Zoe Holmes
@qZoeHolmes
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Quantum physicist. Assistant Prof at EPFL. Climber.
Joined September 2020
Don't wanna be here?
Send us removal request.
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We’re looking for a post doc to join us exploring the intersection of quantum chemistry and quantum computing
- 2 year position
- Based in the QIC group at EPFL (Lausanne)
- Collaboration with Roche (Basel)
Email me if interested
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Come do a PhD with me at EPFL! We'll work on developing quantum algorithms to solve real world physics problems on near term quantum computers ⚛️🖥️⚗️. It'll be lots of fun🗻 ⛷️🧗🍫🧀. For more info/to apply see: . Please pass on/feel free to DM questions.
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Today in my quantum information theory course we took a break from the maths to have some fun debating the measurement problem🕺
The final votes are below 👇
I was quite pleased to see strong agreement that the
➡️ measurement problem is a problem for physicists ⬅️
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If I'd had my way the title of would have been this meme.
Our case study found that in all cases where QCNNs work (i.e. train and generalize) - they're possible to classically simulate.
We set it as a challenge to the community to prove us wrong.
Are you interested in Quantum Convolutional Neural Networks?
What if they were indeed… classically simulable?
"Quantum Convolutional Neural Networks are (Effectively) Classically Simulable"
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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 👇
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⭐️Looking for two post docs to come join us at EPFL ⭐️
One focused broadly on quantum learning theory.
The other, joint with Christa Zoufal and Stefan Woerner at IBM Quantum, working broadly on quantum simulation.
Apply 👉
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And now for some light entertainment. Let me introduce to you...
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Suppose you have an unknown target unitary you want to learn a model of…
Suppose you have no way of coherently interacting/performing joint quantum measurements on your target and model systems…
How well can you do?
We address this here
See 🧵👇
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This is clearly written by someone who has never successfully appealed a parking fine with a latex-formatted letter
Information does not have more (or less) authority when it is presented in a LaTeX-formatted PDF.
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👉 Keep getting your QTML submissions in - deadline extended to June 23rd 👈
@Alessdip
@GrosQmichi
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I guess this is a good a time to Twitter-announce that I will be moving to EPFL next autumn 🙂💃. Very excited to be part of
@QSECenter_EPFL
. My group will focus on twisting near term quantum hardware into solving physics problems 🖥️⚛️⚗️ .
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Hey, first I want to stress that the title of this paper is a genuine question!
We had so many fun arguments while writing that even
@MvsCerezo
and I got tired of arguing 🙃
👉 We think this is a conversation the community needs to have. Please do let us know what you think 👈
Do you work on variational quantum algorithms or quantum machine learning?
If so, please check our latest article:
Here, we ask: Are barren plateau-free models classically simulable? Should we rethink variational QC as a whole?
LONG 🧵 below
1/n
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Decided to break from the traditional fondue and go for Ethiopian to welcome the new PhD and master's students
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I honestly thought the talks last week at IPAMs workshop on Mathematical Aspects of Quantum Learning were perhaps the highest quality of any conference I’ve been to. Or maybe I just like this stuff (and the LA sun just put me in a good mood). Either way, you can check them out 👇
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Ideally, for VQAs, we'd like to use ansätze that are highly expressive and trainable.
Here we present a fundamental relationship between these key properties.
The more expressive the ansatz the flatter its landscape i.e. you can't have both.
@kunal_phy
@MvsCerezo
@ColesQuantum
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I'm acutely aware I've not got enough memes in my QP2 lecture notes, so I asked my students to help me out.
Here's a 🧵with some of them.
Let's start with this one- a brilliant explanation of the interaction picture. (If you're confused watch ).
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Out now in Nature Comms:
(And, I know these things ultimately don’t matter, but I’ll confess I am a particularly proud of this one because it was both my first last author paper and is my first nature comms 🙂)
Suppose you study the action of a unitary on a small number of product states...
Would you expect to be able to predict its action on a large number of entangled states?
