Papers
Live trends in quantum computing research, updated daily from arXiv.
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28,402
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Research Volume
13,526 papers in 12 months (-19% vs prior quarter)
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Papers by research theme (12 months). Hover for details.
Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Adaptive Quantum Tomography in a Weak Measurement System with Superconducting Circuits
Hyeok Hwang, Jae-Gwan Choi, Eunseong Kim·May 8, 2023
Adaptive tomography has been widely investigated to achieve faster state tomography processing of quantum systems. Infidelity of the nearly pure states in a quantum information process generally scales as O(1/sqrt(N) ), which requires a large number ...
Efficient information recovery from Pauli noise via classical shadow
Yifei Chen, Zhan Yu, Chenghong Zhu +1 more·May 6, 2023
The rapid advancement of quantum computing has led to an extensive demand for effective techniques to extract classical information from quantum systems, particularly in fields like quantum machine learning and quantum chemistry. However, quantum sys...
Collateral Coupling between Superconducting Resonators: Fast High-Fidelity Generation of Qudit-Qudit Entanglement
Pedro Rosario, Alan C. Santos, C. Villas-Bôas +1 more·May 5, 2023
Superconducting circuits are highly controllable platforms to manipulate quantum states, which make them particularly promising for quantum information processing. We here show how the existence of a distance-independent interaction between microwave...
Qumode transfer between continuous- and discrete-variable devices
A. Macridin, A. Li, P. Spentzouris·May 4, 2023
Transferring quantum information between different types of quantum hardware is crucial for integrated quantum technology. In particular, converting information between continuous-variable (CV) and discrete-variable (DV) devices enables many applicat...
A Primer on Security of Quantum Computing Hardware
Swaroop Ghosh, S. Upadhyay, Abdullah Ash- Saki·May 4, 2023
Quantum computing (QC) is an emerging paradigm with the potential to transform numerous application domains by addressing classically intractable problems. However, its growing presence in cyberspace has introduced new security and privacy challenges...
Fast, tunable, high fidelity cZ-gates between superconducting qubits with parametric microwave control of ZZ-coupling
X. Jin, K. Cicak, Z. Parrott +6 more·May 4, 2023
Future quantum information processors require tunable coupling architectures that can produce high fidelity logical gates between two or more qubits. Parametric coupling is a powerful technique for generating tunable interactions between many qubits....
Calibration of syndrome measurements in a single experiment
C. Wimmer, Jochen Szangolies, M. Epping·May 4, 2023
Quantum error correction can reduce the effects of noise in quantum systems, e.g. in metrology or most notably in quantum computing. Typically, this requires making measurements that provide information about the errors that have occurred in the syst...
Approximate quantum error correction, covariance symmetry, and their relation
Hao Dai·May 3, 2023
To perform reliable quantum computation, quantum error correction is indispensable. In certain cases, continuous covariance symmetry of the physical system can make exact error correction impossible. In this work we study the approximate error correc...
Low-Noise Quantum Frequency Conversion of Photons from a Trapped Barium Ion to the Telecom O-band
Uday Saha, J. Siverns, J. Hannegan +2 more·May 2, 2023
Trapped ions are one of the leading candidates for scalable and long-distance quantum networks because of their long qubit coherence time, high fidelity single- and two-qubit gates, and their ability to generate photons entangled with the qubit state...
Energy-dependent barren plateau in bosonic variational quantum circuits
Bingzhi Zhang, Quntao Zhuang·May 2, 2023
Bosonic variational quantum circuits (VQCs) are crucial for information processing in microwave cavities, trapped ions, and optical systems, widely applicable in quantum communication, sensing and error correction. The trainability of such VQCs is le...
Statistical learning on randomized data to verify quantum state approximate k-designs
Kaustav Mukherjee, Sarah Chehade, Lorenzo Versini +3 more·May 2, 2023
Random ensembles of pure states have proven to be extremely important in various aspects of quantum physics such as benchmarking the performance of quantum circuits, testing for quantum advantage, providing novel insights for many-body thermalization...
Super-compact universal quantum logic gates with inverse-designed elements
Lu He, Dongning Liu, Jingxing Gao +8 more·May 1, 2023
Integrated quantum photonic circuit is a promising platform for the realization of quantum information processing in the future. To achieve the large-scale quantum photonic circuits, the applied quantum logic gates should be as small as possible for ...
A New Quantum Dempster Rule of Combination
Huaping He, Fuyuan Xiao·Apr 28, 2023
Dempster rule of combination (DRC) is widely used for uncertainty reasoning in intelligent information system, which is generalized to complex domain recently. However, as the increase of identification framework elements, the computational complexit...
Optimizing Variational Quantum Algorithms with qBang: Efficiently Interweaving Metric and Momentum to Navigate Flat Energy Landscapes
David Fitzek, Robert S. Jonsson, Werner Dobrautz +1 more·Apr 27, 2023
Variational quantum algorithms (VQAs) represent a promising approach to utilizing current quantum computing infrastructures. VQAs are based on a parameterized quantum circuit optimized in a closed loop via a classical algorithm. This hybrid approach ...
Classical chaos in quantum computers
Simon-Dominik Börner, C. Berke, D. DiVincenzo +2 more·Apr 27, 2023
The development of quantum computing hardware is facing the challenge that current-day quantum processors, comprising 50–100 qubits, already operate outside the range of quantum simulation on classical computers. In this paper we demonstrate that the...
Quantum Natural Policy Gradients: Towards Sample-Efficient Reinforcement Learning
Nico Meyer, D. D. Scherer, A. Plinge +2 more·Apr 26, 2023
Reinforcement learning is a growing field in AI with a lot of potential. Intelligent behavior is learned automatically through trial and error in interaction with the environment. However, this learning process is often costly. Using variational quan...
Strong Dispersive Coupling Between a Mechanical Resonator and a Fluxonium Superconducting Qubit
Nathan R. A. Lee, Yudan Guo, A. Cleland +10 more·Apr 26, 2023
We demonstrate strong dispersive coupling between a fluxonium superconducting qubit and a 690 megahertz mechanical oscillator, extending the reach of circuit quantum acousto-dynamics (cQAD) experiments into a new range of frequencies. We have enginee...
Quantum Gaussian process regression for Bayesian optimization
Frederic Rapp, Marco Roth·Apr 25, 2023
Gaussian process regression is a well-established Bayesian machine learning method. We propose a new approach to Gaussian process regression using quantum kernels based on parameterized quantum circuits. By employing a hardware-efficient feature map ...
Quantum correlated photons via a passive nonlinear microcavity
Mengdi Zhao, Yunkai Wang, Shanhui Fan +1 more·Apr 23, 2023
Photons, by nature, typically do not exhibit interactions with each other. Creating photon-photon interactions holds immense importance in both fundamental physics and quantum technologies. Currently, such interactions have only been achieved indirec...
Shot Optimization in Quantum Machine Learning Architectures to Accelerate Training
Koustubh Phalak, Swaroop Ghosh·Apr 21, 2023
Quantum Machine Learning (QML) has recently emerged as a rapidly growing domain as an intersection of Quantum Computing (QC) and Machine Learning (ML) fields. Hybrid quantum-classical models have demonstrated exponential speedups in various machine l...