86 citations · 400 across the 24 of their papers we have counts for
24 papers
Entanglement distillation based on polarization and frequency hyperentanglement
Dan Xu, Changjia Chen, Brian T. Kirby +1
Entanglement distillation has many applications in quantum information processing and is an important tool for improving the quality and efficiency of quantum communication, crypto…
ManQala: Game-Inspired Strategies for Quantum State Engineering
Onur Danaci, Wenlei Zhang, Robert Coleman +6
The ability to prepare systems in specific target states through quantum engineering is essential for realizing the new technologies promised by a second quantum revolution. Here,…
Demonstration of machine-learning-enhanced Bayesian quantum state estimation
Sanjaya Lohani, Joseph M. Lukens, Atiyya A. Davis +6
Machine learning (ML) has found broad applicability in quantum information science in topics as diverse as experimental design, state classification, and even studies on quantum fo…
Complete characterization of quantum correlations by randomized measurements
Nikolai Wyderka, Andreas Ketterer, Satoya Imai +5
The fact that quantum mechanics predicts stronger correlations than classical physics is an essential cornerstone of quantum information processing. Indeed, these quantum correlati…
Deep learning for enhanced free-space optical communications
Manon P. Bart, Nicholas J. Savino, Paras Regmi +8
Atmospheric effects, such as turbulence and background thermal noise, inhibit the propagation of coherent light used in ON-OFF keying free-space optical communication. Here we pres…
Coexistent quantum channel characterization using spectrally resolved Bayesian quantum process tomography
Joseph C. Chapman, Joseph M. Lukens, Muneer Alshowkan +3
The coexistence of quantum and classical signals over the same optical fiber with minimal degradation of the transmitted quantum information is critical for operating large-scale q…
Broadband polarization-entangled source for C+L-band flex-grid quantum networks
Muneer Alshowkan, Joseph M. Lukens, Hsuan-Hao Lu +4
The rising demand for transmission capacity in optical networks has motivated steady interest in expansion beyond the standard C-band (1530-1565 nm) into the adjacent L-band (1565-…
Dimension-adaptive machine-learning-based quantum state reconstruction
Sanjaya Lohani, Sangita Regmi, Joseph M. Lukens +3
We introduce an approach for performing quantum state reconstruction on systems of qubits using a machine-learning-based reconstruction system trained exclusively on qubits…
Generation of polarization entanglement via the quantum Zeno effect
Ian C. Nodurft, Harry C. Shaw, Ryan T. Glasser +2
The quantum Zeno effect reveals that the continuous observation of a quantum system can result in significant alterations to its evolution. Here, we present a method for establishi…
Data-Centric Machine Learning in Quantum Information Science
Sanjaya Lohani, Joseph M. Lukens, Ryan T. Glasser +2
We propose a series of data-centric heuristics for improving the performance of machine learning systems when applied to problems in quantum information science. In particular, we…
Telecom-band Hyperentangled Photon Pairs from a Fiber-based Source
Changjia Chen, Calvin Xu, Arash Riazi +6
Hyperentanglement, the simultaneous and independent entanglement of quantum particles in multiple degrees of freedom, is a powerful resource that can be harnessed for efficient qua…
Improving application performance with biased distributions of quantum states
Sanjaya Lohani, Joseph M. Lukens, Daniel E. Jones +3
We consider the properties of a specific distribution of mixed quantum states of arbitrary dimension that can be biased towards a specific mean purity. In particular, we analyze mi…
Machine-Learning-Derived Entanglement Witnesses
Alexander C. B. Greenwood, Larry T. H. Wu, Eric Y. Zhu +2
In this work, we show a correspondence between linear support vector machines (SVMs) and entanglement witnesses, and use this correspondence to generate entanglement witnesses for…
Exploring the relationship between the faithfulness and entanglement of two qubits
Gabriele Riccardi, Daniel E. Jones, Xiao-Dong Yu +2
A conceptually simple and experimentally prevalent class of entanglement witnesses, known as fidelity witnesses, detect entanglement via a state's fidelity with a pure reference st…
Machine learning pipeline for quantum state estimation with incomplete measurements
Onur Danaci, Sanjaya Lohani, Brian T. Kirby +1
Two-qubit systems typically employ 36 projective measurements for high-fidelity tomographic estimation. The overcomplete nature of the 36 measurements suggests possible robustness…
On the experimental feasibility of quantum state reconstruction via machine learning
Sanjaya Lohani, Thomas A. Searles, Brian T. Kirby +1
We determine the resource scaling of machine learning-based quantum state reconstruction methods, in terms of inference and training, for systems of up to four qubits when constrai…
Exploring classical correlations in noise to recover quantum information using local filtering
Daniel E. Jones, Brian T. Kirby, Gabriele Riccardi +2
A general quantum channel consisting of a decohering and a filtering element carries one qubit of an entangled photon pair. As we apply a local filter to the other qubit, some mutu…
Machine learning assisted quantum state estimation
Sanjaya Lohani, Brian T. Kirby, Michael Brodsky +2
We build a general quantum state tomography framework that makes use of machine learning techniques to reconstruct quantum states from a given set of coincidence measurements. For…
Compensation of polarization dependent loss using noiseless amplification and attenuation
R. A. Brewster, B. T. Kirby, J. D. Franson +1
Polarization dependent loss (PDL) is a serious problem that hinders the transfer of polarization qubits through quantum networks. Recently it has been shown that the detrimental ef…
Tuning quantum channels to maximize polarization entanglement for telecom photon pairs
Daniel E. Jones, Brian T. Kirby, Michael Brodsky
Quantum networks entangle remote nodes by distributing quantum states, which inevitably suffer from decoherence while traversing quantum channels. Pertinent decoherence mechanisms…
Efficient Entanglement Distillation for Quantum Channels with Polarization Mode Dispersion
Liangzhong Ruan, Brian T. Kirby, Michael Brodsky +1
Quantum entanglement shared by remote network nodes serves as a valuable resource for promising applications in distributed computing, cryptography, and sensing. However, distribut…
Entanglement enabled telescopic arrays in the presence of decoherence
Siddhartha Santra, Brian T. Kirby, Vladimir S. Malinovsky +1
We consider quantum enhancement of direct-detection interferometric measurements to increase telescope resolution. We propose a protocol of measuring interferometric visibility fun…
Entanglement Swapping of Two Arbitrarily Degraded Entangled States
Brian T. Kirby, Siddhartha Santra, Vladimir S. Malinovsky +1
We consider entanglement swapping, a key component of quantum network operations and entanglement distribution. Pure entangled states, which are the desired input to the swapping p…
Macroscopic State Interferometry Over Large Distances Using State Discrimination
B. T. Kirby, J. D. Franson
The propagation of macroscopic entangled states over large distances in the presence of loss is of fundamental interest and may have practical applications as well. Here we describ…