Not naively… but that’s the intriguing/exciting conclusion of our new paper
Check out Matthias’ thread 👇
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EPFL is recruiting a Tenure Track Assistant Prof in quantum computing.
The position is joint between the schools of Communication Sciences and Basic Sciences.
More details here:
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QTML was a success- we finally managed to take a group photo with all our eyes open.
@QuantumManuel
@s_thanasilp
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Normalize academics talking about their failures:
We tried to have a group BBQ at the lake.
Normalize academics talking about their failures. I'll go first: We got rejected at Berghain on Saturday night.
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They for some reason rejected my proposed title of: « Damn I forgot I recorded this »
But if you're interested in seeing me struggle not to swear, ramble about how I went from annoying my physics teacher to where I am now and generally make a bit of a tit of myself... then👇👀
Ep 8 of BTK has just dropped 🎤 ⬇️
@qZoeHolmes
, Assistant Professor of Physics at
@EPFL_en
, gets candid about her journey to quantum.
Ft: lessons from undergrad, advice on working in science, and some Timbit tasting and hockey chat for good measure 🏒🇨🇦
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CALL FOR PAPERS
QTML 2023: 7th International Conference on Quantum Techniques in Machine Learning
🇨🇭CERN, Nov. 19-24, 2023.
Local organizers:
@GrosQmichi
, Sofia Vallecorsa & CERN Quantum Technology Initiative.
Program chairs:
@Alessdip
& myself.
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Hey we've proven that weight-truncated Pauli propagation doesn't just work for noisy circuits...
but also typical parameterized quantum circuits/chaotic circuits (on any geometry!)
Check out or
@acl_angrisani
's thread below
I’m extremely happy to share our latest work on classical simulation of expectation values for a wide family of noiseless quantum circuits.
Thread below 🧵👇
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Please also appreciate
@MvsCerezo
's beautifully designed new icon for a quantum computer.
(I say this as someone who also standardly has random pictures of fridges in their slides)
Also, it is getting harder a harder to put a new spin on a figure that has been done a million times.
5/6
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Suppose you study the action of a unitary on a small number of product states...
Would you expect to be able to predict its action on a large number of entangled states?
Not naively… but that’s the intriguing/exciting conclusion of our new paper
Check out Matthias’ thread 👇
Here goes my first
#QML
paper tweet in 2022: "Out-of-distribution generalization for learning quantum dynamics" ()!
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👀
Professors in 2024 deciding which memes from 2004 to include in their slides
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I also obviously need to smugly tweet about our lakeside group meeting as though we standardly do this every day.
(Many important blackboard arguments were had - including whether or not 22.5 degrees is warm swimming water.)
Who wouldn't want to chat about physics (or algorithms) and intermittently take swim breaks in the lake? I certainly would.
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And now for something different- a foundations paper where we ask the question:
<< What is a quantum subsystem? >>
Or, more poetically:
<< Seeking (Dead or Alive) Cats: A Search for Classical Subsystems in Quantum Worlds >>
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What's the best loss to train a quantum generative model?
Take a look at our new work:
Punchline:
⛔️ Don't use KL Divergence.
⛔️ Don't use the MMD with a constant bandwidth
☑️ Use the MMD with a range of O(1) to O(n) bandwidths
See 🧵👇
What makes quantum generative models trainable? And can trainable loss functions be used to reliably learn complicated data distributions?
Find out in our new group's first push into the field of generative QML.
1/8 🧵
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On Christmas eve (when I certainly didn't check arXiv 🧗♀️🏜️🎄), Yigit,
@nolanjcoble
,
@sornborg
and I snuck out a paper on implementing non-linear operations on a QC. In case you were also happily distracted by the festivities 🎅 I thought I would bring it to your attention now 🙂.
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Out today:
LOWESA can be used to create a classical surrogate which can quickly simulate:
👉 whole families of different Hamiltonians
with
👉 different initial states
and
👉 different final measurements
We show this on everyone's favourite new benchmark
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.
