activity
20072018
most citedExperimental Quantum Fast Hitting on Hexagonal Graphs

112 citations · 410 across the 9 of their papers we have counts for

collaborators

9 papers

quant-ph2018★ 112 cited

Experimental Quantum Fast Hitting on Hexagonal Graphs

Hao Tang, Carlo Di Franco, Zi-Yu Shi +9

Quantum walks are powerful kernels in quantum computing protocols that possess strong capabilities in speeding up various simulation and optimisation tasks. One striking example is…

quant-ph2011★ 2 cited

Bypassing state initialization in Hamiltonian tomography on spin-chains

C. Di Franco, M. Paternostro, M. S. Kim

We provide an extensive discussion on a scheme for Hamiltonian tomography of a spin-chain model that does not require state initialization [Phys. Rev. Lett. 102, 187203 (2009)]. Th…

quant-ph2010★ 96 cited

Mimicking the probability distribution of a two-dimensional Grover walk with a single-qubit coin

C. Di Franco, M. McGettrick, Th. Busch

Multi-dimensional quantum walks usually require large coin spaces. Here we show that the non-localized case of the spatial density probability of the two-dimensional Grover walk ca…

quant-ph2008★ 94 cited

Hamiltonian tomography in an access-limited setting without state initialization

C. Di Franco, M. Paternostro, M. S. Kim

We propose a scheme for the determination of the coupling parameters in a chain of interacting spins. This requires only time-resolved measurements over a single particle, simple d…

quant-ph2008★ 13 cited

A deeper insight into quantum state transfer from an information flux viewpoint

C. Di Franco, M. Paternostro, G. M. Palma

We use the recently introduced concept of information flux in a many-body register in order to give an alternative viewpoint on quantum state transfer in linear chains of many spin…

quant-ph2008★ 30 cited

Control-limited perfect state transfer, quantum stochastic resonance and many-body entangling gate in imperfect qubit registers

C. Di Franco, M. Paternostro, D. I. Tsomokos +1

We propose a protocol for perfect quantum state transfer that is resilient to a broad class of realistic experimental imperfections, including noise sources that could be modelled…