Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Distributed quantum algorithm for Simon's problem
J. Tan, Li Xiao, Daowen Qiu +2 more·Apr 25, 2022
Limited by today’s physical devices, quantum circuits are usually noisy and difficult to be designed deeply. The novel computing architecture of distributed quantum computing is expected to reduce the noise and depth of quantum circuits. In this paper,...
Quantum polar stabilizer codes based on polarization of pure quantum channel don't work for quantum computing
Zhengzhong Yi, Z.-H. Liang, Yulin Wu +1 more·Apr 25, 2022
Inspired by classical polar codes, whose coding rate can asymptotically achieve the Shannon capacity, researchers are trying to find its analogue in quantum information field, which are called quantum polar codes. However, no one has designed a quant...
Scalable Measures of Magic Resource for Quantum Computers
T. Haug, M. Kim·Apr 21, 2022
Non-stabilizerness or magic resource characterizes the amount of non-Clifford operations needed to prepare quantum states. It is a crucial resource for quantum computing and a necessary condition for quantum advantage. However, quantifying magic reso...
Volumetric Benchmarking of Error Mitigation with Qermit
Cristina Cîrstoiu, Silas Dilkes, Daniel Mills +2 more·Apr 20, 2022
The detrimental effect of noise accumulates as quantum computers grow in size. In the case where devices are too small or noisy to perform error correction, error mitigation may be used. Error mitigation does not increase the fidelity of quantum stat...
Quantum Control of Hole Spin Qubits in Double Quantum Dots
D. Fernández-Fernández, Y. Ban, G. Platero·Apr 15, 2022
Hole spin qubits in semiconductor quantum dots (QDs) are promising candidates for quantum information processing due to their weak hyperfine coupling to nuclear spins, and to the strong spin-orbit coupling which allows for rapid operation time. We pr...
Accelerating Noisy VQE Optimization with Gaussian Processes
Juliane Mueller, W. Lavrijsen, Costin Iancu +1 more·Apr 15, 2022
Hybrid variational quantum algorithms, which combine a classical optimizer with evaluations on a quantum chip, are the most promising candidates to show quantum advantage on current noisy, intermediate-scale quantum (NISQ) devices. The classical opti...
NEQRX: Efficient Quantum Image Encryption with Reduced Circuit Complexity
Rakesh Saini, B. K. Behera, S. Al-kuwari +1 more·Apr 14, 2022
Cryptography plays an important role in ensuring data security and authentication within information processing systems. As the prevalence of digital imagery continues to grow, safeguarding this form of data becomes increasingly crucial. However, exi...
Characterizing Error Mitigation by Symmetry Verification in QAOA
Ashish Kakkar, Jeffrey Larson, A. Galda +1 more·Apr 12, 2022
Hardware errors are a major obstacle to demonstrating quantum advantage with the quantum approximate optimization algorithm (QAOA). Recently, symmetry verification has been proposed and empirically demonstrated to boost the quantum state fidelity, th...
Programmable Hamiltonian engineering with quadratic quantum Fourier transform
Pei Wang, Zhi-Hao Huang, Xingze Qiu +1 more·Apr 9, 2022
Quantum Fourier transform (QFT) is a widely used building block for quantum algorithms, whose scalable implementation is challenging in experiments. Here, we propose a protocol of quadratic quantum Fourier transform (QQFT), considering cold atoms con...
Gravitational-wave matched filtering on a quantum computer
D. Veske, Cenk Tüysüz, Mirko Amico +6 more·Apr 8, 2022
State-of-the-art quantum computers have very limited applicability for accurate calculations. Here, we report the first experimental demonstration of qubit-based matched filtering for a detection of the gravitational-wave signal from a binary black h...
Quantum variational learning for quantum error-correcting codes
Chenfeng Cao, Chao-Ni Zhang, Zipeng Wu +2 more·Apr 7, 2022
Quantum error correction is believed to be a necessity for large-scale fault-tolerant quantum computation. In the past two decades, various constructions of quantum error-correcting codes (QECCs) have been developed, leading to many good code familie...
Limitations of Variational Quantum Algorithms: A Quantum Optimal Transport Approach
G. Palma, M. Marvian, Cambyse Rouz'e +1 more·Apr 7, 2022
The impressive progress in quantum hardware in the last years has raised the interest of the quantum computing community in harvesting the computational power of such devices. However, in the absence of error correction, these devices can only reliab...
Variational dynamics as a ground-state problem on a quantum computer
Stefano Barison, Filippo Vicentini, I. Cirac +1 more·Apr 7, 2022
We propose a variational quantum algorithm to study the real time dynamics of quantum systems as a ground-state problem. The method is based on the original proposal of Feynman and Kitaev to encode time into a register of auxiliary qubits. We prepare...
Approximate quantum gates compilation for superconducting transmon qubits with self-navigation algorithm
Runhong He, Feng-Hua Ren, Yang-Yang Xie +2 more·Apr 6, 2022
Precise and fast qubit control is crucial when compiling quantum gates for successful implementation of quantum algorithms. However, the presence of environmental noise and the nonzero bandwidth of control pulses pose challenges for the effective con...
Superconducting Nanowire Single-Photon Detectors and effect of accumulation and unsteady releases of excess energy in materials
S. Pereverzev, G. Carosi, Viacheslav Li·Apr 5, 2022
Universal fault-tolerant quantum computers, which promise to revolutionize computing, are currently limited by excessive noise in their constituent superconducting qubits. Determining the dominant sources of this excess noise will lead to a clearer u...
Quantum-noise-limited microwave amplification using a graphene Josephson junction
Joydip Sarkar, K. Salunkhe, S. Mandal +7 more·Apr 5, 2022
Josephson junctions (JJs) and their tunable properties, including their nonlinearities, play an important role in superconducting qubits and amplifiers. JJs together with the circuit quantum electrodynamics architecture form many key components of qu...
Experimental quantum adversarial learning with programmable superconducting qubits
W. Ren, Weikang Li, Shibo Xu +21 more·Apr 4, 2022
Quantum computing promises to enhance machine learning and artificial intelligence. However, recent theoretical works show that, similar to traditional classifiers based on deep classical neural networks, quantum classifiers would suffer from adversa...
Effects of Dynamical Decoupling and Pulse-Level Optimizations on IBM Quantum Computers
Siyuan Niu, A. Todri-Sanial·Apr 4, 2022
Currently available quantum computers are prone to errors. Circuit optimization and error mitigation methods are needed to design quantum circuits to achieve better fidelity when executed on NISQ hardware. Dynamical decoupling (DD) is generally used ...
Measuring magic on a quantum processor
Salvatore F. E. Oliviero, L. Leone, A. Hamma +1 more·Mar 31, 2022
Magic states are the resource that allows quantum computers to attain an advantage over classical computers. This resource consists in the deviation from a property called stabilizerness which in turn implies that stabilizer circuits can be efficient...
Quantum open system identification via global optimization: Optimally accurate Markovian models of open systems from time-series data
D. Bondar, Zakhar Popovych, K. Jacobs +2 more·Mar 31, 2022
Accurate models of the dynamics of quantum circuits are essential for optimizing and advancing quantum devices. Since first-principles models of environmental noise and dissipation in real quantum systems are often unavailable, deriving accurate mode...