coherence time >1 s With dynamical decoupling
Gate time (CZ) 100-200 ns Depends on inter-site spacing
Readout fidelity 99.5% Fluorescence imaging, per-qubit
Loading efficiency >96% Per-site, stochastic Zeeman loading
Calibration downtime <5 min/session vs. 2-4 hours without AI layer

Specifications reflect development configuration as of mid-2026. Early-access partners receive updated parameter sheets with each system release.

Roadmap

Where we are going

Q3 2025
50-atom baseline system

First operational tweezer array with AI calibration loop running continuously. 50-qubit configuration with 99%+ single-qubit fidelity.

Q1 2026
100-atom scale + early access

Array scaled to 100+ qubits. First research partners onboarded. Two-qubit fidelity benchmarks published.

H2 2026
256-qubit configuration + cloud API

Array density increase through improved SLM optics. REST API for remote experiment submission. Continued calibration layer tuning at scale.

2027
Error correction integration

First fault-tolerant logical qubits on the platform using surface code protocols adapted for the tweezer array geometry and long coherence times.

Request early access to the platform

Hardware access is currently by application for research groups and labs. Contact us to discuss your use case.