Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Quantum Bayesian computation
Nick Polson, Vadim O. Sokolov, Jianeng Xu·Aug 17, 2022
Quantum Bayesian computation is an emerging field that levers the computational gains available from quantum computers. They promise to provide an exponential speed‐up in Bayesian computation. Our article adds to the literature in three ways. First, ...
Heart Disease Detection using Quantum Computing and Partitioned Random Forest Methods
Hanif Heidari, Gerhard Hellstern, Murugappan Murugappan·Aug 17, 2022
Heart disease morbidity and mortality rates are increasing, which has a negative impact on public health and the global economy. Early detection of heart disease reduces the incidence of heart mortality and morbidity. Recent research has utilized qua...
Adaptive POVM implementations and measurement error mitigation strategies for near-term quantum devices
A. Glos, A. Nykanen, Elsi-Mari Borrelli +4 more·Aug 16, 2022
We present adaptive measurement techniques tailored for variational quantum algorithms on near-term small and noisy devices. In particular, we generalise earlier learning to measure strategies in two ways. First, by considering a class of adaptive po...
Rapid Discovery of Graphene Nanocrystals Using DFT and Bayesian Optimization with Neural Network Kernel
cSener Ozonder, H. K. Kuccukkartal·Aug 16, 2022
Density functional theory (DFT) is a powerful computational method used to obtain physical and chemical properties of materials. In the materials discovery framework, it is often necessary to virtually screen a large and high-dimensional chemical spa...
Mixed Quantum–Classical Method for Fraud Detection With Quantum Feature Selection
M. Grossi, Noelle Ibrahim, V. Radescu +4 more·Aug 16, 2022
This article presents a first end-to-end application of a quantum support vector machine (QSVM) algorithm for a classification problem in the financial payment industry using the IBM Safer Payments and IBM Quantum Computers via the Qiskit software st...
Fidelity of the Kitaev honeycomb model under a quench
Wesley Roberts, M. Vogl, G. Fiete·Aug 16, 2022
Motivated by rapid developments in the field of quantum computing and the increasingly diverse nature of qubits, we theoretically study the influence that quenched outside disturbances have in an intermediately long time limit. We consider localized ...
Towards the simulation of transition-metal oxides of the cathode battery materials using VQE methods
M. Farag, J. Ghosh·Aug 16, 2022
Variational quantum eigensolver (VQE) is a hybrid quantum-classical technique that leverages noisy intermediate scale quantum (NISQ) hardware to obtain the minimum eigenvalue of a model Hamiltonian. VQE has so far been used to simulate condensed matt...
Partial Equivalence Checking of Quantum Circuits
Tian-Fu Chen, J. H. Jiang, Min-Hsiu Hsieh·Aug 16, 2022
Equivalence checking of quantum circuits is an essential element in quantum program compilation, in which a quantum program can be synthesized into different quantum circuits that may vary in the number of qubits, initialization requirements, and out...
Optimal algorithms for learning quantum phase states
Srinivasan Arunachalam, S. Bravyi, Arko Dutt +1 more·Aug 16, 2022
We analyze the complexity of learning $n$-qubit quantum phase states. A degree-$d$ phase state is defined as a superposition of all $2^n$ basis vectors $x$ with amplitudes proportional to $(-1)^{f(x)}$, where $f$ is a degree-$d$ Boolean polynomial ov...
Mean estimation when you have the source code; or, quantum Monte Carlo methods
Robin Kothari, R. O'Donnell·Aug 16, 2022
Suppose $\boldsymbol{y}$ is a real random variable, and one is given access to ``the code'' that generates it (for example, a randomized or quantum circuit whose output is $\boldsymbol{y}$). We give a quantum procedure that runs the code $O(n)$ times...
Evaluate Quantum Combinatorial Optimization for Distribution Network Reconfiguration
P. Ngo, Christan Thomas, Hieu Nguyen +2 more·Aug 16, 2022
This paper aims to implement and evaluate the performance of quantum computing on solving combinatorial optimization problems arising from the operations of the power grid. To this end, we construct a novel mixed integer conic programming formulation...
Efficient Parameterised Compilation for Hybrid Quantum Programming
Anna M. Krol, Koen J. Mesman, A. Sarkar +1 more·Aug 16, 2022
Near term quantum devices have the potential to outperform classical computing through the use of hybrid classical-quantum algorithms such as Variational Quantum Eigensolvers. These iterative algorithms use a classical optimiser to update a parameter...
A finite element configuration interaction method for Wigner localization
Xue Quan, Huajie Chen·Aug 16, 2022
The Wigner localization is an electron phase at low densities when the electrons are sharply localized around equilibrium positions. The simulation of the Wigner localization phenomenon requires careful treatment of the many-body correlations, as the...
Tunable Planar Josephson Junctions Driven by Time-Dependent Spin-Orbit Coupling
D. Monroe, M. Alidoust, I. Žutić·Aug 16, 2022
Integrating conventional superconductors with common III-V semiconductors provides a versatile platform to implement tunable Josephson junctions (JJs) and their applications. We propose that with gate-controlled time-dependent spin-orbit coupling, it...
Exploring the scaling limitations of the variational quantum eigensolver with the bond dissociation of hydride diatomic molecules
Jacob M. Clary, E. Jones, Derek Vigil-Fowler +2 more·Aug 15, 2022
Materials simulations involving strongly correlated electrons pose fundamental challenges to state-of-the-art electronic structure methods but are hypothesized to be the ideal use case for quantum computing. To date, no quantum computer has simulated...
Quantum Bandit With Amplitude Amplification Exploration in an Adversarial Environment
Byungjin Cho, Yu Xiao, Pan Hui +1 more·Aug 15, 2022
The rapid proliferation of learning systems in an arbitrarily changing environment mandates the need to manage tensions between exploration and exploitation. This work proposes a quantum-inspired bandit learning approach for the learning-and-adapting...
Fabrication of airbridges with gradient exposure
Yuting Sun, Jiayu Ding, Xiaoyu Xia +6 more·Aug 15, 2022
In superconducting quantum circuits, airbridges are critical for eliminating parasitic slotline modes of coplanar waveguide circuits and reducing crosstalks between direct current magnetic flux biases. Here, we present a technique for fabricating sup...
Modeling and simulation of a quantum thermal noise on the qubit
F. Chapeau-Blondeau·Aug 15, 2022
Quantum noise or decoherence is a major factor impacting the performance of quantum technologies. On the qubit, an important quantum noise, often relevant in practice, is the thermal noise or generalized amplitude damping noise, describing the intera...
On quantum factoring using noisy intermediate scale quantum computers
Vivian Phan, A. Ponni, M. Raasakka +1 more·Aug 15, 2022
We study the performance and resource usage of the variational quantum factoring (VQF) algorithm for different instance sizes and optimization algorithms. Our simulations show better chance of finding the ground state when using VQE rather than QAOA ...
Quantum Support Vector Machines for Aerodynamic Classification
Xinjian Yuan, Ziyang Chen, Yudan Liu +5 more·Aug 15, 2022
Aerodynamics plays an important role in aviation industry and aircraft design. Detecting and minimizing the phenomenon of flow separation from scattered pressure data on airfoil is critical for ensuring stable and efficient aviation. However, since i...