CryoAI v2 - Quantum Control ML Accelerator

Published:

CryoAI v2 - Quantum Control ML Accelerator

FieldValue
ProjectCryoAI v2 - Quantum Control ML Accelerator
Year2022
TechnologyGF 22nm FD-SOI
TypeASIC
StatusCompleted
FundingFermilab, Northwestern University, Columbia University

Project Overview

Development of on-edge ML accelerator for quantum readout/control in GF 22nm. Complete automatic digital design flow with e-FPGA processor integration and cryogenic optimization.

Design Flow

  • RTL Design: Verilog HDL implementation and verification
  • Synthesis: Cadence Genus with technology-specific optimization
  • Place & Route: Cadence Innovus with timing and power closure
  • Physical Verification: DRC/LVS with Calibre and extraction
  • Verification: Post-layout simulation and formal verification

GitHub repository: [Add link when available]

For related publications, see the Publications page.