🧵1/7
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Looking for a post doc working in quantum?
Applications are now open to join us at EPFL 👇
With this fellowship you can collaborate with my group or any of the other
@QSECenter_EPFL
affiliated groups at EPFL.
📢 The
@QSECenter_EPFL
has opened a call for QSE Postdoctoral Fellowships! Join the thriving QSE community and work on cutting-edge interdisciplinary research in quantum science and engineering. Apply now!
@EPFL_en
#PostdoctoralFellow
#quantum
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To avoid potential misconceptions...
The claim is that:
1) It's the optimization loop/PQC bit that can be simulated with poly efficiency, with high probability, classically.
2) A quantum computer may very much still be needed in an initial (poly) data acquisition phase
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Now we're back into the swing of things, I thought I'd highlight to you this paper we snuck out over the break.
👉We study the potential of Quantum Extreme Learning through the lens of Fourier expressivity and exponential concentration 👈
Check out
@ThiparatC
's great 🧵👇
Exponential concentration repeatedly emerges in QML, and we here show it appears in a popular QML framework: Quantum Extreme Learning Machines (
#QELMs
). Is there still hope for a quantum advantage in QELMs?
Check out our latest work here
🧵 1/n
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✴️Quantum Machine Intelligence special issue for QTML 2023 ✴️
Submission deadline April 1st.
Work not presented at QTML can also be submitted.
Submit here: and select “SI: QTML 2023: Quantum Techniques in Machine Learning”.
@Alessdip
@GrosQmichi
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Had a lot of fun working on this project with my summer students Joe and Kaitlin
Here we battle the noise limitations of current quantum hardware to implement long-time high fidelity dynamical simulations 🥷⚛️🖥️
@gili_kaitlin
@LCincio
@ColesQuantum
@sornborg
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Need some classical shadows?
Instead of spending time/money collecting your own, feel free to use ours.
Kindly hosted by
@PennyLaneAI
Calling all QML and algorithms researchers!
We've added the quantum hardware-generated classical shadow data from "The power and limitations of learning quantum dynamics incoherently"✨
Minimize your time to research and download the dataset here👇
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If at first you don't succeed...
Normalize academics talking about their failures:
We tried to have a group BBQ at the lake.
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Thanks for having us! 🧡
(Forgot to take photos because I was having too much fun arguing)
Great pleasure having an entire crowd from the team around
@qZoeHolmes
visiting us here in Berlin, discussing notions of variational
#quantumalgorithms
.
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Could scrambling be studied using QML? It doesn't look easy... check out:
We've proven that QML algorithms to learn scrambling unitaries exhibit barren plateaus.
Fun project with
@AndrewArrasmit2
, Bin, Andreas,
@ColesQuantum
,
@sornborg
Details below.
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💃
#QHack2022
Speaker 🎤
Join Zoe Holmes (
@qZoeHolmes
) for a talk on:
"Expressibility and trainability: balancing the ingredients of an effective Variational Quantum Algorithm"
Monday Feb 14 at 12:00 Noon EST
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Same experience here. Made my day 🌞
It's been a busy term, I've felt like I've been distracted by grant writing (i.e. tossing epsilon coins) and letting things slip...
So is great to know that at least one thing I'm doing is appreciated 🧡
these students won’t believe just how much such feedback means to me, and how much work goes into making a course 🥹
#madeMyDay
🙏
#teaching
#feedback
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🎄The inaugural EPFL quantum theory Christmas party, with
@gppcarleo
and
@vinniesavon
, was a success. 🎄
It featured an obscene quantity of cheese 🧀 (ofc), slide karaoke 🎤⚛️ (highly recommend), and, most importantly, some outrageous dancing 👯♂️ (I'll spare you the photos).
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Not quite. I spent a third of my talk discussing caveats and opportunities. And stressed no one has a crystal ball.
