Papers
Live trends in quantum computing research, updated daily from arXiv.
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31,714
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Research Volume
15,749 papers in 12 months (-37% vs prior quarter)
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Enhancing Quantum Control by Improving Shaped-Pulse Generation
J. P. S. Peterson, R. Sarthour, R. Laflamme·Aug 21, 2019
Most quantum processors requires pulse sequences for controlling quantum states. Here, we present an alternative algorithm for computing an optimal pulse sequence in order to perform a specific task, being an implementation of a quantum gate or a qua...
A Full Quantum Eigensolver for Quantum Chemistry Simulations
Shijie Wei, Hang Li, Guilu Long·Aug 21, 2019
Quantum simulation of quantum chemistry is one of the most compelling applications of quantum computing. It is of particular importance in areas ranging from materials science, biochemistry, and condensed matter physics. Here, we propose a full quant...
Quantum-Kit: Simulating Shor's Factorization of 24-Bit Number on Desktop
A. Tankasala, H. Ilatikhameneh·Aug 20, 2019
Quantum-Kit is a graphical desktop application for quantum circuit simulations. Its powerful, memory-efficient computational engine enables large-scale simulations on a desktop. The ability to design hybrid circuits, with both quantum and classical b...
Minimal degenerate CSS quantum code with low cost circuit
Ritajit Majumdar, S. Sur-Kolay·Aug 20, 2019
Error correction is of utmost necessity for large-scale quantum computing. Quantum error correcting codes can be degenerate, if more than one type of error can map the input state to the same error state. In this paper, we propose a 6-qubit degenerat...
Leveraging quantum annealing for large MIMO processing in centralized radio access networks
Minsung Kim, D. Venturelli, K. Jamieson·Aug 19, 2019
User demand for increasing amounts of wireless capacity continues to outpace supply, and so to meet this demand, significant progress has been made in new MIMO wireless physical layer techniques. Higher-performance systems now remain impractical larg...
Quantum algorithms for Second-Order Cone Programming and Support Vector Machines
Iordanis Kerenidis, A. Prakash, Dániel Szilágyi·Aug 19, 2019
We present a quantum interior-point method (IPM) for second-order cone programming (SOCP) that runs in time O~(nrζκδ2log(1/ϵ)) where r is the rank and n the dimension of the SOCP, δ bounds the distance of intermediate solutions from the cone boundar...
Deeply inelastic scattering structure functions on a hybrid quantum computer
N. Mueller, A. Tarasov, R. Venugopalan·Aug 19, 2019
We outline a strategy to compute deeply inelastic scattering structure functions using a hybrid quantum computer. Our approach takes advantage of the representation of the fermion determinant in the QCD path integral as a quantum mechanical path inte...
Implications of Quantum Computing for Artificial Intelligence alignment research
Jaime Sevilla, Pablo Moreno·Aug 19, 2019
We explain some key features of quantum computing via three heuristics and apply them to argue that a deep understanding of quantum computing is unlikely to be helpful to address current bottlenecks in Artificial Intelligence Alignment. Our argument ...
Efficient quantum measurement of Pauli operators
O. Crawford, B. V. Straaten, Daochen Wang +3 more·Aug 19, 2019
Estimating the expectation value of an observable is a fundamental task in quantum computation. Unfortunately, it is often impossible to obtain such estimates directly, as the computer is restricted to measuring in a fixed computational basis. One co...
Quantum Expectation-Maximization Algorithm
Hideyuki Miyahara, K. Aihara, W. Lechner·Aug 19, 2019
Clustering algorithms are a cornerstone of machine learning applications. Recently, a quantum algorithm for clustering based on the $k$-means algorithm has been proposed by Kerenidis, Landman, Luongo, and Prakash. Based on their work, we propose a qu...
Quantum solvability of noisy linear problems by divide-and-conquer strategy
Wooyeong Song, Youngrong Lim, Kabgyun Jeong +5 more·Aug 17, 2019
Noisy linear problems have been studied in various science and engineering disciplines. A class of ‘hard’ noisy linear problems can be formulated as follows: Given a matrix A^ and a vector b constructed using a finite set of samples, a hidden vector ...
A reinforcement learning approach for quantum state engineering
Jelena Mackeprang, D. Dasari, J. Wrachtrup·Aug 16, 2019
Machine learning (ML) has become an attractive tool for solving various problems in different fields of physics, including the quantum domain. Here, we show how classical reinforcement learning (RL) could be used as a tool for quantum state engineeri...
Nearly Optimal Measurement Scheduling for Partial Tomography of Quantum States
Xavier Bonet-Monroig, R. Babbush, T. O’Brien·Aug 15, 2019
Many applications of quantum simulation require to prepare and then characterize quantum states by performing an efficient partial tomography to estimate observables corresponding to $k$-body reduced density matrices ($k$-RDMs). For instance, variati...
Quantum algorithm for estimating α -Renyi entropies of quantum states
Sathyawageeswar Subramanian, Min-Hsiu Hsieh·Aug 14, 2019
We describe a quantum algorithm to estimate the alpha-Renyi entropy of an unknown d-dimensional density matrix, for alpha not equal to 1, by combining the recent technique of quantum singular value transformations with the method of estimating normal...
Quantum adiabatic machine learning with zooming
Alexander Zlokapa, A. Mott, Joshua Job +3 more·Aug 13, 2019
Recent work has shown that quantum annealing for machine learning (QAML) can perform comparably to state-of-the-art machine learning methods with a specific application to Higgs boson classification. We propose a variant algorithm (QAML-Z) that itera...
On Steane-enlargement of quantum codes from Cartesian product point sets
R. B. Christensen, Olav Geil·Aug 13, 2019
In this work, we study quantum error-correcting codes obtained by using Steane-enlargement. We apply this technique to certain codes defined from Cartesian products previously considered by Galindo et al. (IEEE Trans Inf Theory 64(4):2444–2459, 2018....
Charged particle tracking with quantum annealing optimization
Alexander Zlokapa, A. Anand, J. Vlimant +4 more·Aug 13, 2019
At the High Luminosity Large Hadron Collider (HL-LHC), traditional track reconstruction techniques that are critical for physics analysis will need to be upgraded to scale with track density. Quantum annealing has shown promise in its ability to solv...
Continuous-Variable Quantum Key Distribution with Rateless Reconciliation Protocol
Chao Zhou, Xiangyu Wang, Yichen Zhang +3 more·Aug 13, 2019
Information reconciliation is crucial for continuous-variable quantum key distribution (CV-QKD) because its performance affects the secret key rate and maximal secure transmission distance. Fixed-rate error correction codes limit the potential applic...
Entanglement bounds on the performance of quantum computing architectures
Zachary Eldredge, Leo Zhou, A. Bapat +4 more·Aug 13, 2019
There are many possible architectures of qubit connectivity that designers of future quantum computers will need to choose between. However, the process of evaluating a particular connectivity graph’s performance as a quantum architecture can be diff...
Noise resilience of variational quantum compiling
Kunal Sharma, Sumeet Khatri, M. Cerezo +1 more·Aug 12, 2019
Variational hybrid quantum-classical algorithms (VHQCAs) are near-term algorithms that leverage classical optimization to minimize a cost function, which is efficiently evaluated on a quantum computer. Recently VHQCAs have been proposed for quantum c...