Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
92 tokens/sec
Gemini 2.5 Pro Premium
50 tokens/sec
GPT-5 Medium
15 tokens/sec
GPT-5 High Premium
23 tokens/sec
GPT-4o
97 tokens/sec
DeepSeek R1 via Azure Premium
87 tokens/sec
GPT OSS 120B via Groq Premium
466 tokens/sec
Kimi K2 via Groq Premium
201 tokens/sec
2000 character limit reached

SpinHex: A low-crosstalk, spin-qubit architecture based on multi-electron couplers (2504.03149v1)

Published 4 Apr 2025 in quant-ph

Abstract: Semiconductor spin qubits are an attractive quantum computing platform that offers long qubit coherence times and compatibility with existing semiconductor fabrication technology for scale up. Here, we propose a spin-qubit architecture based on spinless multielectron quantum dots that act as low-crosstalk couplers between a two-dimensional arrangement of spin-qubits in a hexagonal lattice. The multielectron couplers are controlled by voltage signals, which mediate fast Heisenberg exchange and thus enable coherent multi-qubit operations. For the proposed architecture, we discuss the implementation of the rotated XZZX surface code and numerically study its performance for a circuit-level noise model. We predict a threshold of $0.18\%$ for the error rate of the entangling gates. We further evaluate the scalability of the proposed architecture and predict the need for $4480$ physical qubits per logical qubit with logical error rates of $10{-12}$ considering entangling gate fidelities of $99.99\%$, resulting in a chip size of $2.6$cm$2$ to host $10,000$ logical qubits.

Summary

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

Dice Question Streamline Icon: https://streamlinehq.com

Follow-up Questions

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

X Twitter Logo Streamline Icon: https://streamlinehq.com

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