Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Quantum state preparation via piecewise QSVT
O. O'Brien, Christoph Sünderhauf·Sep 11, 2024
Efficient state preparation is essential for implementing efficient quantum algorithms. Whilst several techniques for low-cost state preparation exist, this work facilitates further classes of states, whose amplitudes are well approximated by piecewi...
Efficient state preparation for multivariate Monte Carlo simulation
Hitomi Mori, K. Mitarai, Keisuke Fujii·Sep 11, 2024
Quantum state preparation is a task to prepare a state with a specific function encoded in the amplitude, which is an essential subroutine in many quantum algorithms. In this paper, we focus on multivariate state preparation, as it is an important ex...
Generalization error bound for quantum machine learning in NISQ era—a survey
Bikram Khanal, Pablo Rivas, Arun Sanjel +3 more·Sep 11, 2024
Despite the mounting anticipation for the quantum revolution, the success of quantum machine learning (QML) in the noisy intermediate-scale quantum (NISQ) era hinges on a largely unexplored factor: the generalization error bound, a cornerstone of rob...
Introducing UNIQuE: The Unconventional Noiseless Intermediate Quantum Emulator
Reece Robertson, D. Ventura·Sep 11, 2024
We implement an open-source quantum computing emulator that includes arithmetic operations, the quantum Fourier transform, and quantum phase estimation. The emulator provides significant savings in both temporal and spatial resources compared to simu...
From Feynman integrals to quantum algorithms: the Loop-Tree Duality connection
G. Sborlini·Sep 11, 2024
In the context of high-energy particle physics, a reliable theory-experiment confrontation requires precise theoretical predictions. This translates into accessing higher-perturbative orders, and when we pursue this objective, we inevitably face the ...
Constant-depth fan-out with real-time feedforward on a superconducting quantum processor
Yongxin Song, L. Beltr'an, Ilya Besedin +8 more·Sep 11, 2024
When using unitary gate sequences, the growth in depth of many quantum circuits with output size poses significant obstacles to practical quantum computation. The quantum fan-out operation, which reduces the circuit depth of quantum algorithms such a...
Developing a Framework for Sonifying Variational Quantum Algorithms: Implications for Music Composition
P. Itaboraí, Peter Thomas, Arianna Crippa +3 more·Sep 11, 2024
This chapter examines the Variational Quantum Harmonizer, a software tool and musical interface that focuses on the problem of sonification of the minimization steps of Variational Quantum Algorithms (VQA), used for simulating properties of quantum s...
Spontaneous symmetry breaking in a <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mi>S</mml:mi><mml:mi>O</mml:mi><mml:mo>(</mml:mo><mml:mn>3</mml:mn><mml:mo>)</mml:mo></mml:mrow></mml:math> non-Abelian lattice gauge theory in <mml:math xmlns:mml="http://www.w3.org/1998/Ma
Sandip Maiti, Debasish Banerjee, Bipasha Chakraborty +1 more·Sep 11, 2024
The simulation of various properties of quantum field theories is rapidly becoming a testing ground for demonstrating the prowess of quantum algorithms. Some examples include the preparation of ground states, as well as the investigation of various s...
Quantum-Train with Tensor Network Mapping Model and Distributed Circuit Ansatz
Chen-Yu Liu, Chu-Hsuan Abraham Lin, Kuan-Cheng Chen·Sep 11, 2024
In the Quantum-Train (QT) framework, mapping quantum state measurements to classical neural network weights is a critical challenge that affects the scalability and efficiency of hybrid quantum-classical models. The traditional QT framework employs a...
Development of TiN/AlN-Based Superconducting Qubit Components
Benedikt Schoof, Moritz Singer, Simon Lang +4 more·Sep 11, 2024
This paper presents the fabrication and characterization of superconducting qubit components from titanium nitride (TiN) and aluminum nitride (AlN) layers to create Josephson junctions and superconducting resonators in an all-nitride architecture. Ou...
Learning Robust Observable to Address Noise in Quantum Machine Learning
Bikram Khanal, Pablo Rivas·Sep 11, 2024
Quantum Machine Learning (QML) has emerged as a promising field that combines the power of quantum computing with the principles of machine learning. One of the significant challenges in QML is dealing with noise in quantum systems, especially in the...
A High-Performance List Decoding Algorithm for Surface Codes with Erroneous Syndrome
Jifan Liang, Qianfan Wang, Lvzhou Li +1 more·Sep 11, 2024
Quantum error-correcting codes (QECCs) are necessary for fault-tolerant quantum computation. Surface codes are a class of topological QECCs that have attracted significant attention due to their exceptional error-correcting capabilities and easy impl...
A Comprehensive Cross-Model Framework for Benchmarking the Performance of Quantum Hamiltonian Simulations
Avimita Chatterjee, Sonny Rappaport, Anish Giri +5 more·Sep 11, 2024
Quantum Hamiltonian simulation is one of the most promising applications of quantum computing and forms the basis for many quantum algorithms. Benchmarking them is an important gauge of progress in quantum computing technology. We present a methodolo...
Detect anomalous quartic gauge couplings at muon colliders with quantum kernel k-means
Shuai Zhang, Kebin Chen, Ji-Chong Yang·Sep 11, 2024
In recent years, with the increasing luminosities of colliders, handling the growing amount of data has become a major challenge for future New Physics (NP) phenomenological research. In order to improve efficiency, machine learning algorithms have b...
In Situ Tunable Interaction with an Invertible Sign between a Fluxonium and a Post Cavity
Desislava Atanasova, Ian Yang, Teresa Honigl-Decrinis +3 more·Sep 11, 2024
Quantum computation with bosonic modes presents a powerful paradigm for harnessing the principles of quantum mechanics to perform complex information processing tasks. In constructing a bosonic qubit with superconducting circuits, nonlinearity is typ...
A compact QUBO encoding of computational logic formulae demonstrated on cryptography constructions
Gregory Morse, Tamás Kozsik, Oskar Mencer +1 more·Sep 10, 2024
We aim to advance the state-of-the-art in Quadratic Unconstrained Binary Optimization formulation with a focus on cryptography algorithms. As the minimal QUBO encoding of the linear constraints of optimization problems emerges as the solution of inte...
Tailoring the light-matter interaction for high-fidelity holonomic gate operations in multiple systems
Zhihuang Kang, Shutong Wu, Kunji Han +4 more·Sep 10, 2024
Realization of quantum computing requires the development of high-fidelity quantum gates that are resilient to decoherence, control errors, and environmental noise. While non-adiabatic holonomic quantum computation (NHQC) offers a promising approach,...
Quantum-State Texture and Gate Identification.
F. Parisio·Sep 10, 2024
We introduce and explore the notion of texture of an arbitrary quantum state, in a selected basis. In the first part of this Letter we develop a resource theory and show that state texture is adequately described by an easily computable monotone, whi...
Alternative Bell's states and teleportation
J. M. Romero, Emiliano Montoya-Gonzalez, Oscar Velazquez-Alvarado·Sep 10, 2024
Bell's states are among the most useful in quantum computing. These state are an orthonormal base of entagled states with two qubits. We propose alternative bases of entangled states. Some of these states depend on a continuous parameter. We present ...
Deterministic generation of two-dimensional multi-photon cluster states
James O’Sullivan, K. Reuer, Aleksandr Grigorev +11 more·Sep 10, 2024
Multidimensional cluster states are a key resource for robust quantum communication, measurement-based quantum computing and quantum metrology. Here, we present a device capable of emitting large-scale entangled microwave photonic states in a two dim...