Francesco Tacchino

Efficient calculation of Green's functions on quantum computers via simultaneous circuit perturbation We propose a novel, ancilla-free algorithm to compute Retarded Green's Functions (RGFs) on quantum computers. Our proposal is based on real-time evolution and specifically designed circuit components,...

📣 Fresh out of the arXiv 🚀 — We introduce an ancilla‑free framework to reconstruct retarded Green’s functions (RGFs) on quantum computers. 🔗 Paper: arxiv.org/abs/2505.05563

Hybrid Tree Tensor Networks for Quantum Simulation Augmenting tensor networks with quantum states provides improvements over purely classical approaches for quantum many-body simulations.

Happy to see this one out on @apsphysics.bsky.social‘s PRX Quantum — we propose a way to augment classical tree tensor networks with #quantum states prepared on quantum processors to scale up quantum many-body simulations.

journals.aps.org/prxquantum/a...

Come to the Isle of Skye next June for some #quantum machine learning and simulations!

Yes, please! Thank you very much!

Of ladders and frames: informationally complete measurements for quantum algorithms

Sunday(!) tutorial on POVMs and how to implement them with the #Qiskit POVM toolbox (qiskit-community.github.io/povm-toolbox/)

Dual frame optimization for informationally complete quantum measurements

A poster based on journals.aps.org/pra/abstract... (work with excellent students from #IBMQuantum in Zurich)

Hybrid Tree Tensor Networks for quantum simulation Hybrid Tensor Networks (hTN) offer a promising solution for encoding variational quantum states beyond the capabilities of efficient classical methods or noisy quantum computers alone. However, their ...

Hybrid Tree Tensor Networks for Quantum Simulation

A poster based on arxiv.org/abs/2404.05784, joint work between #IBMQuantum and #Unipd

Representation Learning via Quantum Neural Tangent Kernels A quantum version of neural tangent kernel is developed to tackle the training dynamics of quantum machine learning and to help select appropriate variational quantum circuits targeted to specific pro...

Quantum Neural Networks Diagnostics with Neural Tangent Kernels

A talk based on journals.aps.org/prxquantum/a..., journals.aps.org/prl/abstract... (from #IBMQuantum + #UChicago) and new unpublished work with @zoufalc.bsky.social + F. Scala & D. Gerace from #Unipv

Hello world! Joining Bluesky from #QTML2024 in Melbourne ⚛️

Here's a little summary of what I am presenting this year (on behalf of many great collaborators):