Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Simulating a ring-like Hubbard system with a quantum computer
Philippe Suchsland, P. Barkoutsos, I. Tavernelli +2 more·Apr 13, 2021
We develop a workflow to use current quantum computing hardware for solving quantum many-body problems, using the example of the fermionic Hubbard model. Concretely, we study a four-site Hubbard ring that exhibits a transition from a product state to...
Training Quantum Neural Networks on NISQ Devices
Kerstin Beer, D. List, Gabriel Muller +2 more·Apr 13, 2021
The advent of noisy intermediate-scale quantum (NISQ) devices offers crucial opportunities for the development of quantum algorithms. Here we evaluate the noise tolerance of two quantum neural network (QNN) architectures on IBM's NISQ devices, namely...
Entropoid Based Cryptography
D. Gligoroski·Apr 12, 2021
By analogy with the developed cryptographic theory of discrete logarithm problems, we define several hard problems in Entropoid based cryptography, such as Discrete Entropoid Logarithm Problem (DELP), Computational Entropoid Diffie-Hellman problem (C...
Ion–photonic frequency qubit correlations for quantum networks
S. Connell, J. Scarabel, E. Bridge +5 more·Apr 12, 2021
Efficiently scaling quantum networks to long ranges requires local processing nodes to perform basic computation and communication tasks. Trapped ions have demonstrated all the properties required for the construction of such a node, storing quantum ...
QZNs: Quantum Z-numbers
Jixiang Deng, Yong Deng·Apr 12, 2021
Because of the efficiency of modeling fuzziness and vagueness, Z-number plays an important role in real practice. However, Z-numbers, defined in the real number field, lack the ability to process the quantum information in quantum environment. It is ...
On quantum neural networks
A.A. Ezhov·Apr 12, 2021
The early definition of a quantum neural network as a new field that combines the classical neurocomputing with quantum computing was rather vague and satisfactory in the 2000s. The widespread in 2020 modern definition of a quantum neural network as ...
Resolving catastrophic error bursts from cosmic rays in large arrays of superconducting qubits
M. McEwen, L. Faoro, K. Arya +50 more·Apr 12, 2021
Scalable quantum computing can become a reality with error correction, provided that coherent qubits can be constructed in large arrays 1 , 2 . The key premise is that physical errors can remain both small and sufficiently uncorrelated as devices sca...
Reduced density matrix sampling: Self-consistent embedding and multiscale electronic structure on current generation quantum computers
J. Tilly, P. V. Sriluckshmy, Akashkumar Patel +6 more·Apr 12, 2021
We investigate fully self-consistent multiscale quantum-classical algorithms on current generation superconducting quantum computers, in a unified approach to tackle the correlated electronic structure of large systems in both quantum chemistry and co...
Application of quantum machine learning using the quantum kernel algorithm on high energy physics analysis at the LHC
S. Wu, Shaojun Sun, W. Guan +20 more·Apr 11, 2021
Quantum machine learning could possibly become a valuable alternative to classical machine learning for applications in High Energy Physics by offering computational speed-ups. In this study, we employ a support vector machine with a quantum kernel e...
Quantum Power Flow
Fei Feng, Yifan Zhou, Peng Zhang·Apr 11, 2021
This letter is a proof of concept for quantum power flow (QPF) algorithms which underpin various unprecedentedly efficient power system analytics exploiting quantum computing. Our contributions are three-fold: 1) Establish a quantum-state-based fast ...
A quantum strategy to compute the jet quenching parameter q^\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hat{q}$$\
J. Barata, C. Salgado·Apr 10, 2021
Jet quenching, the modification of the properties of a QCD jet when the parton cascade takes place inside a medium, is an intrinsically quantum process, where color coherence effects play an essential role. Despite a very significant progress in the ...
Quantum Machine Learning for Power System Stability Assessment
Yifan Zhou, Peng Zhang·Apr 10, 2021
Transient stability assessment (TSA) is a cornerstone for resilient operations of today's interconnected power grids. This paper is a confluence of quantum computing, data science and machine learning to potentially address the power system TSA chall...
Fundamental thresholds of realistic quantum error correction circuits from classical spin models
D. Vodola, M. Rispler, Seyong Kim +1 more·Apr 10, 2021
Mapping the decoding of quantum error correcting (QEC) codes to classical disordered statistical mechanics models allows one to determine critical error thresholds of QEC codes under phenomenological noise models. Here, we extend this mapping to admi...
Quantum-enhanced bosonic learning machine
C. Nguyen, K. Tseng, G. Maslennikov +2 more·Apr 9, 2021
Quantum processors enable computational speedups for machine learning through parallel manipulation of high-dimensional vectors. Early demonstrations of quantum machine learning have focused on processing information with qubits. In such systems, a l...
Estimation of correlations and nonseparability in quantum channels via unitarity benchmarking
Matthew Girling, Cristina Cîrstoiu, D. Jennings·Apr 9, 2021
The ability to transfer quantum information between systems is a fundamental component of quantum technologies and leads to correlations within the global quantum process. However correlation structures in quantum channels are less studied than those...
Rate compatible reconciliation for continuous-variable quantum key distribution using Raptor-like LDPC codes
Chao Zhou, Xiangyu Wang, Zhiguo Zhang +3 more·Apr 8, 2021
In the practical continuous-variable quantum key distribution (CV-QKD) system, the postprocessing process, particularly the error correction part, significantly impacts the system performance. Multi-edge type low-density parity-check (MET-LDPC) codes...
Spin Digitizer for High-Fidelity Readout of a Cavity-Coupled Silicon Triple Quantum Dot
F. Borjans, X. Mi, J. Petta·Apr 8, 2021
An important requirement for spin-based quantum information processing is reliable and fast readout of electron spin states, allowing for feedback and error correction. However, common readout techniques often require additional gate structures hinde...
Robust Interior Point Method for Quantum Key Distribution Rate Computation
Hao Hu, Jiyoung Im, Jie Lin +2 more·Apr 8, 2021
Security proof methods for quantum key distribution, QKD, that are based on the numerical key rate calculation problem, are powerful in principle. However, the practicality of the methods are limited by computational resources and the efficiency and ...
A Quantum Binary Classifier based on Cosine Similarity
D. Pastorello, E. Blanzieri·Apr 7, 2021
This proposal introduces the quantum implementation of a binary classifier based on cosine similarity between data vectors. The proposed quantum algorithm presents time complexity that is logarithmic in the product of the training set cardinality and...
A systematic variational approach to band theory in a quantum computer
Kyle Sherbert, F. Cerasoli, M. Buongiorno Nardelli·Apr 7, 2021
Quantum computers promise to revolutionize our ability to simulate molecules, and cloud-based hardware is becoming increasingly accessible to a wide body of researchers. Algorithms such as Quantum Phase Estimation and the Variational Quantum Eigensol...