| Literature DB >> 23531788 |
Jonathan C F Matthews1, Konstantinos Poulios, Jasmin D A Meinecke, Alberto Politi, Alberto Peruzzo, Nur Ismail, Kerstin Wörhoff, Mark G Thompson, Jeremy L O'Brien.
Abstract
Quantum mechanics defines two classes of particles-bosons and fermions-whose exchange statistics fundamentally dictate quantum dynamics. Here we develop a scheme that uses entanglement to directly observe the correlated detection statistics of any number of fermions in any physical process. This approach relies on sending each of the entangled particles through identical copies of the process and by controlling a single phase parameter in the entangled state, the correlated detection statistics can be continuously tuned between bosonic and fermionic statistics. We implement this scheme via two entangled photons shared across the polarisation modes of a single photonic chip to directly mimic the fermion, boson and intermediate behaviour of two-particles undergoing a continuous time quantum walk. The ability to simulate fermions with photons is likely to have applications for verifying boson scattering and for observing particle correlations in analogue simulation using any physical platform that can prepare the entangled state prescribed here.Entities:
Year: 2013 PMID: 23531788 PMCID: PMC3609020 DOI: 10.1038/srep01539
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Simulating quantum interference of quantum particles.
(a) Quantum interference of N identical particles with arbitrary statistics launched into a network described by matrix A leads to quantum correlated detection events at the output. (b) Experimental simulation of quantum interference can be directly achieved by sharing N-partite, N-level entanglement across N copies of A, where the choice of simulated particle statistics is controlled by the phase of initial entanglement.
Figure 2Experimental setup.
(a) The parametric down-conversion based photon pair source with quarter-waveplates (QWP), half-waveplates (HWP) and a polarisation beamsplitter cube (PBS) used as a polariser, to control the initial state before input into the chip. Down conversion in the nonlinear bismuth borate (BiBO) crystal yields degenerate photon pairs (808 nm, filtered with 2 nm full width, half maximum interference filters, IF) collected into polarisation maintaining fibres (PMF). See Methods for further details. (b) Two copies of the quantum walk unitary are realised by accessing the TE and TM modes of the polarisation preserving waveguide array. Three input modes of the array are used in the experiment (−1,0,1) accessed via waveguide bends that fan to a pitch of 250 μm and butt-coupled to an array of PMF. Output is accessed via a fan of waveguide from the coupling region to a pitch of 125 μm. See Methods for details. (c) The detection scheme consists of five PBS and single photon counting module (SPCM) pairs. PMF coupled to the chip launch the output photons onto each PBS which separates TE and TM modes guided in the waveguide. The two outputs of each PBS are collected into multi-mode fibre (MMF) coupled to SPCMs for correlated detection via counting electronics.
Figure 3Experimental simulation of particle statistics correlation functions for input (−1, 0).
Experimental correlation matrices (left: a,c,e,g,i) for simulating quantum interference of non-interacting particle pairs with five different particle statistics. Ideal correlation matrices for this experiment are plotted (right: b,d,f,h,j) using Eq. (4). The data ranges from corresponding to Bose-Einstein statistics (ϕ = 0, (a,b)) through fractional statistics (ϕ = π/4, (c,d); ϕ = π/2, (e,f); ϕ = 3π/4, (g,h)) to Fermi-Dirac statistics (ϕ = π, (i,j)). (k) The correlation matrices are displayed as normalised probability distributions with white for probability and black for . Solid coloured squares represent measured correlations, hatched squares correspond to coincidences that cannot be measured due to mis-match between fibre array separation and waveguide pitch (see Methods). Coincidence rates are corrected for relative detection efficiency.
Figure 4Experimental simulation of particle statistics correlation functions for input (−1, 1) with data laid out as for Fig. 3.
Similarity S for each experimental simulation of particle quantum interference with parameter ϕ, for input (−1, 0) given in Fig. 3 and input (−1, 1) given in Fig. 4
| Phase, | S (%) for input (−1, 0) | S (%) for input (−1, 1) |
|---|---|---|
| 0 | 95.8 ± 0.6 | 90.9 ± 0.5 |
| 95.2 ± 0.7 | 93.6 ± 0.6 | |
| 94.1 ± 0.7 | 93.5 ± 0.6 | |
| 3 | 94.4 ± 0.7 | 94.1 ± 0.6 |
| 91.6 ± 0.7 | 92.7 ± 0.6 |