Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Passive Photonic CZ Gate with Two-Level Emitters in Chiral Multimode Waveguide QED
Tomás Levy-Yeyati, C. Vega, T. Ramos +1 more·Jul 8, 2024
Engineering deterministic photonic gates with simple resources is one of the long-standing challenges in photonic quantum computing. Here, we design a passive conditional gate between copropagating photons using an array of only two-level emitters. T...
Over-rotation coherent error induced by pseudotwirling of quantum gates
Tanmoy Pandit, R. Uzdin·Jul 8, 2024
Quantum error mitigation schemes (QEM) have greatly enhanced the performance of quantum computers, mostly by reducing errors caused by interactions with the environment. Nevertheless, the presence of coherence errors, typically arising from miscalibr...
Variational Quantum Algorithms for Combinatorial Optimization
Daniel F. Pérez-Ramírez·Jul 8, 2024
The promise of quantum computing to address complex problems requiring high computational resources has long been hindered by the intrinsic and demanding requirements of quantum hardware development. Nonetheless, the current state of quantum computin...
Systematic time-coarse graining for driven quantum systems
Leon Bello, Wentao Fan, Aditya Gandotra +1 more·Jul 8, 2024
Many recent advancements in quantum computing leverage strong drives on nonlinear systems for state preparation, signal amplification, or gate operation. However, the interplay within such strongly driven system introduces multi-scale dynamics that a...
Multiple-shot labeling of quantum observables
Seyed Arash Ghoreishi, Nidhin Sudarsanan Ragini, Sk Sazim +1 more·Jul 7, 2024
Quantum labeling tasks ask one to recover the missing associations between classical outcome labels and the effects forming the POVM. We study labeling in the multiple-shot regime, allowing a finite number of uses of the device and the most general t...
Quantum Dynamics of Machine Learning
Peng Wang, Maimaitiniyazi Maimaitiabudula·Jul 7, 2024
The quantum dynamic equation (QDE) of machine learning is obtained based on Schr\"odinger equation and potential energy equivalence relationship. Through Wick rotation, the relationship between quantum dynamics and thermodynamics is also established ...
Shared Randomness Helps with Local Distributed Problems
Alkida Balliu, Mohsen Ghaffari, Fabian Kuhn +5 more·Jul 7, 2024
By prior work, we have many results related to distributed graph algorithms for problems that can be defined with local constraints; the formal framework used in prior work is locally checkable labeling problems (LCLs), introduced by Naor and Stockme...
A Multiparty Quantum Private Equality Comparison Scheme Relying on |GHZ3⟩ States
Theodore Andronikos, Alla Sirokofskich·Jul 7, 2024
In this work, we present a new protocol that accomplishes multiparty quantum private comparison leveraging maximally entangled |GHZ3⟩ triplets. Our intention was to develop a protocol that can be readily executed by contemporary quantum computers. Th...
A Web-based Software Development Kit for Quantum Network Simulation
Stephen DiAdamo, Francesco Vista·Jul 7, 2024
Quantum network simulation is an essential step towards developing applications for quantum networks and determining minimal requirements for the network hardware. As it is with classical networking, a simulation ecosystem allows for application deve...
Simulation of temperature-dependent quantum gates in silicon quantum dots with frequency shifts
Yudai Sato, Takayuki Kawahara·Jul 7, 2024
To achieve quantum computing using semiconductor spin qubits, the spin qubits must be precisely controlled. However, unexpected noise limits this precision and prevents the implementation of error correction codes. Specifically, frequency shifts have...
A typology of quantum algorithms
P. Arnault, P. Arrighi, Steve Herbert +2 more·Jul 6, 2024
We draw the current landscape of quantum algorithms, by classifying about 130 quantum algorithms, according to the fundamental mathematical problems they solve, their real-world applications, the main subroutines they employ, and several other releva...
Quantum algorithm for partial differential equations of nonconservative systems with spatially varying parameters
Yuki Sato, Hiroyuki Tezuka, R. Kondo +1 more·Jul 6, 2024
Partial differential equations (PDEs) are crucial for modeling various physical phenomena such as heat transfer, fluid flow, and electromagnetic waves. In computer-aided engineering (CAE), the ability to handle fine resolutions and large computationa...
Qudit Dynamical Decoupling on a Superconducting Quantum Processor.
Vinay Tripathi, Noah Goss, A. Vezvaee +3 more·Jul 5, 2024
Multilevel qudit systems are increasingly being explored as alternatives to traditional qubit systems due to their denser information storage and processing potential. However, qudits are more susceptible to decoherence than qubits due to increased l...
Efficient Simulation of Quantum Chemistry Problems in an Enlarged Basis Set
Maxine Luo, J. I. Cirac·Jul 5, 2024
We propose a quantum algorithm to simulate the dynamics in quantum chemistry problems. It is based on adding fresh qubits at each Trotter step, which enables a simpler implementation of the dynamics in the extended system. After each step, the extra ...
Symmetry-informed transferability of optimal parameters in the quantum approximate optimization algorithm
Isak Lyngfelt, Laura Garc'ia-'Alvarez·Jul 5, 2024
One of the main limitations of variational quantum algorithms is the classical optimization of the highly dimensional nonconvex variational parameter landscape. To simplify this optimization, we can reduce the search space using problem symmetries an...
Complexification of Quantum Signal Processing and its Ramifications
V. M. Bastidas, K. J. Joven·Jul 5, 2024
In recent years there has been an increasing interest on the theoretical and experimental investigation of space-time dual quantum circuits. They exhibit unique properties and have applications to diverse fields. Periodic space-time dual quantum circ...
Exploiting the equivalence between quantum neural networks and perceptrons
Chris Mingard, Jessica Pointing, Charles London +2 more·Jul 5, 2024
Quantum machine learning models based on parametrized quantum circuits, also called quantum neural networks (QNNs), are considered to be among the most promising candidates for applications on near-term quantum devices. Here we explore the expressivi...
Benchmarking variational quantum eigensolvers for entanglement detection in many-body Hamiltonian ground states
Alexandre Drinko, G. I. Correr, Ivan Medina +3 more·Jul 5, 2024
Variational quantum algorithms (VQAs) have emerged in recent years as a promise to obtain quantum advantage. These task-oriented algorithms work in a hybrid loop combining a quantum processor and classical optimization. Using a specific class of VQA ...
Discovering Local Hidden-Variable Models for Arbitrary Multipartite Entangled States and Arbitrary Measurements
Nick von Selzam, Florian Marquardt·Jul 5, 2024
Measurement correlations in quantum systems can exhibit nonlocal behavior, a fundamental aspect of quantum mechanics with applications such as device-independent quantum information processing. However, it is in general not known which states are loc...
Utilizing classical programming principles in the Intel Quantum SDK: implementation of quantum lattice Boltzmann method
Tejas Shinde, L. Budinski, Ossi Niemimäki +3 more·Jul 5, 2024
We explore the use of classical programming techniques in implementing the quantum lattice Boltzmann method in the Intel Quantum SDK—a software tool for quantum circuit creation and execution on Intel quantum hardware. As hardware access is limited, ...