Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
QMA vs QCMA and Pseudorandomness
Jiahui Liu, Saachi Mutreja, H. Yuen·Nov 21, 2024
We study a longstanding question of Aaronson and Kuperberg on whether there exists a classical oracle separating QMA from QCMA. Settling this question in either direction would yield insight into the power of quantum proofs over classical proofs. We ...
Quantum Annealing based Hybrid Strategies for Real Time Route Optimization
Sushil Mario, Pavan Teja Pothamsetti, Louie Antony Thalakottor +6 more·Nov 21, 2024
One of the most well-known problems in transportation and logistics is the Capacitated Vehicle Routing Problem (CVRP). It involves optimizing a set of truck routes to service a set of customers, subject to limits on truck capacity, to reduce travel c...
Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning
Chelsea A. Williams, Stefano Scali, A. A. Gentile +2 more·Nov 21, 2024
Quantum differential equation solvers aim to prepare solutions as $n$-qubit quantum states over a fine grid of $O(2^n)$ points, surpassing the linear scaling of classical solvers. However, unlike classically stored vectors of solutions, the readout o...
Certain BCS wavefunctions are quantum many-body scars
Kiryl Pakrouski, Zimo Sun·Nov 20, 2024
We construct many-body scar states in multi-flavour fermionic lattice models that possess strong magnetic or superconducting correlations of a given type specified by a unitary matrix $A$. One of the states maximizes the one-point correlations over t...
Theory-independent monitoring of the decoherence of a superconducting qubit with generalized contextuality
Albert Aloy, Matteo Fadel, Thomas D. Galley +2 more·Nov 20, 2024
Characterizing the nonclassicality of quantum systems under minimal assumptions is an important challenge for quantum foundations and technology. Here we introduce a theory-independent method of process tomography and perform it on a superconducting ...
Machine Learning for Arbitrary Single-Qubit Rotations on an Embedded Device
Madhav Narayan Bhat, Marco Russo, Luca P. Carloni +4 more·Nov 20, 2024
Here we present a technique for using machine learning (ML) for single-qubit gate synthesis on field programmable logic for a superconducting transmon-based quantum computer based on simulated studies. Our approach is multi-stage. We first bootstrap ...
Cooperative quantum interface for noise mitigation in quantum networks
Yan‐Lei Zhang, Ming Li, Xin-Biao Xu +5 more·Nov 20, 2024
Quantum frequency converters that enable the interface between the itinerant photons and qubits are indispensable for realizing long-distance quantum network. However, the cascaded connection between converters and qubits usually brings additional in...
Optimized four-qubit quantum error correcting code for amplitude damping channel
Xuanhui Mao, Qiang-Da Xu, Liang Jiang·Nov 20, 2024
Quantum error correction (QEC) is essential for reliable quantum information processing. Targeting a particular error channel, both the encoding and the recovery channel can be optimized through a biconvex optimization to give a high-performance, noi...
Measurement-Free Code-Switching Protocol for Low-Overhead Quantum Computation Using Permutation-Invariant Codes
Yingkai Ouyang, Yumang Jing, G. Brennen·Nov 20, 2024
Transversal gates on quantum error correction codes have been a promising approach for fault-tolerant quantum computing, but are limited by the Eastin-Knill no-go theorem. Existing solutions such as gate teleportation and magic state distillation a...
The weight hierarchy of decreasing norm-trace codes
Eduardo Camps-Moreno, Hiram H. L'opez, Gretchen L. Matthews +1 more·Nov 20, 2024
The Generalized Hamming weights and their relative version, which generalize the minimum distance of a linear code, are relevant to numerous applications, including coding on the wire-tap channel of type II, t-resilient functions, bounding the cardin...
Benchmarking Quantum Convolutional Neural Networks for Classification and Data Compression Tasks
Jun Yong Khoo, Chee Kwan Gan, W.-Q. Ding +3 more·Nov 20, 2024
Quantum Convolutional Neural Networks (QCNNs) have emerged as promising models for quantum machine learning tasks, including classification and data compression. This paper investigates the performance of QCNNs in comparison to the hardware-efficient...
A universal framework for the quantum simulation of Yang–Mills theory
Jad C. Halimeh, Masanori Hanada, Shunji Matsuura +3 more·Nov 20, 2024
Quantum computers promise to simulate complex quantum field theories that are intractable for classical computers, potentially revealing new physics in strongly interacting systems. Current approaches for simulating Yang-Mills gauge theories face sig...
Improved fluxonium readout through dynamic flux pulsing
Taryn V. Stefanski, Figen Yilmaz, Eugene Y. Huang +5 more·Nov 20, 2024
The ability to perform rapid, high fidelity readout of a qubit state is an important requirement for quantum algorithms and, in particular, for enabling operations such as mid-circuit measurements and measurement-based feedback for error correction s...
Degenerate quantum erasure decoding
Kao-Yueh Kuo, Yingkai Ouyang·Nov 20, 2024
Erasures are the primary type of errors in physical systems dominated by leakage errors. While quantum error correction (QEC) using stabilizer codes can combat erasure errors, it remains unknown which constructions achieve capacity performance. If ...
Entanglement teleportation along a regenerating hamster-wheel graph state
Haiyue Kang, John F. Kam, Gary J. Mooney +1 more·Nov 20, 2024
We present an efficient and reusable approach to quantum teleportation that allows cyclic teleportation of a two-qubit graph state around a quantum hamster wheel—a ring of qubits entangled as a one-dimensional line prepared on the 20-qubit Quantinuum...
D-commuting SYK model: building quantum chaos from integrable blocks
Ping Gao, Han Lin, Cheng Peng·Nov 19, 2024
We construct a new family of quantum chaotic models by combining multiple copies of integrable commuting SYK models. As each copy of the commuting SYK model does not commute with others, this construction breaks the integrability of each commuting SY...
High-fidelity entanglement of metastable trapped-ion qubits with integrated erasure conversion
A. Quinn, G. J. Gregory, I. D. Moore +6 more·Nov 19, 2024
Today's most advanced ion trap quantum computers have significant overhead due to the need for dual-species operation. Looking ahead, logical qubit register sizes will be limited by the encoding rate needed to correct generic Pauli errors. We address...
Quantum advantage from soft decoders
André Chailloux, Jean-Pierre Tillich·Nov 19, 2024
In the last years, Regev's reduction has been used as a quantum algorithmic tool for providing a quantum advantage for variants of the decoding problem. Following this line of work, the authors of [JSW+24] have recently come up with a quantum algorit...
Asymptotic robustness of entanglement in noisy quantum networks and graph connectivity
Fernando Lledó, Carlos Palazuelos, Julio I. de Vicente·Nov 19, 2024
Quantum networks are promising venues for quantum information processing. This motivates the study of the entanglement properties of the particular multipartite quantum states that underpin these structures. In particular, it has been recently shown ...
Design of an FPGA-Based Neutral Atom Rearrangement Accelerator for Quantum Computing
Xiaorang Guo, Jonas Winklmann, Dirk Stober +2 more·Nov 19, 2024
Neutral atoms have emerged as a promising technology for implementing quantum computers due to their scalability and long coherence times. However, the execution frequency of neutral atom quantum computers is constrained by image processing procedure...