Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Prolegomena to a hybrid classical/Rydberg simulator for hadronization (QuPyth)
Blake Senseman, Zane Ozzello, Kenneth Heitritter +2 more·Dec 5, 2022
Programmable neutral-atom arrays provide a promising route to real-time analog simulation of strongly interacting quantum systems. We introduce a two leg Rydberg atom ladder that realizes string dynamics and controllable particle production using exp...
Exploring the Limitations of Hybrid Adiabatic Quantum Computing for Emission Tomography Reconstruction
M. Nau, A. Vija, W. Gohn +2 more·Dec 2, 2022
Our study explores the feasibility of quantum computing in emission tomography reconstruction, addressing a noisy ill-conditioned inverse problem. In current clinical practice, this is typically solved by iterative methods minimizing a L2 norm. After...
Hybrid Quantum-Classical Autoencoders for End-to-End Radio Communication
Zsolt I. Tabi, Bence Bakó, Dániel Nagy +4 more·Dec 1, 2022
Quantum neural networks are emerging as poten-tial candidates to leverage noisy quantum processing units for applications. Here we introduce hybrid quantum-classical au-to encoders for end-to-end radio communication. In the physical layer of classica...
Hybrid Gate-Pulse Model for Variational Quantum Algorithms
Zhiding Liang, Zhixin Song, Jinglei Cheng +8 more·Dec 1, 2022
Current quantum programs are mostly synthesized and compiled on the gate-level, where quantum circuits are composed of quantum gates. The gate-level workflow, however, introduces significant redundancy when quantum gates are eventually transformed in...
Quantum Neural Networks for a Supply Chain Logistics Application
R. Correll, Sean J. Weinberg, F. Sanches +2 more·Nov 30, 2022
Problem instances of a size suitable for practical applications are not likely to be addressed during the noisy intermediate‐scale quantum (NISQ) period with (almost) pure quantum algorithms. Hybrid classical‐quantum algorithms have potential, howeve...
Benchmarking Simulated and Physical Quantum Processing Units Using Quantum and Hybrid Algorithms
Mohammad Kordzanganeh, M. Buchberger, Maxim Povolotskii +6 more·Nov 28, 2022
Powerful hardware services and software libraries are vital tools for quickly and affordably designing, testing, and executing quantum algorithms. A robust large‐scale study of how the performance of these platforms scales with the number of qubits i...
Quantum Dot-Based Frequency Multiplier
G. Oakes, L. Peri, L. Cochrane +8 more·Nov 25, 2022
Silicon offers the enticing opportunity to integrate hybrid quantum-classical computing systems on a single platform. For qubit control and readout, high-frequency signals are required. Therefore, devices that can facilitate its generation are needed...
Performance Study of Variational Quantum Algorithms for Solving the Poisson Equation on a Quantum Computer
Mazen Ali, M. Kabel·Nov 25, 2022
Recent advances in quantum computing and their increased availability has led to a growing interest in possible applications. Among those is the solution of partial differential equations (PDEs) for, e.g., material or flow simulation. Currently, the ...
Gradient Estimation with Constant Scaling for Hybrid Quantum Machine Learning
Thomas Hoffmann, Douglas Brown·Nov 25, 2022
We present a novel method for determining gradients of parameterised quantum circuits (PQCs) in hybrid quantum-classical machine learning models by applying the multivariate version of the simultaneous perturbation stochastic approximation (SPSA) alg...
Unbalanced penalization: a new approach to encode inequality constraints of combinatorial problems for quantum optimization algorithms
J. A. Montañez-Barrera, Alberto Maldonado-Romo, D. Willsch +1 more·Nov 25, 2022
Solving combinatorial optimization problems of the kind that can be codified by quadratic unconstrained binary optimization (QUBO) is a promising application of quantum computation. Some problems of this class suitable for practical applications such...
Using a quantum computer to solve a real-world problem -- what can be achieved today?
R. Cumming, Tim Thomas·Nov 23, 2022
Quantum computing is an important developing technology with the potential to revolutionise the landscape of scientific and business problems that can be practically addressed. The widespread excitement derives from the potential for a fault tolerant...
Software for Massively Parallel Quantum Computing
Thien Nguyen, Daanish Arya, M. Doherty +5 more·Nov 23, 2022
Quantum computing has the potential to offer substantial computational advantages over conventional computing. Recent advances in quantum computing hardware and algorithms have enabled a class of classically parallel quantum workloads, whereby indivi...
The NISQ Complexity of Collision Finding
Yassine Hamoudi, Qipeng Liu, Makrand Sinha·Nov 23, 2022
Collision-resistant hashing, a fundamental primitive in modern cryptography, ensures that there is no efficient way to find distinct inputs that produce the same hash value. This property underpins the security of various cryptographic applications, ...
Photonic Quantum Computing For Polymer Classification
A. Stoyanova, Taha Hammadia, Arno Ricou +1 more·Nov 22, 2022
We present a hybrid classical-quantum approach to the binary classification of polymer structures. Two polymer classes visual (VIS) and near-infrared (NIR) are defined based on the size of the polymer gaps. The hybrid approach combines one of the thr...
A quantum-bit encoding converter
Tom Darras, B. Asenbeck, G. Guccione +3 more·Nov 18, 2022
A conversion of quantum information between single-photon and cat-state qubits is demonstrated by teleportation using optical hybrid entanglement. The classical limit of conversion is exceeded over the full Bloch sphere, with an average fidelity abov...
Quantum approximate optimization algorithm parameter prediction using a convolutional neural network
Ningyi Xie, Xinwei Lee, DongSheng Cai +2 more·Nov 17, 2022
The Quantum approximate optimization algorithm (QAOA) is a quantum-classical hybrid algorithm aiming to produce approximate solutions for combinatorial optimization problems. In the QAOA, the quantum part prepares a quantum parameterized state that e...
Noise-robust ground state energy estimates from deep quantum circuits
H. J. Vallury, Michael A. Jones, G. White +3 more·Nov 16, 2022
In the lead up to fault tolerance, the utility of quantum computing will be determined by how adequately the effects of noise can be circumvented in quantum algorithms. Hybrid quantum-classical algorithms such as the variational quantum eigensolver (...
Quasiparticle poisoning rate in a superconducting transmon qubit involving Majorana zero modes
Xiaopei Sun, Zhaozheng Lyu, Enna Zhuo +8 more·Nov 15, 2022
Majorana zero modes have been attracting considerable attention because of their prospective applications in fault-tolerant topological quantum computing. In recent years, some schemes have been proposed to detect and manipulate Majorana zero modes u...
QuDiet: A classical simulation platform for qubit-qudit hybrid quantum systems
Turbasu Chatterjee, Arnav Das, Subhayu Kumar Bala +3 more·Nov 15, 2022
In the recent years, numerous research advancements have extended the limit of classical simulation of quantum algorithms. Although, most of the state-of-the-art classical simulators are only limited to binary quantum systems, which restrict the clas...
Molecular electric dipole moments: from light to heavy molecules using a relativistic VQE algorithm
K. R. Swain, V. S. Prasannaa, K. Sugisaki +1 more·Nov 13, 2022
The quantum-classical hybrid Variational Quantum Eigensolver (VQE) algorithm is recognized to be the most suitable approach to obtain ground state energies of quantum many-body systems in the noisy intermediate scale quantum era. In this work, we ext...