activity
20142025
most citedExploiting symmetry in variational quantum machine learning

188 citations · 484 across the 13 of their papers we have counts for

collaborators

13 papers

quant-ph2025

Towards fault-tolerant quantum computation with universal continuous-variable gates

Sheron Blair, Francesco Arzani, Giulia Ferrini +1

Continuous-variable (CV) systems have shown remarkable potential for quantum computation, particularly excelling in scalability and error correction through bosonic encoding. Withi…

quant-ph2022★ 188 cited

Exploiting symmetry in variational quantum machine learning

Johannes Jakob Meyer, Marian Mularski, Elies Gil-Fuster +4

Variational quantum machine learning is an extensively studied application of near-term quantum computers. The success of variational quantum learning models crucially depends on f…

quant-ph2021

Gottesman-Kitaev-Preskill codes: A lattice perspective

Jonathan Conrad, Jens Eisert, Francesco Arzani

We examine general Gottesman-Kitaev-Preskill (GKP) codes for continuous-variable quantum error correction, including concatenated GKP codes, through the lens of lattice theory, in…

quant-ph2019★ 41 cited

Bloch-Messiah reduction for twin beams of light

D. B. Horoshko, L. La Volpe, F. Arzani +3

We study the Bloch-Messiah reduction of parametric downconversion of light in the pulsed regime with a nondegenerate phase matching providing generation of twin beams. We find that…

quant-ph2018★ 12 cited

High-dimensional quantum encoding via photon-subtracted squeezed states

Francesco Arzani, Alessandro Ferraro, Valentina Parigi

We introduce a high-dimensional quantum encoding based on coherent mode-dependent single-photon subtraction from multimode squeezed states. This encoding can be seen as a generaliz…

quant-ph2018★ 11 cited

Random coding for sharing bosonic quantum secrets

Francesco Arzani, Giulia Ferrini, Frédéric Grosshans +1

We consider a protocol for sharing quantum states using continuous variable systems. Specifically we introduce an encoding procedure where bosonic modes in arbitrary secret states…

quant-ph2018★ 12 cited

Violating Bell inequalities with entangled optical frequency combs and multi-pixel homodyne detection

William N. Plick, Francesco Arzani, Nicolas Treps +2

We have theoretically investigated the possibility of using any of several continuous-variable Bell-type inequalities - for which the dichotomic measurements are achieved with coar…

quant-ph2017★ 55 cited

Versatile engineering of multimode squeezed states by optimizing the pump spectral profile in spontaneous parametric down-conversion

Francesco Arzani, Claude Fabre, Nicolas Treps

We study the quantum correlations induced by spontaneous parametric down-conversion (SPDC) of a frequency comb. We derive a theoretical method to find the output state correspondin…

quant-ph2017★ 64 cited

Reconfigurable optical implementation of quantum complex networks

Johannes Nokkala, Francesco Arzani, Fernando Galve +5

Network theory has played a dominant role in understanding the structure of complex systems and their dynamics. Recently, quantum complex networks, i.e. collections of quantum syst…

quant-ph2017★ 46 cited

Polynomial approximation of non-Gaussian unitaries by counting one photon at a time

Francesco Arzani, Nicolas Treps, Giulia Ferrini

In quantum computation with continous-variable systems, quantum advantage can only be achieved if some non-Gaussian resource is available. Yet, non-Gaussian unitary evolutions and…

quant-ph2016★ 6 cited

Reconfigurable Optical Quantum Networks Using Multimode Quantum Frequency Combs and Pulse Shaping

Y. Cai, J. Roslund, G. Ferrini +4

Multimode entanglement is quintessential for the design and fabrication of quantum networks, which play a central role in quantum information processing and quantum metrology. Howe…

quant-ph2016★ 15 cited

A direct approach to Gaussian measurement based quantum computation

Giulia Ferrini, Jonathan Roslund, Francesco Arzani +2

In this work we introduce a general scheme for measurement based quantum computation in continuous variables. Our approach does not necessarily rely on the use of ancillary cluster…

quant-ph2014★ 34 cited

Optimization of networks for measurement-based quantum computation

G. Ferrini, J. Roslund, F. Arzani +3

This work introduces optimization strategies to continuous variable measurement based quantum computation (MBQC) at different levels. We provide a recipe for mitigating the effects…