WHITEPAPER

Fast Scalable Feedback for Quantum Error Correction and Advanced Qubit Operations

The Control Layer Is No Longer the Bottleneck. LINQ closes the full quantum error correction feedback loop in hardware, in under 650 nanoseconds, Cluster-wide, with no host computer in the path.
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THE PROBLEM

Every Quantum Error Correction Cycle Is a Race Against Decoherence

LINQ closes the full quantum error correction feedback loop in hardware, in under 650 nanoseconds, Cluster-wide, with no host computer in the path.
Every QEC cycle requires a measurement-decode-correct loop that completes within microseconds, deterministically, at data rates that grow quadratically with code distance.
Miss the window, and errors accumulate faster than they're corrected.
THE PROBLEM

A Deterministic Feedback Protocol,
Built Into the Hardware

LINQ connects up to 120 Q1 sequence processors per mainframe over a shared fabric, moving data wherever the feedback loop needs it: on chip, across modules, or Cluster-wide, with no host computer in the path.
Miss the window, and errors accumulate faster than they're corrected.
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WHY LINQ

Three Reasons LINQ Is Different

#1

Deterministic, not just fast

Bounded, guaranteed latency on every operation, a fixed number of clock cycles in firmware, every time.
#2

Built ahead of the demand curve

A 2 Gb/s backplane carries the 80 Mb/s syndrome stream of a distance-9 surface code with more than 25× headroom, and throughput scales linearly as Clusters are added.
#3

Deterministic, not just fast

Qblox and Riverlane integrated a real decoder into the Qblox control stack through an open interface, and measured the results across code distances 3 through 9. LINQ also extends to NVIDIA's NVQLink for GPU-accelerated co-processing.
The full breakdown is in the whitepaper
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ONE ARCHITECTURE

Six Protocols, One Architecture

Protocol #01

Deterministic active reset

Protocol #02

Surface code quantum error correction

Protocol #03

Active qubit frequency tracking

Protocol #04

Calibration via golden-section search

Protocol #05

Bayesian parameter estimation

Protocol #06

Heralded entanglement

FROM THE TEAM

The People Behind the Performance

“What changed for us wasn't a single number, it was not having to think about the control layer at all. Active reset, calibration, error correction: they all just run, deterministically, every time.”
David Vos
Quantum Application Engineer
“Every protocol we've built on LINQ such as active reset, qubit's parameter tracking, calibration, entanglement heralding, all of them shares the same fabric and the same guarantees. That consistency is what actually lets quantum tech advance fast.”
Vatshal Srivastav
Lead Quantum Application Engineer
“We didn't want to publish another latency number without showing our work. This whitepaper shows exactly where the time in a QEC cycle goes, and why the control layer isn't what holds you back.”
Smiling man with glasses and curly hair wearing a navy blue button-up shirt against a plain light gray background.
Francesco Battistel
Roadmap Leader, Quantum Error Correction
SCALABILITY

Built to Scale

Hardware latency is decoupled from code complexity: Qblox's own contribution stays a small, stable fraction of the total reaction time from distance 3 to distance 9.
The same modular control electronics, the same backplane bandwidth per unit, and the same deterministic routing guarantees apply at every point along the roadmap toward fault-tolerant quantum computing.

Authors

Bilal Kalyoncu
Product Marketing Manager
David Vos
Quantum Application Engineer
Vatshal Srivastav
Lead Quantum Application Engineer
Smiling man with glasses and curly hair wearing a navy blue button-up shirt against a plain light gray background.
Francesco Battistel
Roadmap Leader, Quantum Error Correction
Daniela Ivanova Huisman
Technical Writer

See the full latency and throughput data

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