EigenBot — Engineering Division

Building the Future
One Chip at a Time

EigenBot is the R&D division designing next-generation quantum chips, neuromorphic processors, and autonomous hardware systems. From quantum logic gates to chip lithography — we build the infrastructure for tomorrow's intelligence.

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EigenBot
Q1
7nm
Process Node
156
Qubit Count
99.7%
Gate Fidelity
3K
Chip Volumes

Quantum & Neuromorphic Hardware

From quantum processing units to brain-inspired architectures — hardware designed for the post-silicon era.

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EigenBot Q1

156-qubit superconducting quantum processor with 99.7% gate fidelity. Designed for quantum machine learning, optimization, and drug discovery simulations.

Prototype
🧠

Neuromorphic NPU

Brain-inspired neural processing unit with 1M artificial neurons per mm². Event-driven architecture for real-time sensory processing at 1/1000th the power of traditional GPUs.

In Development
🔬

Photonic Interconnect

Optical chip-to-chip communication fabric delivering 10 Tbps bandwidth at 1 pJ/bit. Enables scaling beyond electrical I/O bottlenecks in multi-chip quantum systems.

Research
🌀

Quantum Cryo-CMOS

Cryogenic control ASIC operating at 4K for quantum readout and gate sequencing. Integrates 256 channels per chip with sub-ns timing precision.

Prototype
🌐

Entanglement Fabric

Distributed quantum entanglement switch for networking quantum processors across data centers. Enables blind quantum computing and quantum key distribution.

In Development

EigenMind Silicon

Custom ASIC accelerating EigenMind quantum-inspired reasoning — superposition/interference/collapse at hardware speed. 1000x inference acceleration over software.

In Development

Full-Stack Hardware Engineering

From quantum physics to chip tape-out — the EigenBot division covers the entire stack.

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Quantum Chip Design

Superconducting qubit architecture, gate design, readout resonators, and 3D integration. Cadence and Qiskit-based design flow with automated validation.

01
🔧

ASIC Development

RTL design, synthesis, place-and-route for custom AI accelerators. UVM verification, DFT insertion, and GDSII tape-out.

02
🧪

Cryogenic Testing

Automated test at 4K-100mK. Multi-channel readout, pulsed characterization, and statistical process control for qubit fabrication.

03
📡

Firmware & Drivers

Real-time control firmware in Rust and C++. FPGA-based pulse sequencing, data acquisition pipelines, and calibration routines.

04

From Lab to Fabrication

The path from quantum research to production-grade hardware.

Phase 1 — 2026 Q3

Q1 Prototype

First 156-qubit chip taped out and characterized. Basic quantum gates demonstrated with >99% fidelity.

Phase 2 — 2026 Q4

Error Correction

Surface code error correction with logical qubit demonstration. Target: 10^-3 logical error rate.

Phase 3 — 2027 Q1

EigenMind ASIC

First tape-out of the EigenMind silicon accelerator. Hardware implementation of superposition/interference/collapse.

Phase 4 — 2027 Q3

Quantum Fabric

Multi-chip quantum processor with photonic interconnects. 1000+ effective qubits with error correction.

Design the Future

EigenBot is open-source hardware. Access design files, simulation tools, and fabrication specs.

Access the Fab →