hartmanngroup
@hartmannquantum
Followers
231
Following
9
Media
16
Statuses
108
Erlangen, Germany
Joined April 2017
Our paper on #Quantum #Tensor #Product Decompositions, or QTPD in short๐, has been published in @PRX_Quantum! Thanks for the nice collaboration @CosmicCharsi @hartmannquantum @qZoeHolmes and @sornborg
A novel quantum-classical algorithm designed to classically capture the effective action of quantum circuits on bipartite systems is introduced to help predict nonlocality and reduce quantum computing resources. @MansRefiQ @sornborg @CosmicCharsi
https://t.co/hC7EHzmJvu
0
3
12
Last week, MQV had the pleasure of being part of the traditional Bavarian Evening of the 73rd Lindau Nobel Laureate Meeting. A special highlight was the premiere of the card game #QuantenSchafkopf ๐ developed by MQV researchers at @UniFAU. Find out moreโก๏ธ https://t.co/WmOQLefbXR
0
7
13
Excited to show our #Quantenschafkopf game to participants of #Lino24 @lindaunobel. Check https://t.co/SHHuV6a3rG for a sneak peek. Great idea by @LudwigNuetzel ! @FauQuantum @UniFAU @MunichQuantum
We are looking forward to #Lino24 @lindaunobel & can't wait to welcome you at the #BavarianEvening. Together w/ our colleagues @MunichQuantum we want to introduce you to Bavariaโs research landscape & opportunities in #Physics. Come say hi and join us for a game of #Schafkopf๐
0
4
9
I had a great time at the 18th Capri Spring School! It was great to present my research on a multi-qubit coupler and discuss with other students and experts. I want to especially highlight the great lectures of Michel Devoret, @PedramRoushan and @AndreasAtETH !
0
1
14
New preprint on quantum cooling for fermionic systems: https://t.co/ZcKWufvis3 We present a cooling algorithm to find ground and thermal states of fermionic Hamiltonians. Many thanks to Lucas Marti and @hartmannquantum! @FauQuantum @MunichQuantum
0
3
18
How do you solve chemistry with a quantum computer? The first step is understanding the Fermi-Hubbard model. ๐๐ฎ๐๐๐ฌ ๐๐๐ซ๐ญ๐ข on Quantum Algorithmic Cooling at MPQ Garching. #Quantum @hartmannquantum @MPI_Quantum
0
2
6
Check out our new pre-print on Tensor Product Decompositions of Quantum Circuits! We study how to split off ๐ช effective actions on small subsystems. https://t.co/R939R3TOuO Thanks for this nice collaboration ๐๐ซ๐ฌ๐๐ฅ๐๐ง ๐๐๐ข๐ฅ, @qZoeHolmes @sornborg, @hartmannquantum !
1
4
32
New preprint on efficient encodings of job shop scheduling problems that can be used on quantum computers https://t.co/M0F7eQRnAC. Thanks to @Siemens and @MunichQuantum for support. @FauQuantum @UniFAU
0
1
3
Congratulations to our PhD student Verena Feulner who won one of the poster prizes at the WE-Heraeus-Seminar on Quantum Computing and Simulation in the NISQ Era in Bad Honnef for her poster about her research on a SNAIL-element used as a multi-qubit coupler. @vefe101 @FauQuantum
0
1
10
New preprint on designing fast high fidelity gates for supercindtucting qubits via reinforcement learning (RL) https://t.co/cQCM9EzZWs
@FauQuantum @UniFAU @MunichQuantum @QuantenTech
0
0
3
New Paper out: Phys. Rev. Applied 20, 064037 (2023) - Tunable coupler to fully decouple and maximally localize superconducting qubits https://t.co/Haq3zvwPPa
@FauQuantum @eichler__chris @MunichQuantum @QuantenTech
journals.aps.org
Enhancing the capabilities of superconducting quantum hardware, requires higher gate fidelities and lower crosstalk, particularly in larger-scale devices, in which qubits are coupled to multiple...
0
0
1
๐จWe're hiring!๐จ The Theory of Quantum Technology Group at FAU Erlangen-Nรผrnberg invites applications for a postdoc position in quantum algorithms and quantum simulation. For more information, see https://t.co/8fm6lu2hhJ
#QuantumComputing @hartmannquantum
1
3
9
Excited to have you on board!
Excited to announce that as of Nov. 1 we are part of MUNIQC-SC https://t.co/abwkotGyvI, aiming to scale and advance superconducting quantum computing. Looking forward to contribute to this collaborative effort. @QuantenTech @hartmannquantum @UniFAU
0
0
3
New paper out on short gate sequences for time evolution: Phys. Rev. Research 5, 043035 (2023) - Problem-specific classical optimization of Hamiltonian simulation https://t.co/Vfc3eTCWdK
@MansRefiQ @FauQuantum @MunichQuantum @UniFAU
journals.aps.org
Nonequilibrium time evolution of large quantum systems is a strong candidate for quantum advantage. Variational quantum algorithms have been put forward for this task, but their quantum optimization...
0
2
6
Munich Quantum Valley gathers in Eichstรคtt to review and discuss the progress we made over the last year. Looking forward to in-depth insights into the research of our consortia and Lighthouse Projects as well as new connections and cross-sectional collaboration possibilities.
0
1
18
I am really happy and honored to be featured here! If you want to know what I am researching @hartmannquantum, @FauQuantum @UniFAU, check out the post and link from @physikerinnen.
Verena Feulner #PhysikerinderWoche - Verena is currently pursuing her Ph.D. in quantum computing at @UniFAU... @BMBF_Bund #physikerinnen #womeninscience #physikerin ๐ฉโ๐ป๐ https://t.co/haKTq8vleM
0
4
20
Quantum Convolutional Neural Networks are a new tool for exploring condensed matter physics on Quantum Computers. In our new preprint, we show how to make them NISQ friendly, that is error tolerant and shallow depth. https://t.co/fM9TGgzBfK
@FauQuantum @MunichQuantum @UniFAU
0
3
21
I finally delivered my inaugural lecture @UniFAU. I'm glad we waited until Covid had safely passed and we could enjoy this without restrictions. Thanks to everyone who was there. It was big fun for me. @FauQuantum
0
1
10
Decoupling neighboring superconducting qubits is essential for operating large processors with high precision. In https://t.co/nR7ZvEDpnL we show how to achieve this for strongly localized computational basis states and propose a coupler design. @eichler__chris @FauQuantum
arxiv.org
Enhancing the capabilities of superconducting quantum hardware, requires higher gate fidelities and lower crosstalk, particularly in larger scale devices, in which qubits are coupled to multiple...
0
2
8