Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Localization Detection Based on Quantum Dynamics
K. Kudo·Jun 18, 2022
Detecting many-body localization (MBL) typically requires the calculation of high-energy eigenstates using numerical approaches. This study investigates methods that assume the use of a quantum device to detect disorder-induced localization. Numerica...
Two-qubit gate in neutral atoms using transitionless quantum driving
Archismita Dalal, B. Sanders·Jun 17, 2022
A neutral-atom system serves as a promising platform for realizing gate-based quantum computing because of its capability to trap and control several atomic qubits in different geometries and the ability to perform strong, long-range interactions betw...
Spectral analysis for noise diagnostics and filter-based digital error mitigation
Enrico Fontana, I. Rungger, Ross Duncan +1 more·Jun 17, 2022
We investigate the effects of noise on parameterised quantum circuits using spectral analysis and classical signal processing tools. For different noise models, we quantify the additional, higher frequency modes in the output signal caused by device ...
Open source variational quantum eigensolver extension of the quantum learning machine for quantum chemistry
Mohammad Haidar, M. Rančić, T. Ayral +2 more·Jun 17, 2022
Quantum chemistry (QC) is one of the most promising applications of quantum computing. However, present quantum processing units (QPUs) are still subject to large errors. Therefore, noisy intermediate‐scale quantum (NISQ) hardware is limited in terms...
Mapping renormalized coupled cluster methods to quantum computers through a compact unitary representation of nonunitary operators
Bo Peng, K. Kowalski·Jun 17, 2022
Non-unitary theories are commonly seen in the classical simulations of quantum systems. Among these theories, the method of moments of coupled-cluster equations (MMCCs) and the ensuing classes of the renormalized coupled-cluster (CC) approaches have ...
Efficient Deterministic Preparation of Quantum States Using Decision Diagrams
Fereshte Mozafari, G. Micheli, Yuxiang Yang·Jun 17, 2022
Loading classical data into quantum registers is one of the most important primitives of quantum computing. While the complexity of preparing a generic quantum state is exponential in the number of qubits, in many practical tasks the state to prepare...
An Optimal Product-State Approximation for 2-Local Quantum Hamiltonians with Positive Terms
Ojas Parekh, Kevin Thompson·Jun 16, 2022
We resolve the approximability of the maximum energy of the Quantum Max Cut (QMC) problem using product states. A classical 0.498-approximation, using a basic semidefinite programming relaxation, is known for QMC, paralleling the celebrated 0.878-app...
Comparative analysis of error mitigation techniques for variational quantum eigensolver implementations on IBM quantum system
Shaobo Zhang, C. Hill, M. Usman·Jun 16, 2022
Quantum computers are anticipated to transcend classical supercomputers for computationally intensive tasks by exploiting the principles of quantum mechanics. However, the capabilities of the current generation of quantum devices are limited due to n...
Exploring quantum properties of bipartite mixed states under coherent and incoherent basis
Sovik Roy, A. Bhattacharjee, C. Radhakrishnan +2 more·Jun 16, 2022
Quantum coherence and quantum entanglement are two different manifestations of the superposition principle. In this article we show that the right choice of basis to be used to estimate coherence is the separable basis. The quantum coherence estimate...
Performance analysis of coreset selection for quantum implementation of K-Means clustering algorithm
Fanzhe Qu, S. Erfani, M. Usman·Jun 16, 2022
Quantum computing is anticipated to offer immense computational capabilities which could provide efficient solutions to many data science problems. However, the current generation of quantum devices are small and noisy, which makes it difficult to pr...
Adaptive Algorithm for Quantum Amplitude Estimation
Yun-Bin Zhao, Haiyan Wang, Kuai Xu +3 more·Jun 16, 2022
Quantum amplitude estimation is a key sub-routine of a number of quantum algorithms with various applications. We propose an adaptive algorithm for interval estimation of amplitudes. The quantum part of the algorithm is based only on Grover’s algorit...
Quantum anomaly detection for collider physics
Sulaiman Alvi, C. Bauer, B. Nachman·Jun 16, 2022
We explore the use of Quantum Machine Learning (QML) for anomaly detection at the Large Hadron Collider (LHC). In particular, we explore a semi-supervised approach in the four-lepton final state where simulations are reliable enough for a direct back...
Linear cross-entropy benchmarking with Clifford circuits
Jianxin Chen, D. Ding, Cupjin Huang +1 more·Jun 16, 2022
With the advent of quantum processors exceeding $100$ qubits and the high engineering complexities involved, there is a need for holistically benchmarking the processor to have quality assurance. Linear cross-entropy benchmarking (XEB) has been used ...
Magnetic imaging of superconducting qubit devices with scanning SQUID-on-tip
E. Marchiori, L. Ceccarelli, N. Rossi +6 more·Jun 16, 2022
We use a scanning superconducting quantum interference device (SQUID) to image the magnetic flux produced by a superconducting device designed for quantum computing. The nanometer-scale SQUID-on-tip probe reveals the flow of superconducting current t...
Concentration of Data Encoding in Parameterized Quantum Circuits
Guangxi Li, Ruilin Ye, Xuanqiang Zhao +1 more·Jun 16, 2022
Variational quantum algorithms have been acknowledged as a leading strategy to realize near-term quantum advantages in meaningful tasks, including machine learning and combinatorial optimization. When applied to tasks involving classical data, such a...
Quantum Circuit Optimization and Transpilation via Parameterized Circuit Instantiation
Ed Younis, Costin Iancu·Jun 16, 2022
Parameterized circuit instantiation is a common technique encountered in the generation of circuits for a large class of hybrid quantum-classical algorithms. Despite being supported by popular quantum compilation infrastructures such as IBM Qiskit an...
Controlling gain with loss: Bounds on localizable entanglement in multi-qubit systems
Jithin G. Krishnan, Harikrishnan K. J., Amit Kumar Pal·Jun 15, 2022
We investigate the relation between the amount of entanglement localized on a chosen subsystem of a multi-qubit system via local measurements on the rest of the system, and the bipartite entanglement that is lost during this measurement process. We s...
Steered quantum annealing: improving time efficiency with partial information
Ana de Luis, A. García-Sáez, M. Estarellas·Jun 15, 2022
In the computational model of quantum annealing, the size of the minimum gap between the ground state and the first excited state of the system is of particular importance, since it is inversely proportional to the running time of the algorithm. Thus,...
Continuous-variable quantum approximate optimization on a programmable photonic quantum processor
Y. Enomoto, K. Anai, K. Udagawa +1 more·Jun 15, 2022
Variational quantum algorithms (VQAs) provide a promising approach to achieving quantum advantage for practical problems on near-term noisy intermediate-scale quantum (NISQ) devices. Thus far, most studies on VQAs have focused on qubit-based systems,...
Quantum computing for transport optimization
C. Bentley, S. Marsh, A. Carvalho +2 more·Jun 15, 2022
We explore the near-term intersection of quantum computing with the transport sector. To support near-term integration, we introduce a framework for assessing the suitability of transport optimization problems for obtaining potential performance enha...