Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
A Computational Tsirelson's Theorem for the Value of Compiled XOR Games
David Cui, Giulio Malavolta, Arthur Mehta +5 more·Feb 27, 2024
Nonlocal games are a foundational tool for understanding entanglement and constructing quantum protocols in settings with multiple spatially separated quantum devices. In this work, we continue the study initiated by Kalai et al. (STOC '23) of compil...
Time series generation for option pricing on quantum computers using tensor network
Nozomu Kobayashi, Yoshiyuki Suimon, Koichi Miyamoto·Feb 27, 2024
Finance, especially option pricing, is a promising industrial field that might benefit from quantum computing. While quantum algorithms for option pricing have been proposed, it is desired to devise more efficient implementations of costly operations...
Cost of emulating a small quantum annealing problem in the circuit model
Javier Gonzalez-Conde, Zachary Morrell, Marc Vuffray +2 more·Feb 27, 2024
Demonstrations of quantum advantage for certain sampling problems have generated considerable excitement for quantum computing and have further spurred the development of circuit-model quantum computers, which represent quantum programs as a sequence...
A linear photonic swap test circuit for quantum kernel estimation
Alessio Baldazzi, N. Leone, M. Sanna +2 more·Feb 27, 2024
The swap test is a quantum algorithm capable of computing the absolute value of the scalar product of two arbitrary wavefunctions. Scalar products represent a crucial ingredient to many quantum machine learning (QML) methods, but their evaluation is ...
Electron-beam annealing of Josephson junctions for frequency tuning of quantum processors
Yashwanth Balaji, Narendra Acharya, Robert Armstrong +7 more·Feb 27, 2024
Superconducting qubits are a promising route to achieving large-scale quantum computers. A key challenge in realising large-scale superconducting quantum processors involves mitigating frequency collisions. In this paper, we present an approach to tu...
Note on simple and consistent gateset characterization including calibration and decoherence errors
J. Epstein·Feb 27, 2024
Building high-fidelity quantum computers requires efficient methods for the characterization of gate errors that provide actionable information that may be fed back into engineering efforts. Extraction of realistic error models is also critical to ac...
Quantum Circuit Discovery for Fault-Tolerant Logical State Preparation with Reinforcement Learning
Remmy Zen, J. Olle, Luis Colmenarez +3 more·Feb 27, 2024
The realization of large-scale quantum computers requires not only quantum error correction (QEC) but also fault-tolerant operations to handle errors that propagate into harmful errors. Recently, flag-based protocols have been introduced that use anc...
A heuristic for solving the irregular strip packing problem with quantum optimization
P. Matt, Marco Roth·Feb 27, 2024
We introduce a novel quantum computing heuristic for solving the irregular strip packing problem, a significant challenge in optimizing material usage across various industries. This problem involves arranging a set of irregular polygonal pieces with...
Digital quantum simulations of Hong-Ou-Mandel interference
N. Mohan, Rikteem Bhowmick, Devesh Kumar +1 more·Feb 27, 2024
Quantum computers can efficiently simulate quantum systems evolving according to local interactions, making them valuable for exploring quantum many-body dynamics, despite current hardware and algorithmic challenges. In this work, we address the digi...
A quantum approach to synthetic minority oversampling technique (SMOTE)
Nishikanta Mohanty, B. Behera, Christopher Ferrie +1 more·Feb 27, 2024
The paper proposes the Quantum-SMOTE method, a novel solution that uses quantum computing techniques to solve the prevalent problem of class imbalance in machine learning datasets. Quantum-SMOTE, inspired by the Synthetic Minority Oversampling Techni...
Quantum Computing in Logistics and Supply Chain Management an Overview
Frank Phillipson·Feb 27, 2024
The work explores the integration of quantum computing into logistics and supply chain management, emphasising its potential for use in complex optimisation problems. The discussion introduces quantum computing principles, focusing on quantum anneali...
Warm-Starting the VQE with Approximate Complex Amplitude Encoding
Felix Truger, Johanna Barzen, F. Leymann +1 more·Feb 27, 2024
The Variational Quantum Eigensolver (VQE) is a Variational Quantum Algorithm (VQA) to determine the ground state of quantum-mechanical systems. As a VQA, it makes use of a classical computer to optimize parameter values for its quantum circuit. Howev...
Acceptor-Induced Bulk Dielectric Loss in Superconducting Circuits on Silicon
Zi-Huai Zhang, Kadircan Godeneli, Justin He +4 more·Feb 27, 2024
The performance of superconducting quantum circuits is primarily limited by dielectric loss due to interactions with two-level systems (TLSs). State-of-the-art circuits with engineered material interfaces are approaching a limit where dielectric loss...
Demonstration of robust and efficient quantum property learning with shallow shadows
Hong-Ye Hu, Andi Gu, Swarnadeep Majumder +7 more·Feb 27, 2024
Extracting information efficiently from quantum systems is crucial for quantum information processing. Classical shadows enable predicting many properties of arbitrary quantum states using few measurements. While random single-qubit measurements are ...
A Complete Graphical Language for Linear Optical Circuits with Finite-Photon-Number Sources and Detectors
Nicolas Heurtel·Feb 27, 2024
Linear optical circuits can be used to manipulate the quantum states of photons as they pass through components including beam splitters and phase shifters. Those photonic states possess a particularly high level of expressiveness, as they reside wit...
Combining quantum processors with real-time classical communication
Almudena Carrera Vazquez, C. Tornow, D. Ristè +3 more·Feb 27, 2024
Quantum computers process information with the laws of quantum mechanics. Current quantum hardware is noisy, can only store information for a short time and is limited to a few quantum bits, that is, qubits, typically arranged in a planar connectivit...
Quantum distance approximation for persistence diagrams
Bernardo Ameneyro, R. Herrman, G. Siopsis +1 more·Feb 27, 2024
Topological data analysis (TDA) methods can be useful for classification and clustering tasks in many different fields as they can provide two dimensional persistence diagrams that summarize important information about the shape of potentially comple...
Cost of quantum secret key
Karol Horodecki, Leonard Sikorski, Siddhartha Das +1 more·Feb 26, 2024
In this paper, we develop the resource theory of quantum secret key. Operating under the assumption that entangled states with zero distillable key do not exist, we define the key cost of a quantum state, and device. We study its properties through t...
Positivity in Amplitudes and Quantum Entanglement
Rafael Aoude, Gilly Elor, Grant N. Remmen +1 more·Feb 26, 2024
We explore the connection of positivity of the imaginary part of forward elastic amplitudes for perturbative scattering with consistency of the entanglement generated by the S-matrix, for states with arbitrary internal quantum numbers such as flavor....
Exact Calculations of Coherent Information for Toric Codes under Decoherence: Identifying the Fundamental Error Threshold
Jong Yeon Lee·Feb 26, 2024
The toric code is a canonical example of a topological error-correcting code. Two logical qubits stored within the toric code are robust against local decoherence, ensuring that these qubits can be faithfully retrieved as long as the error rate remai...