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 HodgeRank: Topology-based rank aggregation on quantum computers
Caesnan M. G. Leditto, A. Southwell, Behnam Tonekaboni +2 more·Jul 29, 2024
HodgeRank generalizes ranking algorithms, e.g. Google PageRank, to rank alternatives based on real-world (often incomplete) data using graphs and discrete exterior calculus. It analyzes multipartite interactions on high-dimensional networks with a co...
Experimental quantum-enhanced kernels on a photonic processor
Zhenghao Yin, Iris Agresti, G. Felice +9 more·Jul 29, 2024
Recently, machine learning had a remarkable impact, from scientific to everyday-life applications. However, complex tasks often imply unfeasible energy and computational power consumption. Quantum computation might lower such requirements, although i...
Autonomous Bootstrapping of Quantum Dot Devices
Anton Zubchenko, Danielle Middlebrooks, Torbjørn Rasmussen +4 more·Jul 29, 2024
Semiconductor quantum dots (QDs) are a promising platform for multiple different qubit implementations, all of which are voltage controlled by programmable gate electrodes. However, as the QD arrays grow in size and complexity, tuning procedures that...
Analysis of the Non-variational Quantum Walk-based Optimisation Algorithm
Tavis Bennett, L. Noakes, Jingbo Wang·Jul 29, 2024
This paper introduces in detail a non-variational quantum algorithm designed to solve a wide range of combinatorial optimisation problems, including constrained problems and problems with non-binary variables. The algorithm returns optimal and near-o...
Quantum Machine Learning Architecture Search via Deep Reinforcement Learning
Xin Dai, Tzu-Chieh Wei, Shinjae Yoo +1 more·Jul 29, 2024
The rapid advancement of quantum computing (QC) and machine learning (ML) has given rise to the burgeoning field of quantum machine learning (QML), aiming to capitalize on the strengths of quantum computing to propel ML forward. Despite its promise, ...
Single-photon microwave switch with a recoverable control photon
Davide Rinaldi, D. Nigro, Dario Gerace·Jul 29, 2024
Scalable quantum technologies may be applied in prospective architectures employing traditional information processing elements, such as transistors, rectifiers, or switches modulated by low-power inputs. In this respect, recently developed quantum p...
Modular Quantum Processor with an All-to-All Reconfigurable Router
Xuntao Wu, Haoxiong Yan, Gustav Andersson +10 more·Jul 29, 2024
Superconducting qubits provide a promising approach to large-scale fault-tolerant quantum computing. However, qubit connectivity on a planar surface is typically restricted to only a few neighboring qubits. Achieving longer-range and more flexible co...
Quantum long short-term memory for drug discovery
Liang Zhang, Yin Xu, Mohan Wu +2 more·Jul 29, 2024
Quantum computing combined with machine learning (ML) is a highly promising research area, with numerous studies demonstrating that quantum machine learning (QML) is expected to solve scientific problems more effectively than classical ML. In this wo...
Purification and correction of quantum channels by commutation-derived quantum filters
Sowmitra Das, Jinzhao Sun, Michael Hanks +2 more·Jul 29, 2024
Reducing errors is essential for reliable quantum computation. Quantum error mitigation (QEM) and quantum error correction (QEC) are two leading approaches for this task, each with challenges: QEM suffers from high sampling costs and cannot recover s...
Bridging Classical and Quantum: Group-Theoretic Approach to Quantum Circuit Simulation
Daksh Shami·Jul 28, 2024
Efficiently simulating quantum circuits on classical computers is a fundamental challenge in quantum computing. This paper presents a novel theoretical approach that achieves substantial speedups over existing simulators for a wide class of quantum c...
Expectation value estimation with parametrized quantum circuits
Bujiao Wu, Lingyu Kong, Yuxuan Yan +2 more·Jul 28, 2024
Estimating properties of quantum states, such as fidelities, molecular energies, and correlation functions, is a fundamental task in quantum information science. Due to the limitation of practical quantum devices, including limited circuit depth and ...
Anti-Concentration for the Unitary Haar Measure and Applications to Random Quantum Circuits
Bill Fefferman, Soumik Ghosh, Wei Zhan·Jul 28, 2024
We prove a Carbery-Wright style anti-concentration inequality for the unitary Haar measure, by showing that the probability of a polynomial in the entries of a random unitary falling into an $\varepsilon$ range is at most a polynomial in $\varepsilon...
Quantum search by measurements assisted by pre-trained tensor network states for Hamiltonian simulations
Younes Javanmard·Jul 27, 2024
We present a quantum algorithm for simulating complex many-body systems and finding their ground states, combining the use of tensor networks and density matrix renormalization group (DMRG) techniques. The algorithm is based on von Neumann's measurem...
Effects of quadratic optomechanical coupling on bipartite entanglements, mechanical ground-state cooling, and mechanical quadrature squeezing in an electro-optomechanical system
N. Ghorbani, A. Motazedifard, M. Naderi·Jul 27, 2024
We theoretically investigate the steady-state bipartite entanglements, mechanical ground-state cooling, and mechanical quadrature squeezing in a hybrid electro-optomechanical system where a moving membrane is linearly coupled to the microwave field m...
Robust multi-mode superconducting circuit optimized for quantum information processing
P. García-Azorín, F. A. Cárdenas-López, G. B. P. Huber +5 more·Jul 26, 2024
Multi-mode superconducting circuits offer a promising platform for engineering robust systems for quantum computation. Previous studies indicate that single-mode devices cannot be engineered to simultaneously exhibit resilience against multiple decoh...
A Scalable Quantum Non-local Neural Network for Image Classification
Sparsh Gupta, Debanjan Konar, Vaneet Aggarwal·Jul 26, 2024
Non-local operations play a crucial role in computer vision enabling the capture of long-range dependencies through weighted sums of features across the input, surpassing the constraints of traditional convolution operations that focus solely on loca...
Integration of Quantum Accelerators into HPC: Toward a Unified Quantum Platform
Amr Elsharkawy, Xiaorang Guo, Martin Schulz·Jul 26, 2024
To harness the power of quantum computing (QC) in the near future, tight and efficient integration of QC with high performance computing (HPC) infrastructure (both on the software (SW) and the hardware (HW) level) is crucial. This paper addresses the...
Using stochastic resonance of two-level systems to increase qubit coherence times
Yujun Choi, S. Coppersmith, R. Joynt·Jul 26, 2024
Two-level systems (TLS) are the major source of dephasing of spin qubits in numerous quantum computing platforms. In spite of much effort, it has been difficult to substantially mitigate the effects of this noise or, in many cases, to fully understan...
Q-Gen: A Parameterized Quantum Circuit Generator
Yikai Mao, Shaswot Shresthamali, Masaaki Kondo·Jul 26, 2024
Unlike most classical algorithms that take an input and give the solution directly as an output, quantum algorithms produce a quantum circuit that works as an indirect solution to computationally hard problems. In the full quantum computing workflow,...
Fast and Parallelizable Logical Computation with Homological Product Codes
Qiang-Da Xu, Hengyun Zhou, Guo Zheng +5 more·Jul 26, 2024
Quantum error correction is necessary to perform large-scale quantum computation but requires extremely large overheads in both space and time. High-rate quantum low-density-parity-check (qLDPC) codes promise a route to reduce qubit numbers, but perf...