Megan Agnew
University of Ottawa
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Publication
Featured researches published by Megan Agnew.
Nature Communications | 2012
M. Edgar; Daniel S. Tasca; Frauke Izdebski; Ryan E. Warburton; Jonathan Leach; Megan Agnew; Gerald S. Buller; Robert W. Boyd; Miles J. Padgett
The light produced by parametric down-conversion shows strong spatial entanglement that leads to violations of EPR criteria for separability. Historically, such studies have been performed by scanning a single-element, single-photon detector across a detection plane. Here we show that modern electron-multiplying charge-coupled device cameras can measure correlations in both position and momentum across a multi-pixel field of view. This capability allows us to observe entanglement of around 2,500 spatial states and demonstrate Einstein–Podolsky–Rosen type correlations by more than two orders of magnitude. More generally, our work shows that cameras can lead to important new capabilities in quantum optics and quantum information science.
Nature Photonics | 2013
Jeff Z. Salvail; Megan Agnew; Allan S. Johnson; Eliot Bolduc; Jonathan Leach; Robert W. Boyd
Researchers report the first direct measurements of the wavefunction and Dirac distributions for polarization states of light. Their implementation determines the general description of the pure state of a qubit. This technique is simple, fast and general, and has an advantage over the conventional approach of performing quantum state tomography.
Optics Express | 2012
Melanie McLaren; Megan Agnew; Jonathan Leach; Filippus S. Roux; Miles J. Padgett; Robert W. Boyd; Andrew Forbes
Orbital angular momentum (OAM) entanglement is investigated in the Bessel-Gaussian (BG) basis. Having a readily adjustable radial scale, BG modes provide an alternative basis for OAM entanglement over Laguerre-Gaussian modes. We show that the OAM bandwidth in terms of BG modes can be increased by selection of particular radial wavevectors and leads to a flattening of the spectrum, which allows for higher dimensionality in the entangled state. We demonstrate entanglement in terms of BG modes by performing a Bell-type experiment and showing a violation of the Clauser-Horne-Shimony-Holt inequality for the ℓ = ±1 subspace. In addition, we use quantum state tomography to indicate higher-dimensional entanglement in terms of BG modes.
Nature Physics | 2015
Katja Ried; Megan Agnew; Lydia Vermeyden; Dominik Janzing; Robert W. Spekkens; Kevin J. Resch
Katja Ried1,2,3∗, Megan Agnew1,2∗, Lydia Vermeyden, Dominik Janzing, Robert W. Spekkens and Kevin J. Resch Institute for Quantum Computing, University of Waterloo, Waterloo, Ontario, Canada, N2L 3G1 Department of Physics & Astronomy, University of Waterloo, Waterloo, Ontario, Canada, N2L 3G1 Perimeter Institute for Theoretical Physics, 31 Caroline St. N, Waterloo, Ontario, Canada, N2L 2Y5 Max Planck Institute for Intelligent Systems, Spemannstraße 38, 72076 Tübingen, Germany and ∗These authors contributed equally to this work. (Dated: June 20, 2014)
Scientific Reports | 2015
Francesco Tonolini; Susan Chan; Megan Agnew; Alan Lindsay; Jonathan Leach
Accurately establishing the state of large-scale quantum systems is an important tool in quantum information science; however, the large number of unknown parameters hinders the rapid characterisation of such states, and reconstruction procedures can become prohibitively time-consuming. Compressive sensing, a procedure for solving inverse problems by incorporating prior knowledge about the form of the solution, provides an attractive alternative to the problem of high-dimensional quantum state characterisation. Using a modified version of compressive sensing that incorporates the principles of singular value thresholding, we reconstruct the density matrix of a high-dimensional two-photon entangled system. The dimension of each photon is equal to d = 17, corresponding to a system of 83521 unknown real parameters. Accurate reconstruction is achieved with approximately 2500 measurements, only 3% of the total number of unknown parameters in the state. The algorithm we develop is fast, computationally inexpensive, and applicable to a wide range of quantum states, thus demonstrating compressive sensing as an effective technique for measuring the state of large-scale quantum systems.
