Papers
Live trends in quantum computing research, updated daily from arXiv.
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27,694
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13,007 papers in 12 months (-3% 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
Simultaneous discovery of quantum error correction codes and encoders with a noise-aware reinforcement learning agent
J. Olle, Remmy Zen, Matteo Puviani +1 more·Nov 8, 2023
In the ongoing race towards experimental implementations of quantum error correction (QEC), finding ways to automatically discover codes and encoding strategies tailored to the qubit hardware platform is emerging as a critical problem. Reinforcement ...
Deep learning as a tool for quantum error reduction in quantum image processing
Krzysztof Werner, Kamil Wereszczy'nski, Rafał Potempa +1 more·Nov 8, 2023
Despite the limited availability and quantum volume of quantum computers, quantum image representation is a widely researched area. Currently developed methods use quantum entanglement to encode information about pixel positions. These methods range ...
Training iterated protocols for distillation of GHZ states with variational quantum algorithms
Áron Rozgonyi, Gábor Széchenyi, O. Kálmán +1 more·Nov 8, 2023
We present optimized distillation schemes for preparing Greenberger-Horne-Zeilinger (GHZ) states. Our approach relies on training variational quantum circuits with white noise affected GHZ states as inputs. Optimizing for a single iteration of the sc...
Learning Quantum Phase Estimation by Variational Quantum Circuits
Chen-Yu Liu, Kuan-Cheng Chen, Chu-Hsuan Abraham Lin·Nov 8, 2023
Quantum Phase Estimation (QPE) stands as a pivotal quantum computing subroutine that necessitates an inverse Quantum Fourier Transform (QFT). However, it is imperative to recognize that enhancing the precision of the estimation inevitably results in ...
Cryogenic Resonant Amplifier for Electron-on-Helium Image Charge Readout
Mikhail Belianchikov, Jakob A. Kraus, Denis Konstantinov·Nov 8, 2023
An electron-on-helium qubit is a promising physical platform for quantum information technologies. Among all the “blueprints” for the qubit realization, a hybrid Rydberg-spin qubit seems to be a promising one toward quantum computing using electron s...
Multimodal deep representation learning for quantum cross-platform verification
Yan Qian, Yuxuan Du, Zhenliang He +2 more·Nov 7, 2023
Cross-platform verification, a critical undertaking in the realm of early-stage quantum computing, endeavors to characterize the similarity of two imperfect quantum devices executing identical algorithms, utilizing minimal measurements. While the ran...
Experimental demonstration of Continuous-Variable Quantum Key Distribution with a silicon photonics integrated receiver
Yoann Pi'etri, Luis Trigo Vidarte, Matteo Schiavon +4 more·Nov 7, 2023
Quantum Key Distribution (QKD) is a prominent application in the field of quantum cryptography providing information-theoretic security for secret key exchange. The implementation of QKD systems on photonic integrated circuits (PICs) can reduce the s...
Reinforcement learning pulses for transmon qubit entangling gates
Ho Nam Nguyen, F. Motzoi, Mekena Metcalf +5 more·Nov 7, 2023
The utility of a quantum computer is highly dependent on the ability to reliably perform accurate quantum logic operations. For finding optimal control solutions, it is of particular interest to explore model-free approaches, since their quality is n...
A low phase noise cavity transmission self-injection locked laser system for atomic physics experiments
L. Krinner, Kai Dietze, L. Pelzer +2 more·Nov 6, 2023
Lasers with high spectral purity are indispensable for optical clocks and coherent manipulation of atomic and molecular qubits for applications such as quantum computing and quantum simulation. Stabilisation of the laser to a reference can provide a ...
Ground-state-energy calculation for the water molecule on a superconducting quantum processor
Michael A. Jones, H. J. Vallury, L. Hollenberg·Nov 5, 2023
The accurate computation of properties of large molecular systems is classically infeasible and is one of the applications in which it is hoped that quantum computers will demonstrate an advantage over classical devices. However, due to the limitatio...
Single-Electron Qubits Based on Quantum Ring States on Solid Neon Surface.
T. Kanai, Dafei Jin, Wei Guo·Nov 4, 2023
Single electrons trapped on solid-neon surfaces have recently emerged as a promising platform for charge qubits. Experimental results have revealed their exceptionally long coherence times, yet the actual quantum states of these trapped electrons, pr...
Noise-agnostic quantum error mitigation with data augmented neural models
Manwen Liao, Yan Zhu, G. Chiribella +1 more·Nov 3, 2023
Quantum error mitigation, a data processing technique for recovering the statistics of target processes from their noisy version, is a crucial task for near-term quantum technologies. Most existing methods require prior knowledge of the noise model o...
Analog information decoding of bosonic quantum LDPC codes
Lucas Berent, Timo Hillmann, Jens Eisert +2 more·Nov 2, 2023
Quantum error correction is crucial for scalable quantum information-processing applications. Traditional discrete-variable quantum codes that use multiple two-level systems to encode logical information can be hardware intensive. An alternative appr...
Distributed Simulation of Statevectors and Density Matrices
Tyson Jones, Bálint Koczor, S. Benjamin·Nov 2, 2023
Classical simulation of quantum computers is an irreplaceable step in the design of quantum algorithms. Exponential simulation costs demand the use of high-performance computing techniques, and in particular distribution, whereby the quantum state de...
Echo-evolution data generation for quantum error mitigation via neural networks
Danila Babukhin·Nov 1, 2023
Neural networks provide a prospective tool for error mitigation in quantum simulation of physical systems. However, we need both noisy and noise-free data to train neural networks to mitigate errors in quantum computing results. Here, we propose a ph...
The Discrete Noise Approximation in Quantum Circuits
Keith R. Fratus, J. Leppakangas, M. Marthaler +1 more·Oct 31, 2023
When modeling the effects of noise on quantum circuits, one often makes the assumption that these effects can be accounted for by individual decoherence events following an otherwise noise-free gate. In this work, we address the validity of this mode...
Fault-Tolerant Operation of Bosonic Qubits with Discrete-Variable Ancillae
Qiang-Da Xu, Pei Zeng, Daohong Xu +1 more·Oct 31, 2023
Fault-tolerant quantum computation with bosonic qubits often necessitates the use of noisy discrete-variable ancillae. In this work, we establish a comprehensive and practical fault-tolerance framework for such a hybrid system and synthesize it with ...
Efficient entanglement purification based on noise guessing decoding
André Roque, Diogo Cruz, Francisco A. Monteiro +1 more·Oct 30, 2023
In this paper, we propose a novel bipartite entanglement purification protocol built upon hashing and upon the guessing random additive noise decoding (GRAND) approach recently devised for classical error correction codes. Our protocol offers substan...
Entanglement-based quantum digital signatures over a deployed campus network.
Joseph C. Chapman, M. Alshowkan, Bing Qi +1 more·Oct 30, 2023
The quantum digital signature protocol offers a replacement for most aspects of public-key digital signatures ubiquitous in today's digital world. A major advantage of a quantum-digital-signatures protocol is that it can have information-theoretic se...
Machine learning on quantum experimental data toward solving quantum many-body problems
Gyungmin Cho, Dohun Kim·Oct 30, 2023
Advancements in the implementation of quantum hardware have enabled the acquisition of data that are intractable for emulation with classical computers. The integration of classical machine learning (ML) algorithms with these data holds potential for...