Lukasz Cincio

Staff scientist at Los Alamos National Laboratory. I work on quantum computing, tensor networks and machine learning.

[Marco Cerezo @MvsCerezo]

🚨Applications for LANL's 2025 Quantum Computing Summer School are open!

Please apply here
👇
https://t.co/IqJ3erSKoC

Reposts appreciated!

[Marco Cerezo @MvsCerezo]

🚨Today I am very happy to announce our review of the Barren Plateau (BP) literature in variational quantum computing. 🎆

We hope that this work will be useful for those who want to catch up with the recent developments on BPs!

Link: https://t.co/ItL6rsWvef

See 🧵below

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[Marco Cerezo @MvsCerezo]

🚨⚛️Friendly reminder that the deadline for applications to the 2024 Los Alamos Quantum Computing Summer School is *this* Sunday 👉Jan 21st 👈!

If you haven't finished, or started, the application go do it now!

https://t.co/9F0n0A3F2H

RTs appreciated!

[Marco Cerezo @MvsCerezo]

🚨Applications are now open for the 2024 Los Alamos Quantum Computing Summer School!

⚛️Our school focuses on theory, applications, and programming of quantum computers.

Apply here:
https://t.co/9F0n0A3F2H

[Manuel Rudolph @QuantumManuel]

A new classical simulation kid is on the block 👲And we are benchmarking it against everyone's favorite example. Via classical surrogate simulation of 127-qubit systems, we can evaluate new circuit angles in fractions of a second on a laptop.
https://t.co/GKghcO8nMU

🧵1/7

[Matt Sims-Goh @Matt_L_Goh]

⚛️🔬 Our new work out today explores Lie-algebraic classical simulations for variational quantum computing. This work leverages the underlying Lie algebra of the circuit's gate generators to achieve (under certain conditions) efficient simulations. https://t.co/wmULrsy7OS

[Lukasz Cincio @LCincio]

@OmidFaizy10 They should rather apply for our postdoc position: https://t.co/YBFqCJRFSK

[Lukasz Cincio @LCincio]

Applications are now open for the 2023 Los Alamos Quantum Computing Summer School! Our school focuses on theory, applications, and programming of quantum computers. Apply here: https://t.co/Jg0O29Bf2S

[Lukasz Cincio @LCincio]

@sunshine_void88 It's mainly on-site. Remote work is possible in certain cases.

[Lukasz Cincio @LCincio]

@AashishTarika We take many factors into consideration while selecting candidates. Experience in quantum computing is certainly welcome but not strictly necessary.

[Lukasz Cincio @LCincio]

@NavMohan_24 Remote work is possible but not encouraged.

[Marco Cerezo @MvsCerezo]

📢 Our team at LANL is looking to hire postdocs to work in quantum computing, quantum information, and quantum machine learning. 🚨

Please see the ad below!
If you are interested please get in touch with me or @LCincio

RTs appreciated!

https://t.co/pioHI5b3iL

[Zoe Holmes @qZoeHolmes]

Ok, paper 2⃣ of the day is on QML enhanced quantum simulation

In one sense this is the ultimate refinement (i.e. most efficient) of our family of variational fast forwarding algorithms

In another, it's opening up a new approach to designing algorithms for quantum simulation 👇

[Matthias C. Caro @IMathYou2]

Here goes my first #QML paper tweet in 2022: "Out-of-distribution generalization for learning quantum dynamics" (https://t.co/Hw5EbYE3Hs)!

[Max Hunter Gordon @MaxHunterGordon]

New paper out today!
https://t.co/CqvALpGJp4
We show how to prepare the covariance matrix on a quantum computer to do quantum principal component analysis: use an ensemble average density matrix!
Thanks to @MvsCerezo , @LCincio and @ColesQuantum for a great collaboration! 1/n

[Lukasz Cincio @LCincio]

Our quantum computing group at Los Alamos National Laboratory is hiring a staff scientist to work in quantum information theory.

Apply here:
https://t.co/LdV0ExxorP

[Lukasz Cincio @LCincio]

Applications are now open for the 2022 LANL Quantum Computing Summer School! Our school focuses on theory, applications, and programming of quantum computers.

Apply here:
https://t.co/b3bZOwmPuZ

[Matthias C. Caro @IMathYou2]

PS: If you want to hear more about this work, please stop by my #QTML2021 talk tomorrow! You can livestream it via @riken_en's Youtube channel at https://t.co/Zjns1tJCGA.

[Matthias C. Caro @IMathYou2]

Today, it's time for me to tell you about a new paper on the theory of quantum machine learning (QML) that I'm particularly proud of: https://t.co/HRMAg1pisF

[PRX Quantum @PRX_Quantum]

The impact of hardware noise on #quantum circuits is circumvented using a ML strategy that outputs the best circuit design for optimizing the performance of a given algorithmic task under the noisy environment. @LCincio @LosAlamosNatLab @SandiaLabs

https://t.co/T96KIB8RBo