The black knight is still fighting…
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⭐️ Check out our white paper on the potential for using quantum computing to study high energy physics ⭐️
(Was great to get to be involved with this - learnt loads!)
⚛️ Our Quantum Computing for High Energy Physics white paper, led by
@CERNquantum
,
@desy_cqta
and
@IBMResearch
is finally out 😌. It was a great experience to discuss what we can do for HEP using QC in the next few years 🚀⚡️
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New work with
@sornborg
and Tyler Volkoff on the quantum learning of continuous variable systems.
We present entanglement-enhanced algorithms for compiling CV unitaries, as well as No-Free-Lunch theorems bounding their fundamental limits.
See & below
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❤️❤️❤️❤️❤️❤️❤️❤️
(We've achieved quite a lot as a group but those 130 tacos might be our biggest accomplishment yet)
Today we had a farewell lunch for my esteemed friend and collaborator
@qZoeHolmes
who will soon move to EPFL to start her own group. 🤟
We wish you the best of luck in this new endeavor!💫💯
Also, we had just destroyed 130 tacos 🌮 , so sorry for the messy table.
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Peer review gets some stick but this time we are *genuinely* very grateful for the helpful feedback from our reviewers.
We originally framed exp. concentration as a trainability issue. In fact, it's a generalization issue. But one countered by using more shots (not data).
🧵👇
Our kernel work is now published in
@NatureComms
🙂
Since the first arxiv, our understanding about the consequence of kernel concentration has changed drastically. We are sincerely grateful for the referee for pointing out this subtlety.
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I’m well chuffed that our no-go theorem for learning scramblers using QML has now been published:
For a nice popular summary check out:
@AndrewArrasmit2
@sornborg
@ColesQuantum
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Group snowtubing outing in Leysin! Highly recommend.
(Though I can still feel my neck from the loop-the-loop).
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DEADLINE TODAY
👉 Keep getting your QTML submissions in - deadline extended to June 23rd 👈
@Alessdip
@GrosQmichi
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FYI the joint first authors Hanna and Jenny are only undergrads and did a great job so keep an eye out for them :)
joint work with Hanna Westerheim, Jingxuan Chen,
@qZoeHolmes
, Ivy Luo,
@TheshNura
, Dhrumil Patel,
@SooryaRethin
, and Kathie Wang. We provide a variational quantum algorithm for bounding the ground-state energy from below, based on semidefinite programming duality and other tricks
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🔥Fun little theory paper analysing how well a state can be approximated by a lower rank state 🔥
Got applications for preparing compressed versions of states and PCA ⚛️🖥️
(Also, follow
@naezzell
! He's new to quantum twitter.)
Is it possible to approximate a complicated quantum state with a simpler one?
We formally define the problem and solve it in our recent paper “the quantum low-rank approximation problem” (QLRAP) and discuss it's applications to PCA in . [1/9]
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'Format our papers'? Hardly.
Please can we have a collective theraputic bitch about the amount of inane editorial work they ask of us?
To name a few:
- Change Fig. to Figure
- Put all figs at the end !?
and my oh-so-time-consuming least favourite...
- Cut cites to 5 names
Tomorrow
@Nature
staff will go on strike:
Nature made $2 billion in 2022 but can't afford to pay their staff... Perhaps the $12,290 Gold Open Access fee we pay them to format our papers and upload the PDF is not enough to cover the costs?
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Come! I'll be fun. (Applications open until July 16th)
🏖️So pleased to welcome
@ElisaBaumer
from
@IBMResearch
and
@qZoeHolmes
from
@QSECenter_EPFL
to introduce our students to quantum computation 🥽
Learn from excellent speakers at a beautiful location, join us at 🏝️🏊
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If VQAs are to work then ☀️ WARM STARTS ☀️, where you find a way to initialize closer to a solution, are a key avenue to investigate.
In we take an iterative variational approach to quantum simulation as a case study to analyze them.
See Ricard's 🧵👇
Is a barren plateau landscape trainable? If we start close to the actual solution, then probably yes!?
