Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Magnetic Field Resilience of Three-Dimensional Transmons with Thin-Film <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"><mml:msub><mml:mtext>Al/AlO</mml:mtext><mml:mi>x</mml:mi></mml:msub><mml:mo>/</mml:mo><mml:mtext>Al</mml:mtext></mml:math> Josephson J
J. Krause, C. Dickel, E. Vaal +6 more·Nov 1, 2021
Magnetic-field-resilient superconducting circuits enable sensing applications and hybrid quantum-computing architectures involving spin or topological qubits and electro-mechanical elements, as well as studying flux noise and quasiparticle loss. We i...
Hybrid Quantum-Classical Algorithms for Loan-Collection Optimization with Loan-Loss Provisions
J. Tangpanitanon, Jirawat Saiphet, Pantita Palittapongarnpim +5 more·Oct 29, 2021
Banks are required to set aside funds in their income statement, known as a loan loss provision (LLP), to account for potential loan defaults and expenses. By treating the LLP as a global constraint, we propose a hybrid quantum-classical algorithm to...
Solving linear systems on quantum hardware with hybrid HHL++
Romina Yalovetzky, Pierre Minssen, Dylan Herman +1 more·Oct 29, 2021
The limited capabilities of current quantum hardware significantly constrain the scale of experimental demonstrations of most quantum algorithmic primitives. This makes it challenging to perform benchmarking of the current hardware using useful quant...
QDCNN: Quantum Dilated Convolutional Neural Network
Yixiong Chen·Oct 29, 2021
In recent years, with rapid progress in the development of quantum technologies, quantum machine learning has attracted a lot of interest. In particular, a family of hybrid quantum-classical neural networks, consisting of classical and quantum elemen...
Quantum-Classical Computational Molecular Design of Deuterated High-Efficiency OLED Emitters
Qi Gao, Gavin O. Jones, M. Sugawara +5 more·Oct 28, 2021
This study describes a hybrid quantum-classical computational approach for designing synthesizable deuterated $Alq_3$ emitters possessing desirable emission quantum efficiencies (QEs). This design process has been performed on the tris(8-hydroxyquino...
Measurement-based time evolution for quantum simulation of fermionic systems
Woojun Lee, Zhangjie Qin, R. Raussendorf +2 more·Oct 27, 2021
Quantum simulation using time evolution in phase estimation-based quantum algorithms can yield unbiased solutions of classically intractable models. However, long runtimes open such algorithms to decoherence. We show how measurement-based quantum sim...
Asymmetric Diamond Emitters for Unidirectional Photon Coupling
Satyajit Murmu, Avijit Kumar, R. Jha·Oct 23, 2021
The demand of single photon coupling to optical systems requires a suitable interface between negatively charged Nitrogen Vacancy (NV-) emitters in diamond to waveguides or optical circuits for applications in quantum network systems and in unidirect...
Measurement-induced criticality in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mi mathvariant="double-struck">Z</mml:mi><mml:mn>2</mml:mn></mml:msub></mml:math> -symmetric quantum automaton circuits
Yi-Fan Han, Xiao Chen·Oct 20, 2021
We study entanglement dynamics in hybrid $\mathbb{Z}_2$-symmetric quantum automaton circuits subject to local composite measurements. We show that there exists an entanglement phase transition from a volume law phase to a critical phase by varying th...
Classical-To-Quantum Transfer Learning for Spoken Command Recognition Based on Quantum Neural Networks
Jun Qi, Javier Tejedor·Oct 17, 2021
This work investigates an extension of transfer learning applied in machine learning algorithms to the emerging hybrid end-to-end quantum neural network (QNN) for spoken command recognition (SCR). Our QNN-based SCR system is composed of classical and...
Quantum computational quantification of protein–ligand interactions
Josh J. M. Kirsopp, C. Di Paola, D. Manrique +7 more·Oct 15, 2021
We have demonstrated a prototypical hybrid classical and quantum computational workflow for the quantification of protein-ligand interactions. The workflow combines the Density Matrix Embedding Theory (DMET) embedding procedure with the Variational Q...
