www.arxiv.org/abs/2503.17140
www.arxiv.org/abs/2503.17140
Rouven's talk arxiv.org/abs/2405.04596
Dima's talk arxiv.org/abs/2411.17822
Tom's talk arxiv.org/abs/2409.13008
Rouven's talk arxiv.org/abs/2405.04596
Dima's talk arxiv.org/abs/2411.17822
Tom's talk arxiv.org/abs/2409.13008
A new method to train neural network quantum states across phase diagram such that their weights form strongly correlated representations, from which phase transitions may be detected.
Congratulations to Vinicius, Thomas Spriggs and Saqar 🎉
arxiv.org/abs/2503.17140
A new method to train neural network quantum states across phase diagram such that their weights form strongly correlated representations, from which phase transitions may be detected.
Congratulations to Vinicius, Thomas Spriggs and Saqar 🎉
arxiv.org/abs/2503.17140
There is a scene in the ‘Hidden Figures’ where the unsurpassable Dorothy Vaughan (portrayed by Octavia Spencer) makes the IBM computer work: www.youtube.com/watch?v=1C5l...
There is a scene in the ‘Hidden Figures’ where the unsurpassable Dorothy Vaughan (portrayed by Octavia Spencer) makes the IBM computer work: www.youtube.com/watch?v=1C5l...
Also big thank you and congratulations to Ana Silva for the excellent co-supervision of Aram's PhD project.
Now onwards and upwards with the rest of the PhD 💪 Congrats Aram!
Also big thank you and congratulations to Ana Silva for the excellent co-supervision of Aram's PhD project.
Now onwards and upwards with the rest of the PhD 💪 Congrats Aram!
Rouven's poster: arxiv.org/abs/2405.04596
Tom's poster: iopscience.iop.org/article/10.1...
Definitely go talk to them if you are in Dresden this week!
Rouven's poster: arxiv.org/abs/2405.04596
Tom's poster: iopscience.iop.org/article/10.1...
Definitely go talk to them if you are in Dresden this week!
Simulating large scale quantum states EXACTLY is impossible on classical computers we have today. Luckily, there are many smart approximative methods! But how much 'quantumness' do they really capture?
Read our paper to find out:
iopscience.iop.org/article/10.1...
Simulating large scale quantum states EXACTLY is impossible on classical computers we have today. Luckily, there are many smart approximative methods! But how much 'quantumness' do they really capture?
Read our paper to find out:
iopscience.iop.org/article/10.1...
QDsim is now published in SciPost Codebases: scipost.org/SciPostPhysC...
If you want to generate charge stability diagram for any device configuration: 'pip install qdsim' + tutorials here qdsim.readthedocs.io/en/latest/
Congratulations Valentina, Charles, and Vini! 🎉
QDsim is now published in SciPost Codebases: scipost.org/SciPostPhysC...
If you want to generate charge stability diagram for any device configuration: 'pip install qdsim' + tutorials here qdsim.readthedocs.io/en/latest/
Congratulations Valentina, Charles, and Vini! 🎉
In collaboration with Andersen Lab we realised a TUNABLE phase transition in the SSH model. Our work is now published in Physical Review Research journals.aps.org/prresearch/a...
Big congratulations to Lukas, Miguel, and Jin 🎉
In collaboration with Andersen Lab we realised a TUNABLE phase transition in the SSH model. Our work is now published in Physical Review Research journals.aps.org/prresearch/a...
Big congratulations to Lukas, Miguel, and Jin 🎉
Our open source automated analysis of activity of biological neurons is now published in Frontiers in Neuroscience!
Congratulations Vini, Anouk and Valentina! 🎉
Read here:
frontiersin.org/journals/neu...
Install here: automea.readthedocs.io/en/latest/
Our open source automated analysis of activity of biological neurons is now published in Frontiers in Neuroscience!
Congratulations Vini, Anouk and Valentina! 🎉
Read here:
frontiersin.org/journals/neu...
Install here: automea.readthedocs.io/en/latest/
* the sun
* the coffee
* unbelievable nature
* all the brilliant physics I got to learn and discuss
Special thanks for Muhammad Usman @UofMelbourne, the whole #QTML2024 organising team, and Andrea Morello UNSW for being such gracious and generous hosts.
* the sun
* the coffee
* unbelievable nature
* all the brilliant physics I got to learn and discuss
Special thanks for Muhammad Usman @UofMelbourne, the whole #QTML2024 organising team, and Andrea Morello UNSW for being such gracious and generous hosts.
In this one we addressed the question of how you can tell whether your real life, real space, noisy quantum experiment has topological modes or not.
Big congratulations to Jin, Dima and Lukas.
Read out preprint here: arxiv.org/abs/2411.17822
In this one we addressed the question of how you can tell whether your real life, real space, noisy quantum experiment has topological modes or not.
Big congratulations to Jin, Dima and Lukas.
Read out preprint here: arxiv.org/abs/2411.17822
🎉 QMAI PAPER DAY 🎉
Do you know how randomized benchmarking is 'easy to do, hard to understand'?
This ends now: arxiv.org/abs/2410.08683 has all the proofs spelled out and code ready to test different methods.
Huge congratulations to Ana Silva!
🎉 QMAI PAPER DAY 🎉
Do you know how randomized benchmarking is 'easy to do, hard to understand'?
This ends now: arxiv.org/abs/2410.08683 has all the proofs spelled out and code ready to test different methods.
Huge congratulations to Ana Silva!
Quantum information and condensed matter think about simulatability and accuracy very differently. In this work we hope to lay foundation for a productive dialogue between the two.
Congratulations Tom, Arash and Bokai!
arxiv.org/abs/2409.13008
Quantum information and condensed matter think about simulatability and accuracy very differently. In this work we hope to lay foundation for a productive dialogue between the two.
Congratulations Tom, Arash and Bokai!
arxiv.org/abs/2409.13008
We built a quantum generative model that can reproduce both spatial and temporal correlations in biological neural network with surprisingly low amount of trainable parameters.
Read our preprint here: arxiv.org/abs/2409.09125
#QMAIfall🍂🍁
We built a quantum generative model that can reproduce both spatial and temporal correlations in biological neural network with surprisingly low amount of trainable parameters.
Read our preprint here: arxiv.org/abs/2409.09125
#QMAIfall🍂🍁
First things first: Over the summer we entered our double affiliation era ( 🎉 ) and joined QuTech ( 🎉 🎉 🎉 ) in addition to our TU Delft Applied Sciences affiliation.
First things first: Over the summer we entered our double affiliation era ( 🎉 ) and joined QuTech ( 🎉 🎉 🎉 ) in addition to our TU Delft Applied Sciences affiliation.