Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 70 tok/s
Gemini 2.5 Pro 50 tok/s Pro
GPT-5 Medium 32 tok/s Pro
GPT-5 High 37 tok/s Pro
GPT-4o 80 tok/s Pro
Kimi K2 194 tok/s Pro
GPT OSS 120B 456 tok/s Pro
Claude Sonnet 4.5 34 tok/s Pro
2000 character limit reached

Resource comparison of two surface code implementations of small angle Z rotations (1406.4948v1)

Published 19 Jun 2014 in quant-ph

Abstract: Fault-tolerant Z rotations by pi/2k are important as they arise in numerous quantum algorithms, most notably those involving quantum Fourier transforms. We describe surface code implementations of two recently described methods of efficiently constructing these rotations. One method uses state distillation to get low-error (|0> + exp(i pi/2k)|1>)/sqrt(2) states, with each distillation level requiring 2k+2-1 input states to produce a single purer output state, and uses these distilled states to directly implement pi/2k angle Z rotations. The other method is indirect, using sequences of single-qubit Clifford and T gates. We compute and compare the overhead of our surface code implementations of these two techniques. We find that the approximating sequence overhead is less than or equal to direct distillation for k > 3 and logical error rates <~ 10-12.

Summary

We haven't generated a summary for this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube