Gian Gentinetta

Job Opportunities at CQSL At the Computational Quantum Science Lab we typically have several openings yearly (at the PhD/ Postdoc level). Applications are reviewed twice a year, at the beginning of April and at the beginning o...

I have a new opening for several funded PHD positions in my group (the Computational Quantum Science Lab, at EPFL). If you are a talented, motivated student, please apply here www.epfl.ch/labs/cqsl/jo.... I am especially looking to hire in scientific ML applications/NQS; not in quantum computing.

Job Opportunities at CQSL At the Computational Quantum Science Lab we typically have several openings yearly (at the PhD/ Postdoc level). Applications are reviewed twice a year, at the beginning of April and at the beginning o...

I am looking for a talented postdoc to join my group at EPFL, in Lausanne, Switzerland. Goal is to develop and apply state-of-the-art neural quantum states for electronic structure and related applications. Position to be filled soon, excellent conditions! Apply here: www.epfl.ch/labs/cqsl/jo...

Computational Quantum Science Lab at the APS Global Physics Summit At this year's APS Global Physics Summit in Anaheim, the Computational Quantum Science Lab showcased several contributions, spanning quantum dynamics, neural-network methodologies, topological quantum...

At #APS2025, our lab presented 8 innovative studies spanning quantum-classical hybrid simulations, neural-network quantum states, quantum dynamics, and quantum chemistry. Read the highlights of our contributions here! actu.epfl.ch/news/computa... #APSsummit

Challenging the Quantum Advantage Frontier with Large-Scale Classical Simulations of Annealing Dynamics Recent demonstrations of D-Wave's annealing-based quantum simulators have established new benchmarks for quantum computational advantage [arXiv:2403.00910]. However, the precise location of the classi...

We provide a classical simulation of DWave quantum "s-word" paper.
Here it is arxiv.org/abs/2503.08247 , great work by Linda Mauron at the CQS Lab, check it out! (1/4)

Here is an overview figure describing the method. Huge thank you to my co-authors @frmetz.bsky.social and @gppcarleo.bsky.social for all the help and feedback on this work! 🧵6/6

On the other hand, the quantum circuit increases the expressivity of the classical ansatz - allowing for the simulation of dynamics with few parameters. This helps making the evolution using TDVP more stable.🧵5/6

Importantly: The circuit contains no variational parameters, any derivatives can be computed purely classically using backpropagation. We show that a simple Jastrow ansatz can improve the fidelity of Trotterized quantum dynamics of spin systems. 🧵4/6

💻 Given the samples from the quantum device, we can construct the equations of motion to update the parameters in the classical ansatz in order to correct for the approximation of the Hamiltonian. For this, we extended TDVP for explicitly time-dependent ansätze.🧵3/6

⚛️On the quantum device, we evolve an initial state in time according to an approximation of the target Hamiltonian. This scenario arises when coarse Trotterization or a hardware efficient simplification of the Hamiltonian is used. This circuit is then sampled at each time step in multiple bases.🧵2/6

Correcting and extending Trotterized quantum many-body dynamics A complex but important challenge in understanding quantum mechanical phenomena is the simulation of quantum many-body dynamics. Although quantum computers offer significant potential to accelerate th...

New paper out! We introduce a hybrid approach of simulating quantum dynamics where we use a classically 💻 parameterized function to correct approximate Trotterized time-evolution ⚛️ circuits. arxiv.org/abs/2502.13784 🧵1/6