Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
MECH: Multi-Entry Communication Highway for Superconducting Quantum Chiplets
Hezi Zhang, Keyi Yin, Anbang Wu +3 more·May 9, 2023
Chiplet architecture is an emerging architecture for quantum computing that could significantly increase qubit resources with its great scalability and modularity. However, as the computing scale increases, communication between qubits would become a...
High-fidelity gates with mid-circuit erasure conversion in a metastable neutral atom qubit
Shuo Ma, Genyue Liu, Pai Peng +7 more·May 9, 2023
The development of scalable, high-fidelity qubits is a key challenge in quantum information science. Neutral atom qubits have progressed rapidly in recent years, demonstrating programmable processors and quantum simulators with scaling to hundreds of...
Quantum Machine Learning for Malware Classification
Gr'egoire Barru'e, Tony Quertier·May 9, 2023
In a context of malicious software detection, machine learning (ML) is widely used to generalize to new malware. However, it has been demonstrated that ML models can be fooled or may have generalization problems on malware that has never been seen. W...
Experimentally Demonstrating Indefinite Causal Order Algorithms to Solve the Generalized Deutsch's Problem
Wen‐Qiang Liu, Zhe Meng, Bo Song +6 more·May 9, 2023
Deutsch's algorithm is the first quantum algorithm to demonstrate an advantage over classical algorithms. Here, Deutsch's problem is generalized to n$n$ functions and a quantum algorithm with an indefinite causal order is proposed to solve this probl...
Tight Bounds for Quantum Phase Estimation and Related Problems
Nikhil S. Mande, Ronald de Wolf·May 8, 2023
Phase estimation, due to Kitaev [arXiv'95], is one of the most fundamental subroutines in quantum computing. In the basic scenario, one is given black-box access to a unitary $U$, and an eigenstate $\lvert ψ\rangle$ of $U$ with unknown eigenvalue $e^...
Quantum Alternating Operator Ansatz (QAOA) beyond low depth with gradually changing unitaries
Vladimir Kremenetski, A. Apte, T. Hogg +2 more·May 8, 2023
The Quantum Approximate Optimization Algorithm and its generalization to Quantum Alternating Operator Ansatz (QAOA) is a promising approach for applying quantum computers to challenging problems such as combinatorial optimization and computational ch...
Folded Spectrum VQE: A Quantum Computing Method for the Calculation of Molecular Excited States
Lila Cadi Tazi, A. Thom·May 8, 2023
The recent developments of quantum computing present novel potential pathways for quantum chemistry as the scaling of the computational power of quantum computers could be harnessed to naturally encode and solve electronic structure problems. Theoret...
Bursts of polarised single photons from atom-cavity sources
Jann Ernst, Juan-Rafael Álvarez, T. Barrett +1 more·May 8, 2023
Photonic qubits play an instrumental role in the development of advanced quantum technologies, including quantum networking, boson sampling and measurement based quantum computing. A promising framework for the deterministic production of indistingui...
Competition of decoherence and quantum speed limits for quantum-gate fidelity in the Jaynes-Cummings model
S. Pratapsi, L. Buffoni, S. Gherardini·May 8, 2023
Quantum computers are operated by external driving fields, such as lasers, microwaves, or transmission lines, that execute logical operations on multiqubit registers, leaving the system in a pure state. However, the drive and the logical system might...
Operational Markovianization in randomized benchmarking
Pedro Figueroa Romero, Miha Papič, Adrian Auer +3 more·May 8, 2023
A crucial task to obtain optimal and reliable quantum devices is to quantify their overall performance. The average fidelity of quantum gates is a particular figure of merit that can be estimated efficiently by randomized benchmarking (RB). However, ...
Modular Cluster Circuits for the Variational Quantum Eigensolver.
S. E. Ghasempouri, G. Dueck, Stijn De Baerdemacker·May 8, 2023
The variational quantum eigensolver algorithm recently became a popular method to compute the quantum chemical properties of molecules on noisy intermediate scale quantum (NISQ) devices. In order to avoid noise accumulation from the NISQ device in th...
Quantum simulation of the 1D Fermi-Hubbard model as a $\mathrm{Z}_2$ lattice-gauge theory
Uliana E. Khodaeva, D. Kovrizhin, J. Knolle·May 8, 2023
The Fermi-Hubbard model is one of the central paradigms in the physics of strongly-correlated quantum many-body systems. Here we propose a quantum circuit algorithm based on the $\mathrm{Z}_2$ lattice gauge theory (LGT) representation of the one-dime...
A sharp phase transition in linear cross-entropy benchmarking
Brayden Ware, A. Deshpande, D. Hangleiter +4 more·May 8, 2023
Demonstrations of quantum computational advantage and benchmarks of quantum processors via quantum random circuit sampling are based on evaluating the linear cross-entropy benchmark (XEB). A key question in the theory of XEB is whether it approximate...
Phonon-induced decoherence in color-center qubits
Prajit Dhara, S. Guha·May 8, 2023
Electron spin states of solid-state defects such as Nitrogen- and Silicon-vacancy {\em color centers} in diamond are a leading quantum-memory candidate for quantum communications and computing. Via open-quantum-systems modeling of spin-phonon couplin...
Reducing the Compilation Time of Quantum Circuits Using Pre-Compilation on the Gate Level
Nils Quetschlich, Lukas Burgholzer, R. Wille·May 8, 2023
In order to implement a quantum computing application, problem instances must be encoded into a quantum circuit and then compiled for a specific platform. The lengthy compilation process is a key bottleneck in this workflow, especially for problems t...
The unified effect of data encoding, ansatz expressibility and entanglement on the trainability of HQNNs
Muhammad Kashif, S. Al-kuwari·May 8, 2023
Recent advances in quantum computing and machine learning have brought about a promising intersection of these two fields, leading to the emergence of quantum machine learning (QML). However, the integration of quantum computing and machine learning ...
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 ...
Crosstalk-Based Parameterized Quantum Circuit Approximation
Mohannad Ibrahim, N. Bronn, Gregory T. Byrd·May 7, 2023
In this paper, we propose an ansatz approximation approach for variational quantum algorithms (VQAs) that uses one of the hardware's main attributes, its crosstalk behavior, as its main approximation driver. By utilizing crosstalk-adaptive scheduling...
Superoscillating quantum control induced by sequential selections
Yongcheng Ding, Yiming Pan, Xi Chen·May 7, 2023
Superoscillation is a counterintuitive phenomenon for its mathematical feature of ``faster-than-Fourier", which has allowed novel optical imaging beyond the diffraction limit. In this article, we introduce a superoscillating quantum control protocol ...
Fully directional quantum-limited phase-preserving amplifier
Gangqiang Liu, A. Lingenfelter, V. Joshi +4 more·May 7, 2023
We present a way to achieve fully directional, quantum-limited phase-preserving amplification in a four-port, four-mode superconducting Josephson circuit by utilizing interference between six parametric processes that couple all four modes. Full dire...