Stephen Bartlett
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bartlettquantum.bsky.social
Stephen Bartlett
@bartlettquantum.bsky.social
Professor at the University of Sydney. Quantum computing enthusiast.
Views expressed here are my own.
Congratulations Seok-Hyung, we will miss you too!
September 2, 2025 at 9:27 PM
Reposted by Stephen Bartlett
Adapting maximum likelihood decoders using just 1% of efficiently learned Pauli error rates via Cycle Error Reconstruction boosts quantum error correction performance up to 10×, helping lower the overhead for fault-tolerant quantum computing. @bartlettquantum.bsky.social
arxiv.org/abs/2507.08536
Enhancing Decoding Performance using Efficient Error Learning
Lowering the resource overhead needed to achieve fault-tolerant quantum computation is crucial to building scalable quantum computers. We show that adapting conventional maximum likelihood (ML) decode...
arxiv.org
July 14, 2025 at 1:10 PM
Our suite of efficient and scalable characterisation tools provide a wealth of data on these 156-qubit devices - simultaneous randomised benchmarking, *including* mid-circuit measurements, temporal constency, cross-talk, etc. It's like Christmas for QCVV tragics.
April 11, 2025 at 1:09 AM
As a bonus, Robin Harper has benchmarked these latest IBM devices (Heron r2) to within an inch of their lives! Check out the Methods section...
April 11, 2025 at 1:09 AM
We've pushed the limits of the latest IBM devices to see the many ways that quantum logic can fail. We've performed a complementary pair of experiments on a quantum code - one testing memory, the other testing stability - highlighting the key role of mid-circuit measurements in fault-tolerant logic.
April 11, 2025 at 1:08 AM
I work in the incredible Sydney Nanoscience Hub: a purpose built facility for exploring the frontiers of new technologies such as quantum. And I love showing it off to visitors!
April 4, 2025 at 4:45 AM
Now with a cool logo! #Coogee2025
February 9, 2025 at 9:38 PM
If you’ve sent me an email this year and I haven’t responded, interpret that as you like 🤣
December 20, 2024 at 3:59 AM
Yeah, what @ccanonne.bsky.social said!
December 16, 2024 at 11:21 AM