08/01/2025
[๐๐๐๐ ๐๐๐๐] ๐๐ฒ๐๐ซ๐ข๐ ๐๐จ๐ง๐ญ๐ซ๐จ๐ฅ ๐๐จ๐ซ ๐
๐๐ฎ๐ฅ๐ญ ๐๐จ๐ฅ๐๐ซ๐๐ง๐๐: ๐๐ฌ๐ข๐ง๐ ๐๐๐๐ฌ ๐ญ๐จ ๐๐ฉ๐ญ๐ข๐ฆ๐ข๐ณ๐ ๐๐ฎ๐ฅ๐ญ๐ข-๐๐ฎ๐๐ข๐ญ ๐๐๐ฅ๐ข๐๐ซ๐๐ญ๐ข๐จ๐ง ๐ข๐ง ๐๐๐๐ฅ ๐๐ข๐ฆ๐
Building scalable quantum computers isnโt just about adding qubits or improving fidelity. Itโs about integrating every layer of the stack and doing it in real time.
In our latest blog post, we break down the critical control challenges on the path to fault tolerance:
โ๏ธ Why gate fidelity isnโt enough
โ๏ธ How drift undermines calibration
โ๏ธ Where decoding latency becomes a bottleneck
โ๏ธ And how real-time hybrid control is helping solve it all
See how Quantum Machines and NVIDIA have teamed up to create a reference architecture that offloads QEC decoding to GPUs, achieving roundtrip latencies under 4 ยตs. We show the first microsecond-timescale integration of a QPU, with a CPU/GPU cluster.
Then dive into how reinforcement learning agents are optimizing GHZ states in real time, adapting to drift faster than humans ever could.
Read the full blog and watch the full demo > https://hubs.la/Q03zX1r50
๐This isnโt theoretical. Itโs working today, in labs around the world.
If you're building fault-tolerant systems and want to explore what DGX-Quantum could do for you, letโs talk > https://hubs.la/Q03zX1LG0
