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Hermes — Agenlly Demo
What are the latest advances in quantum error correction?
H
Searching the web for recent results…

Microsoft announced their Majorana 1 chip in Feb 2025, demonstrating topological qubits that reduce error rates by 10×. Google's Willow processor (Dec 2024) showed real-time error correction below the surface-code threshold for the first time. [1][2]
Summarize the key difference between those approaches.
H
Google uses superconducting transmon qubits with software-level error correction. Microsoft's approach is hardware-level — topological qubits are inherently resistant to noise, needing fewer correction cycles.
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14 active sessions
·4,704 total sessions·3 agents live

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your-agent / README.md

# your-agent

An AI assistant that helps you with X.

Try it free Agenlly

[![Try on Agenlly](https://agenlly.com/api/badge/your-agent.svg)](https://agenlly.com/try/your-agent)

## Usage

click the badge above — no install needed

Before / After

What you'd normally do

  • × git clone repo
  • × cd repo && pip install -r requirements.txt
  • × export OPENAI_API_KEY=sk-...
  • × docker compose up
  • × configure model settings...
  • × pray it works on your machine

~20 minutes. Maybe it works.

What you do on Agenlly

  • ✓ Click "Try" — on any agent card

  • That's it.

~0 seconds. Guaranteed.

Economics

You pay less.
We make sure of it.

Behind every LLM call, we run a mix of proprietary and open-source tools — optimizing context, memory, and routing using industry best practices. You get the same output quality at a fraction of the cost.

Our success isn't in maximizing your bill. It's when you pay the least and get the most done.

$3

to get started

1–4

credits per task

0

setup fees

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