Science Advances | 2016
Yingwen Zhang; Filippus S. Roux; Thomas Konrad; Megan Agnew; Jonathan Leach; Andrew Forbes
A simple approach to preparing high-dimensional entangled states by quantum interference. Many protocols in quantum science, for example, linear optical quantum computing, require access to large-scale entangled quantum states. Such systems can be realized through many-particle qubits, but this approach often suffers from scalability problems. An alternative strategy is to consider a lesser number of particles that exist in high-dimensional states. The spatial modes of light are one such candidate that provides access to high-dimensional quantum states, and thus they increase the storage and processing potential of quantum information systems. We demonstrate the controlled engineering of two-photon high-dimensional states entangled in their orbital angular momentum through Hong-Ou-Mandel interference. We prepare a large range of high-dimensional entangled states and implement precise quantum state filtering. We characterize the full quantum state before and after the filter, and are thus able to determine that only the antisymmetric component of the initial state remains. This work paves the way for high-dimensional processing and communication of multiphoton quantum states, for example, in teleportation beyond qubits.
Physical Review Letters | 2013
John M. Donohue; Megan Agnew; Jonathan Lavoie; Kevin J. Resch
Time-bin encoding is a robust form of optical quantum information, especially for transmission in optical fibers. To readout the information, the separation of the time bins must be larger than the detector time resolution, typically on the order of nanoseconds for photon counters. In the present work, we demonstrate a technique using a nonlinear interaction between chirped entangled time-bin photons and shaped laser pulses to perform projective measurements on arbitrary time-bin states with picosecond-scale separations. We demonstrate a tomographically complete set of time-bin qubit projective measurements and show the fidelity of operations is sufficiently high to violate the Clauser-Horne-Shimony-Holt-Bell inequality by more than 6 standard deviations.
The Rochester Conferences on Coherence and Quantum Optics and the Quantum Information and Measurement meeting (2013), paper W6.13 | 2013
Megan Agnew; Jeff Z. Salvail; Jonathan Leach; Robert W. Boyd
We produce all four Bell states in the orbital angular momentum degree of freedom and use a new class of accessible nonlinear entanglement witnesses to verify their entanglement.
Physical Review Letters | 2014
Megan Agnew; Eliot Bolduc; Kevin J. Resch; Sonja Franke-Arnold; Jonathan Leach
The ability to uniquely identify a quantum state is integral to quantum science, but for nonorthogonal states, quantum mechanics precludes deterministic, error-free discrimination. However, using the nondeterministic protocol of unambiguous state discrimination enables the error-free differentiation of states, at the cost of a lower frequency of success. We discriminate experimentally between nonorthogonal, high-dimensional states encoded in single photons; our results range from dimension d=2 to d=14. We quantify the performance of our method by comparing the total measured error rate to the theoretical rate predicted by minimum-error state discrimination. For the chosen states, we find a lower error rate by more than 1 standard deviation for dimensions up to d=12. This method will find immediate application in high-dimensional implementations of quantum information protocols, such as quantum cryptography.
Scientific Reports | 2017
Lena Mertens; Matthias Sonnleitner; Jonathan Leach; Megan Agnew; Miles J. Padgett
We report an algorithm for reconstructing images when the average number of photons recorded per pixel is of order unity, i.e. photon-sparse data. The image optimisation algorithm minimises a cost function incorporating both a Poissonian log-likelihood term based on the deviation of the reconstructed image from the measured data and a regularization-term based upon the sum of the moduli of the second spatial derivatives of the reconstructed image pixel intensities. The balance between these two terms is set by a bootstrapping technique where the target value of the log-likelihood term is deduced from a smoothed version of the original data. When compared to the original data, the processed images exhibit lower residuals with respect to the true object. We use photon-sparse data from two different experimental systems, one system based on a single-photon, avalanche photo-diode array and the other system on a time-gated, intensified camera. However, this same processing technique could most likely be applied to any low photon-number image irrespective of how the data is collected.