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Amir Karamlou Profile
Amir Karamlou

@karamlouMIT

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Research Scientist at Google Quantum AI | Many-body quantum simulation with superconducting qubits

Santa Barbara, CA
Joined March 2019
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@karamlouMIT
Amir Karamlou
4 hours
RT @GoogleQuantumAI: We're excited to share our latest research, published in @Nature, about a new approach to quantum simulation that comb…
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@karamlouMIT
Amir Karamlou
9 days
It's been super cool to partially delve back into the physics I explored during my PhD, now with the benefit of more advanced tools and techniques.
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@karamlouMIT
Amir Karamlou
10 days
Check out the latest experiment probing topological ordering using our Willow processor!
@PedramRoushan
Pedram Roushan
10 days
Two experiments on topological ordering in Kitaev model. A @TU_Muenchen team uses @GoogleQuantumAI Willow processor, explores the emergence of Floquet topological ordering. The Harvard team simulates fermions with this model.
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@karamlouMIT
Amir Karamlou
2 months
RT @PedramRoushan: Dear academic colleagues ! (particularly early career quantum professors !) is accepting Resear…
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@karamlouMIT
Amir Karamlou
4 months
Can many-body quantum systems experience localization without disorder? Check out our latest manuscript to find out the answers!
@GoogleQuantumAI
Google Quantum AI
4 months
Many-body localization(MBL) in the absence of disorder? MBL is often linked to disorder. We show a disorder-free system achieving localization via quantum parallelism, enabling efficient disorder averaging.
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@karamlouMIT
Amir Karamlou
4 months
RT @PedramRoushan: In @Nature, we show a "stable computationally complex phase" is reachable with current quantum processors. Even with noi…
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@karamlouMIT
Amir Karamlou
4 months
RT @GoogleQuantumAI: Our research shows the existence of a "stable computationally complex phase" is reachable with current quantum process…
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@karamlouMIT
Amir Karamlou
6 months
Turns out that we can increase our surface code size *and* increase the error suppression factor! Check our our latest preprint @GoogleQuantumAI 🎉
@KJSatz
Kevin Satzinger
6 months
Check out our latest preprint @GoogleQuantumAI pushing the surface code to the next level! - Below threshold (Λ > 2) - Distance-7 logical qubit, 0.0014 error per cycle, >2x better than physical qubits - Explore 10^-10 error regime with repetition codes
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@karamlouMIT
Amir Karamlou
6 months
Today, we celebrated @PedramRoushan and our other team members at @GoogleQuantumAI, who've been with the team for 10 years 🎉 As a graduate student, I was inspired by their pioneering research, and now, as a colleague, I'm fortunate to learn more from them every day!
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@karamlouMIT
Amir Karamlou
8 months
@XueyueZ @Columbia @APAMMSECU @ColumbiaQuantum Congrats Sherry! Excited to hear about all the great results coming out of your group 🎉
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@karamlouMIT
Amir Karamlou
8 months
RT @XueyueZ: Our group is now online I’ll be joining @Columbia @APAMMSECU as an Assistant Professor
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@karamlouMIT
Amir Karamlou
8 months
RT @JarrodMcclean: To enable exciting new applications in learning from quantum data and building more modular quantum computers, Google Qu…
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@karamlouMIT
Amir Karamlou
9 months
RT @eunahkim: 🚀 Introducing the Quantum Attention Network (QuAN)! Using the attention mechanism to learn quantum complexity from limited, n…
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@karamlouMIT
Amir Karamlou
10 months
@LBananaN @Nature Thanks Long!
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@karamlouMIT
Amir Karamlou
10 months
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