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 Compression with Polar Codes
J. Weinberg, Avijit Mandal, Henry D. Pfister·Feb 28, 2024
In the quantum compression scheme proposed by Schumacher, Alice compresses a message that Bob decompresses. In that approach, there is some probability of failure and, even when successful, some distortion of the state. For sufficiently large blockle...
A quantum algorithm for learning a graph of bounded degree
Asaf Ferber, Liam Hardiman·Feb 28, 2024
We are presented with a graph, $G$, on $n$ vertices with $m$ edges whose edge set is unknown. Our goal is to learn the edges of $G$ with as few queries to an oracle as possible. When we submit a set $S$ of vertices to the oracle, it tells us whether ...
Two-stage Quantum Estimation and the Asymptotics of Quantum-enhanced Transmittance Sensing
Zihao Gong, Boulat A. Bash·Feb 27, 2024
We consider estimation of a single unknown parameter embedded in a quantum state. Quantum Cramér-Rao bound (QCRB) is the ultimate limit of the mean squared error for any unbiased estimator. While it can be achieved asymptotically for a large number o...
Arbitrary control over multimode wave propagation for machine learning
Tatsuhiro Onodera, Martin M. Stein, Benjamin A. Ash +10 more·Feb 27, 2024
Controlled multimode wave propagation can enable more space-efficient photonic processors than architectures based on discrete components connected by single-mode waveguides. Instead of defining discrete elements, one can sculpt the continuous substr...
Method for SOFI-based spatial super-resolution in nanosensing with blinking emitters
Alexander Mikhalychev, Alex Ulyanenkov·Feb 27, 2024
We propose a method of spatial resolution enhancement in metrology (thermometry, magnetometry, pH estimation, and similar methods) with blinking fluorescent nanosensors by combining sensing with super-resolution optical fluctuation imaging (SOFI). By...
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...