Here we study variational quantum simulation to explore whether warm starts can be a possible solution to exponential concentration.
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In an ideal world it would be great if all data obtained from quantum hardware was publicly available.
@PennyLaneAI
are taking steps in that direction by hosting sets.
If you have any you could offer - please do get in touch with them.
Check out this and other datasets through our page:
Get in touch with us to upload your data and make it easy for others to replicate and expand on your results.
Stay tuned for new datasets in the upcoming months!
4/4
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Successful first joint group retreat with
@cqs_lab
and
@vinniesavon
's group. Was great to get to hear more about what everyone is working on, as well as get to know each other better with a view over the lake and the odd abricotine.
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Our paper linking expressibility and trainability for QNNs is now published!
@kunal_phy
@MvsCerezo
@ColesQuantum
A fundamental relationship between expressibility and trainability of an ansatz is derived, providing designing strategies that help to avoid barren plateaus.
@qZoeHolmes
@kunal_phy
@MvsCerezo
@ColesQuantum
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I can take on masters students through this. Contact me if interested. 🌻
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Check out this nice new paper by my soon-to-be student
@QuantumManuel
. Looking forward to working with you :)
Did you know that quantum algorithms on
#quantum
#computers
can leverage the best classical performance of
#tensor
#networks
and improve them? 😮Check out our paper where we showcase the synergy between these two technologies!
1/5🧵
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QIP complete ✅ on to conference two ✈️
👇Do come say Hi! 👇
Don't miss our LANL
#APSMarch
in person talks by
@MaxHunterGordon
,
@MartinLaroo
,
@qZoeHolmes
and myself.
Hit me up with a message if you want to chat in Chicago!
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Pleased to see this one out
In what may (or may not) be a personal record it took nearly 5 months from scientific acceptance to get them to accept our .tex file (and not butcher any equations in the proofs)
Good work Timo on all the time-consuming editorial changes 💪
Large-scale simulations of Floquet physics on near-term
#quantum
computers just published in npj quantum information:
Many thanks to Timo Eckstein, Piotr Czarnik, Jian-Xin Zhu,
@hartmannquantum
,
@LCincio
,
@sornborg
&
@qZoeHolmes
!
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➡️ Reminder to submit to the QTML special issue ⬅️
We've pushed the deadline back to April 11th so as not to overlap with the Easter break 🐥
✴️Quantum Machine Intelligence special issue for QTML 2023 ✴️
Submission deadline April 1st.
Work not presented at QTML can also be submitted.
Submit here: and select “SI: QTML 2023: Quantum Techniques in Machine Learning”.
@Alessdip
@GrosQmichi
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Public service announcement. It's been dumping up in the mountains this last week 🗻. If you have a couple of extra days tagged on and you're super keen you might be able to get some early season powder turns in ⛷️.
Looking forward to all the great talks!!
1 week left for
#QTML23
@CERN
we start on Sunday with super interesting workshop
@RobertHuangHY
@ElisaBaumer
and more to come in the next 5 days dense schedule!
@qZoeHolmes
@CERNquantum
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My QHACK is TODAY 12 ET having swapped with
@MvsCerezo
(thanks a zillion Marco for that ♥️).
I'll be talking about what makes a good QNN.
(I've been ill so may be a little groggy but will still be fun! And I'm 100% not ashamed to admit that I will be doing it in my slippers.)
I will be swapping
#QHack2022
talk schedules with my colleague
@qZoeHolmes
.
‼️Hence, my talk is 👉TODAY at 12 ET👈.
Zoe's talk will be Thursday 12 ET.
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The time has come around again to shout about how fun and exciting and productive the LANL quantum computing summer school is :)
See link below to apply 👇
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:
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Excited to share with you QHiFFS! (pronounced, ofc, 'quiffs')
A quantum algorithm for simulating high frequency Floquet systems.
