Senrui Chen

299 posts

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Senrui Chen

Senrui Chen

@CSenrui

Postdoc @IQIM_Caltech / PhD from @UChicagoPME / Quantum Information

Katılım Ağustos 2018
680 Takip Edilen787 Takipçiler
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Senrui Chen
Senrui Chen@CSenrui·
🪇Disambiguating Pauli noise in quantum computers scirate.com/arxiv/2505.226… Quantum noise characterization suffers from "gauge ambiguity" due to noisy initialization and measurements. We show this does not stop us from correctly mitigating errors, with up to 92-qubit experiments
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Haimeng Zhao
Haimeng Zhao@haimengzhao·
⚛ Can small quantum computers accelerate AI on massive classical data? Yes! I am absolutely thrilled to share our new work proving *honest* exponential quantum advantages in broadly applicable classical tasks. 🧵👇 Paper: arxiv.org/abs/2604.07639 Blog: quantumfrontiers.com/2026/04/09/unl…
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Tom Gur
Tom Gur@TomGur·
Excited about this new paper: it subsumes the quadratic Goldreich-Levin [BC26] and algorithmic PFR [ACDG26] papers, and makes explicit a connection between quadratic Fourier analysis and symplectic geometry, as speculated by Green and Tao. arxiv.org/abs/2604.04547
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John Preskill
John Preskill@preskill·
With extraordinary colleagues, we are developing new architectures for neutral-atom quantum processors that dramatically reduce the resource estimates for fault-tolerant quantum computing. This progress makes me optimistic that broadly useful quantum computing will soon be a reality. We’ll continue fundamental research @Caltech to advance quantum science and technology, while building fault-tolerant quantum machines and exploring their applications @TeamOratomic. It’s a very exciting time to be a quantum scientist! caltech.edu/about/news/cal…
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Hsin-Yuan Huang (Robert)
Hsin-Yuan Huang (Robert)@RobertHuangHY·
❓How many qubits are needed to break cryptographic systems🔐, e.g., ECC-256 in BTC? With a new fault-tolerant quantum architecture arxiv.org/abs/2603.28627, ECC-256 can now be broken with ~10k atomic qubits. The largest atom array has 6k+ atomic qubits: arxiv.org/abs/2403.12021
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Nobuyuki Yoshioka
Nobuyuki Yoshioka@komoinv·
Work appeared in PRL, on global quantum randomness generation from non-Haar local randomness. Imperfection of local randomness only puts a size-independent overhead on circuit depth, implying its robustness. Congrats Toshihiro, Ryotaro, and Yosuke! journals.aps.org/prl/abstract/1…
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PRX Quantum
PRX Quantum@PRX_Quantum·
Randomized measurements enable near-optimal estimation of multiple quantum parameters, providing a powerful and practical route to quantum metrology. @SisiZhou_ @CSenrui @Perimeter Read the paper: go.aps.org/45ndTQs
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PRX Quantum
PRX Quantum@PRX_Quantum·
Phase-space representations are used to characterize how the nonclassicality of a pure target state governs the difficulty of estimating its similarity to an unknown quantum state, both for qubits and continuous variable quantum systems. @InriaQinfo go.aps.org/4qry8VF
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PRX Quantum
PRX Quantum@PRX_Quantum·
Combining concepts from gate set tomography and Pauli noise learning yields a new protocol for noise characterization that is self-consistent and experimentally practical. @csenrui @S_Flammia 🔗 go.aps.org/49eRkjb
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Ludovico Lami
Ludovico Lami@LamiLudovico·
New paper out! arxiv.org/abs/2511.23451 What if I told you there’s a quantum channel that, given n copies of an unknown mixed state rho, spits out n identical copies of one of its purifications, chosen at random? 1/
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Pei Zeng
Pei Zeng@QubitPei·
Our work "Error-structure-tailored early fault-tolerant quantum computing" is finally out! In this work, we have shown how to perform the continuous logical-rotation gates Rz(\phi) as simple as CNOT, but still with good accuracy! scirate.com/arxiv/2511.199…
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Jens Eisert
Jens Eisert@jenseisert·
This is a publication I am extremely happy about. It is a bit rebellious, and yet it touches upon an old and important question: How can we learn an unknown quantum state from data? This is the quantum state tomography problem, and even the name “tomography” comes from the context of medical imaging, in which Radon transforms are invoked to recover higher-dimensional objects from lower-dimensional projections. Here, we prove that the old quantum state tomography is, in a precise way, a lot harder than anticipated. If one wants to recover an unknown quantum state up to a known trace-distance error, the sample complexity scales with this error to the power of the number of modes. But we also explain positive results on the recovery of Gaussian states and doped quantum states. What makes this work interesting is that it is an instance where a more precise, mathematically minded approach meets working knowledge in quantum optics. In the context of quantum technologies, researchers have become used to being precise about verification and learning schemes—think of exact errors and sample complexities. And, frankly, continuous-variable quantum state tomography is just extremely hard. I am excited to see this work appear in @NaturePhysics. nature.com/articles/s4156… Warm thanks to the dream team of @FrancescoMeleAn, @QuAntonioMele, @bittel_l, Vittorio Giovannetti, @LamiLudovico@lorenzo_leone_ and Salvatore Oliviero for this wonderful collaboration.
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Soumik Ghosh
Soumik Ghosh@soumik375·
A big problem with quantum supremacy claims is that verifying correctness of the experiments requires you to simulate the entire experiment classically. 🥲 In our new paper, we propose a second generation of experiments which can do *much* better. scirate.com/arxiv/2510.052… 1/7
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Francesco Anna Mele
Francesco Anna Mele@FrancescoMeleAn·
Excited and honored to be selected as a winner of the Boeing Quantum Creators Prize 🥳 This international award recognizes early-career researchers who are advancing quantum information science and engineering in new directions! 🔗chicagoquantum.org/2025BQCP
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beni
beni@rougeteaviolet·
New paper! Entanglement sharing schemes Collaboration with lots of students/postdocs/faculties arxiv.org/abs/2509.21462
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UChicago Pritzker Molecular Engineering
UChicago PME researchers, as part of an international collaboration, have demonstrated a groundbreaking quantum speed-up: a task that would take 20 million years classically was completed in just 15 minutes using quantum learning techniques. Read more: ms.spr.ly/6017ssUF9 “Ultimately, we could take these quantum signals and process them with a quantum processor, allowing us to have more applications with quantum advantage," said Prof. Liang Jiang, who led UChicago PME’s team in the collaboration
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John Preskill
John Preskill@preskill·
I’m deeply honored to receive the 2025 Academic Pioneer of the Year Award from the Quantum World Congress. Curiosity-driven fundamental research revealed the promise of quantum science and technology, and will be just as vital for future advances. quantumfrontiers.com/2025/09/18/joh…
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