Multi-class quantum classifiers with tensor network circuits for quantum phase recognition
M. Lazzarin, D. Galli, E. Prati·Oct 15, 2021
Hybrid quantum-classical algorithms based on variational circuits are a promising approach to quantum machine learning problems for near-term devices, but the selection of the variational ansatz is an open issue. Recently, tensor network-inspired cir...
Evaluation on Genetic Algorithms as an optimizer of Variational Quantum Eigensolver(VQE) method
Hikaru Wakaura, T. Tomono, Shoya Yasuda·Oct 14, 2021
Variational-Quantum-Eigensolver(VQE) method on a quantum computer is a well-known hybrid algorithm to solve the eigenstates and eigenvalues that uses both quantum and classical computers. This method has the potential to solve quantum chemical simula...
Transferring quantum information between a quantum system with limited control and a quantum computer
Ryosuke Sakai, A. Soeda, M. Murao·Oct 12, 2021
We consider a hybrid quantum system consisting of a qubit system continuously evolving according to its fixed own Hamiltonian and a quantum computer. The qubit system couples to a quantum computer through a fixed interaction Hamiltonian, which can on...
i-QER: An Intelligent Approach Towards Quantum Error Reduction
Saikat Basu, A. Saha, Amlan Chakrabarti +1 more·Oct 12, 2021
Quantum computing has become a promising computing approach because of its capability to solve certain problems, exponentially faster than classical computers. A n-qubit quantum system is capable of providing 2n computational space to a quantum algor...
Dual-Element, Two-Dimensional Atom Array with Continuous-Mode Operation
Kevin Singh, Shraddha Anand, A. Pocklington +2 more·Oct 11, 2021
Quantum processing architectures that include multiple qubit modalities offer compelling strategies for high-fidelity operations and readout, quantum error correction, and a path for scaling to large system sizes. Such hybrid architectures have been ...
Large-bandwidth Transduction Between an Optical Single Quantum Dot Molecule and a Superconducting Resonator
Yuta Tsuchimoto, Zhe Sun, E. Togan +6 more·Oct 7, 2021
Quantum transduction between the microwave and optical domains is an outstanding challenge for long-distance quantum networks based on superconducting qubits. For all transducers realized to date, the generally weak light-matter coupling does not all...
Digital quantum simulation of strong correlation effects with iterative quantum phase estimation over the variational quantum eigensolver algorithm: $\mathrm{H_4}$ on a circle as a case study
D. Halder, V. SrinivasaPrasannaa, Valay Agarawal +1 more·Oct 6, 2021
The iterative quantum phase estimation algorithm, applied to calculating the ground state energies of quantum chemical systems, is theoretically appealing in its wide scope of being able to handle both weakly and strongly correlated regimes. However,...
Feasible Architecture for Quantum Fully Convolutional Networks
Yusui Chen, Wenhao Hu, Xiang Li·Oct 5, 2021
Fully convolutional networks are robust in performing semantic segmentation, with many applications from signal processing to computer vision. From the fundamental principles of variational quantum algorithms, we propose a feasible pure quantum archi...
Towards the simulation of large scale protein–ligand interactions on NISQ-era quantum computers
F. Malone, R. Parrish, Alicia R. Welden +6 more·Oct 4, 2021
We explore the use of symmetry-adapted perturbation theory (SAPT) as a simple and efficient means to compute interaction energies between large molecular systems with a hybrid method combining NISQ-era quantum and classical computers. From the one- a...
Adapting Quantum Approximation Optimization Algorithm (QAOA) for Unit Commitment
S. Koretsky, P. Gokhale, Jonathan M. Baker +8 more·Oct 1, 2021
In the present Noisy Intermediate-Scale Quantum (NISQ), hybrid algorithms that leverage classical resources to reduce quantum costs are particularly appealing. We formulate and apply such a hybrid quantum-classical algorithm to a power system optimiz...