Punchline:
- Uses change of basis to simplify simulation
- 20 qubit implementation on trapped ion device
- Detailed error analysis
More details👇
Check out our new work on simulating periodically driven (Floquet) systems! We managed a high fidelity simulation on a 20 qubit trapped ion device + provide an in depth error analysis of our quantum algorithm.
This 🧵 sums it up.
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🔥
Mark your calendars: Nov 21, 16:00 CET,
@sitanch
from
@Berkeley_EECS
will give an online talk to EPFL "Learning to predict arbitrary quantum processes", organized by
@qZoeHolmes
. Free and open to the public.
Learn more:
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⚠️Warning- this is my long awaited opportunity to inflict quantum speed networking on the EPFL community.
Come prepared to mingle.
Today at 12pm join our first QSE Quantum Networking event
@EPFL_en
! Meet your fellow quantum researchers, colleagues, and classmates over a pizza lunch, all PhDs, postdocs, students, & PIs are welcome to join. 🍕
📍CE 1 100
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A chance to bond with quantum community at EPFL- come!
If you've not signed up there should still be enough to eat- we recruited the all-Italians-know-each-other network to acquire 8m of pizza from Mami.
(And the talk will be recorded + uploaded for anyone outside EPFL)
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Extra shout out to Sacha for getting his first paper out 😊
He learnt super fast and was key to many of the most important insights.
👉Follow him (
@LerchSacha
) because I’m sure he’s going to do great things.
(And I don’t just mean find the best fish 🐟 and mushrooms 🍄)
What makes quantum generative models trainable? And can trainable loss functions be used to reliably learn complicated data distributions?
Find out in our new group's first push into the field of generative QML.
1/8 🧵
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Join us next Wednesday to indulge in some quantum foundations () and pizza with Andy Albrecht () from UC Davis
The QSE Center's Quantum Seminars return next week with
@AlbrechtPhysics
of
@ucdavis
giving the talk "Origin of probabilities and their application to the multiverse"!
🗓️ Weds Sept. 20
⏰ 13:00 - come at 12:30 for 🍕!
📍CE 1 106
@EPFL_en
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Welcome
@s_thanasilp
! 🇨🇭🧀
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Exciting announcement. Very much looking forward to being involved.
We're excited to announce that starting in Fall 2022,
@EPFL_en
will offer a new Master's in Quantum Science and Engineering! This multidisciplinary program will be taught by professors from
@epflSB
,
@ICepfl
and
@EPFLEngineering
.
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Pleased to share some progress in understanding quantum landscapes...
We've proven that a special feature of quantum costs is that it's impossible to have a barren plateau without a narrow gorge (or vice versa).
For details check out Andrew's nice thread below.
Happy world quantum day! Here is a new paper from my coauthors
@qZoeHolmes
@MvsCerezo
@ColesQuantum
and me. We show that for parameterized quantum circuit landscapes barren plateaus and narrow gorges always come hand in hand. Check it out!
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Had fun chatting with
@QuantumMarks
about our (
@sornborg
@ColesQuantum
@AndrewArrasmit2
) work on learning scramblers. Check out his nice summary here:
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@ThiparatC
This work was pushed by our brilliant team of summer students
@_WeijieX_
,
@giorgiofacelli
, Mehrad Sahebi, and Owen Agnel.
Keep an eye out for them! I'm sure they'll all do great things. And in fact they're currently looking for PhDs...
(If I could I'd keep them all myself)
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💜⚛️Great new initiative from
@QSECenter_EPFL
⚛️💜
Apply to join us (🇨🇭🗻🧀 ) for your master's thesis! 😁
Happy
#InternationalWomensDay
! One of our main goals is to increase the number of women in
#quantum
. So we’re proud to announce the INSPIRE Quantum Master’s Awards
@epfl
for female master’s students, offering support of CHF8000!
Learn more & apply!
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The less glamorous side to new faculty life- stranded at an airport for the 4th time this year. Am I unlucky or is it the same for everyone? (I left 2 hours for this connection but a team effort from French air traffic control and
@British_Airways
still managed to screw me.)
