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20212026
most citedVertex and Energy Reconstruction in JUNO with Machine Learning Methods

48 citations · 54 across the 8 of their papers we have counts for

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quant-ph2026

ffsim: Faster simulation of fermionic quantum circuits

Kevin J. Sung, Inho Choi, Mirko Amico +14

We present ffsim, an open-source software library for fast simulation of fermionic quantum circuits. ffsim exploits conservation of particle number and the z component of spin, sym…

quant-ph2026

Exploring pathways towards quantum advantage in quantum chemistry: the case of a molecule with half-Möbius topology

Samuele Piccinelli, Stefano Barison, Alberto Baiardi +8

We report quantum chemistry calculations performed on superconducting quantum processors for a molecule exhibiting the half-Möbius electronic topology originally introduced by Ronč…

quant-ph2026

Stabilizer-based quantum simulation of fermion dynamics with local qubit encodings

Anthony Gandon, Samuele Piccinelli, Max Rossmannek +4

Simulating the dynamical properties of large-scale many-fermion systems is a longstanding goal of quantum chemistry, material science and condensed matter. Local fermion-to-qubit e…

quant-ph2025★ 3 cited

Quantum chemistry with provable convergence via randomized sample-based Krylov quantum diagonalization

Samuele Piccinelli, Alberto Baiardi, Stefano Barison +12

Quantum algorithms based on classical processing of individual samples have recently emerged as a promising route to perform large-scale quantum-chemical calculations on pre-fault-…

quant-ph2025★ 2 cited

A circuit-differentiation framework for Green's functions on quantum computers

Samuele Piccinelli, Francesco Tacchino, Ivano Tavernelli +1

We propose a general framework for computing Retarded Green's Functions (RGFs) on quantum computers by recasting their evaluation as a problem of circuit differentiation. Our propo…