QuantumComputingFAU
@FauQuantum
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Joined November 2022
One of our PhD students @LudwigNuetzel @UniFAU is developing QuantenSchafkopf - a Bavarian game combined with the rules of quantum mechanics. Make sure to follow the account
x.com
QuantenSchafkopf applies the rules of quantum mechanics to the traditional Bavarian card game Schafkopf! Learn more at https://t.co/Q83aGtmaDw
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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 Bavaria’s research landscape & opportunities in #Physics. Come say hi and join us for a game of #Schafkopf🃏
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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
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Check out our new pre-print on Tensor Product Decompositions of Quantum Circuits! We study how to split off 🪓 effective actions on small subsystems. https://t.co/R939R3TOuO Thanks for this nice collaboration 𝐀𝐫𝐬𝐚𝐥𝐚𝐧 𝐀𝐝𝐢𝐥, @qZoeHolmes @sornborg, @hartmannquantum !
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How do you solve chemistry with a quantum computer? The first step is understanding the Fermi-Hubbard model. 𝐋𝐮𝐜𝐚𝐬 𝐌𝐚𝐫𝐭𝐢 on Quantum Algorithmic Cooling at MPQ Garching. #Quantum @hartmannquantum @MPI_Quantum
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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
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🚨We're hiring!🚨 The Theory of Quantum Technology Group at FAU Erlangen-Nürnberg invites applications for a postdoc position in quantum algorithms and quantum simulation. For more information, see https://t.co/8fm6lu2hhJ
#QuantumComputing @hartmannquantum
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Our paper on classical optimization of Trotter sequences for quantum simulation has been published! Thanks to @MansRefiQ, Felix Fischer and @hartmannquantum for their work! @MunichQuantum @UniFAU
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
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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...
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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 👩💻👉 https://t.co/haKTq8vleM
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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
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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
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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...
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👉 Keep getting your QTML submissions in - deadline extended to June 23rd 👈 @Alessdip @GrosQmichi
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Be it Barren plateaus or sample problems, quantum optimization seems more and more out of sight for NISQ computers. In our latest pre-print, we pull the optimization of Hamiltonian simulation into classical pre-processing. Check out this 🧵 https://t.co/VCjQ05EPQu
@FauQuantum
arxiv.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...
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Can one find more efficient gate sequences than Trotter for digital quantum simulation? In our new preprint with @MansRefiQ we show that this is always the case, via a problem specific, classically computable cost function for optimizing gate sequences, https://t.co/Ud2V0rySKg
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Greetings from the DPG Spring Meeting in Hannover! Nathan McMahon, Stefan Wolf as well as @off__peak are there from @FauQuantum. Check out their talks! @hartmannquantum #DPGMeeting
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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. https://t.co/9EMyLsWT6H This 🧵 sums it up.
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Check out their talks: - Timo Eckstein: A64 at 10.48 am - Verena Feulner: K64 at 5.00 pm - Samuel Wilkinson: K73 at 5.48 pm - Petr Zapletal: Y70 at 10.36 am
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Thank you Timo Eckstein, @vefe101, @PetrZaple and Samuel Wilkinson for representing our institute at #APSMarch Meeting 2023 in Vegas (Baby)! @hartmannquantum @UniFAU
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