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By the way, I will also be looking for a post doc 🥷 (just haven't put out a formal ad yet). If you are interested please do get in touch!
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The core idea is that training data formed from the evolution of a system at short times
Can be used to train a time dependent quantum neural network
Which could be then used to predict the evolution of the system at longer times
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And finally this one.
I originally gave this the wooden spoon prize.
But now I've had it explained to me and I have to concede it is quite clever... if a sign that people have spent too many hours online
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Fun team effort with summer students. Check out Nic’s thread below 👇
Myself,
@AcademiBall
@AlizaSi61960382
@markwilde
@sornborg
@ColesQuantum
@qZoeHolmes
have developed a new NISQ friendly algorithm to compile a potentially unknown quantum state into a parameterized quantum circuit.
arXiv: [1/9]
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💫
PRX Quantum 5, 037001 (2024) - Quantum Computing for High-Energy Physics: State of the Art and Challenges
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Lots of fun working with Joe Gibbs,
@matthias
,
@RobertHuangHY
,
@naezzell
,
@sornborg
,
@LCincio
,
@ColesQuantum
.
For more, see:
1⃣
2⃣ .
And yes we did use a count down, and two submitters, to try and get adjacent arXiv numbers 🙃
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This result will make learning/compiling quantum unitaries much easier both classically and on NISQ devices
Which has applications in a range of areas from quantum sensing and Hamiltonian learning to dynamical simulation (more on that in a sec) and optimal circuit design
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@markwilde
I've made multiple pledges to
@qunalsharma
along these lines and lost them all so far. He got a nice chalk bag out of a PRL of mine. And I still owe him a trip to Switzerland for my current job :)
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Quantum kernels are often said to enjoy trainability guarantees... in stark contrast to QNNs which famously suffer from Barren Plateaus.
Here we show that quantum kernels can in fact face a similar trainability barrier.
👇👇 👇
Kernel methods are famous for their trainability guarantees. But, is this always true for quantum kernel-based models where kernel values are statistically estimated from quantum hardware ?
Check out:
with
@samson_wang
,
@MvsCerezo
and
@qZoeHolmes
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On a completely different topic. I get many unusual 'Is this publication yours?' emails. But this might be my strangest yet. 🦤
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As with last time, pizza will be provided before the talk on a first-come-first-serve basis so head there early to grab a light lunch and catch up with colleagues :)
We are happy to announce the next “Quantum Seminar” speaker this week at EPFL. This Wednesday, April 26, Iris Cong from Harvard University talks about Fault-Tolerant Quantum Computation with Rydberg Atoms.
🗓️April 26, 2023
🕛 13:15-14:15
📍ELA 1
@EPFL_en
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@QuantumSpain_ES
@EPFL_en
Many thanks for the typo promotion but I can confirm that I am still happily an Assistant Prof :)
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Our first all Swiss🇨🇭paper. And god it was fun.
A lot of it was about finding the best way to think about it. Once we'd got that (i.e. 101 blackboard arguments later) the results just dropped out.
Thanks
@QuantumManuel
@LerchSacha
@s_thanasilp
@oriel_kiss
@GrosQmichi
!
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This is now published in PRR!
On Christmas eve (when I certainly didn't check arXiv 🧗♀️🏜️🎄), Yigit,
@nolanjcoble
,
@sornborg
and I snuck out a paper on implementing non-linear operations on a QC. In case you were also happily distracted by the festivities 🎅 I thought I would bring it to your attention now 🙂.
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🇸🇪
Register until the 1st of August to listen and talk to our awesome cast of speakers!
@chalmersuniv
@wacqt_sweden
#quantum
#computing
RT very much appreciated ❤️
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Also shout out to Joe and
@QuantumManuel
for putting up with my numerical demands- this was me telling them that I wanted a 20 qubit implementation done by the start of QTML (which was less than 10 days off).
(In the end wrapping it up took a while longer than expected... )
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