Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Quantum Register Machine: Efficient Implementation of Quantum Recursive Programs
Zhicheng Zhang, Mingsheng Ying·Aug 19, 2024
Quantum recursive programming has been recently introduced for describing sophisticated and complicated quantum algorithms in a compact and elegant way. However, implementation of quantum recursion involves intricate interplay between quantum control...
The curse of random quantum data
Kaining Zhang, Junyu Liu, Liu Liu +3 more·Aug 19, 2024
Quantum machine learning, which involves running machine learning algorithms on quantum devices, may be one of the most significant flagship applications for these devices. Unlike its classical counterparts, the role of data in quantum machine learni...
Demonstration of hardware efficient photonic variational quantum algorithm
Iris Agresti, K. Paul, P. Schiansky +10 more·Aug 19, 2024
Quantum computing has changed the paradigm of computer science, where quantum technologies have promised to outperform classical ones. Such an advantage was only demonstrated for tasks with no application or out of reach for the state-of-the-art quan...
Character Complexity: A Novel Measure for Quantum Circuit Analysis
Daksh Shami·Aug 19, 2024
In the rapidly evolving field of quantum computing, quantifying circuit complexity remains a critical challenge. This paper introduces Character Complexity, a novel measure that bridges Group-theoretic concepts with practical quantum computing concer...
Floquet prethermalization of ${\bf Z}_2$ lattice gauge theory on superconducting qubits
Tomoya Hayata, Kazuhiro Seki, Arata Yamamoto·Aug 19, 2024
Simulating nonequilibirum dynamics of a quantum many-body system is one of the promising applications of quantum computing. We simulate the time evolution of one-dimensional ${\bf Z}_2$ lattice gauge theory on IBM's superconducting 156-qubit device i...
One-milligram torsional pendulum toward experiments at the quantum-gravity interface
Sofia Agafonova, Pere Rossello, Manuel Mekonnen +1 more·Aug 18, 2024
Probing the possibility of entanglement generation through gravity offers a path to tackle the question of whether gravitational fields possess a quantum mechanical nature. A potential realization necessitates systems with low-frequency dynamics at a...
χ-colorable graph states: closed-form expressions and quantum orthogonal arrays
Konstantinos-Rafail Revis, Hrachya Zakaryan, Zahra Raissi·Aug 18, 2024
Graph states are a fundamental class of multipartite entangled quantum states with wide-ranging applications in quantum information and computation. In this work, we develop a systematic approach for constructing and analyzing χ-colorable graph state...
EAQEC codes from s-Galois hulls decomposition of linear codes
Hui Li, Xiu-Zhen Liu·Aug 18, 2024
Entanglement-assisted quantum error-correcting (EAQEC) codes are a subclass of quantum error-correcting codes which use entanglement as a resource. These codes can provide error correction capability higher than the codes derived from the traditional...
Potential Enabling Technologies for 7G Networks: Survey
S. Glisic·Aug 18, 2024
Every new generation of mobile networks brings significant advances in two segments, enhancement of the network parameters within the legacy technologies and introduction of new technologies enabling new paradigms in designing the networks. In the fi...
SoK Paper: Security Concerns in Quantum Machine Learning as a Service
Satwik Kundu, Swaroop Ghosh·Aug 18, 2024
Quantum machine learning (QML) is a category of algorithms that uses variational quantum circuits (VQCs) to solve machine learning tasks. Recent works have shown that QML models can effectively generalize from limited training data samples. This capa...
Proposal to experimentally evaluate the adiabatic condition of quantum annealing in coupled systems of Kerr parametric oscillators
Yuichiro Mori, Harunobu Hiratsuka, Yuichiro Matsuzaki·Aug 18, 2024
Quantum annealing (QA) is an algorithm to find the ground state of the problem Hamiltonian by using an adiabatic time evolution. An approach to evaluate adiabaticity in the experiment by applying spectroscopic techniques has recently been suggested. ...
Enhancing Quantum Memory Lifetime with Measurement-Free Local Error Correction and Reinforcement Learning
Mincheol Park, N. Maskara, Marcin Kalinowski +1 more·Aug 18, 2024
Reliable quantum computation requires systematic identification and correction of errors that occur and accumulate in quantum hardware. To diagnose and correct such errors, standard quantum error-correcting protocols utilize $\textit{global}$ error i...
Parameter Setting Heuristics Make the Quantum Approximate Optimization Algorithm Suitable for the Early Fault-Tolerant Era (Invited Paper)
Zichang He, R. Shaydulin, Dylan Herman +4 more·Aug 18, 2024
Quantum Approximate Optimization Algorithm (QAOA) is one of the most promising quantum heuristics for combinatorial optimization. While QAOA has been shown to perform well on small-scale instances and to provide an asymptotic speedup over state-of-th...
Fault-tolerant optical interconnects for neutral-atom arrays
Josiah Sinclair, Joshua Ramette, Brandon Grinkemeyer +3 more·Aug 16, 2024
We analyze the use of photonic links to enable large-scale fault-tolerant connectivity of locally error-corrected modules based on neutral atom arrays. Our approach makes use of recent theoretical results showing the robustness of surface codes to bo...
Experiments with the four-dimensional surface code on a quantum charge-coupled device quantum computer
Noah F. Berthusen, J. Dreiling, C. Foltz +9 more·Aug 16, 2024
Single-shot quantum error correction has the potential to speed up quantum computations by removing the need for multiple rounds of syndrome extraction in order to be fault-tolerant. Using Quantinuum's H2 trapped-ion quantum computer, we implement th...
A Comprehensive Review of Quantum Circuit Optimization: Current Trends and Future Directions
Krishnageetha Karuppasamy, Varun Puram, Stevens Johnson +1 more·Aug 16, 2024
Optimizing quantum circuits is critical for enhancing computational speed and mitigating errors caused by quantum noise. Effective optimization must be achieved without compromising the correctness of the computations. This survey explores recent adv...
Quantum Algorithm for Jaccard Similarity
Varun Puram, Ruthvik Rao Bobbili, Johnson P. Thomas·Aug 16, 2024
Jaccard Similarity is a very common proximity measurement used to compute the similarity between two asymmetric binary vectors. Jaccard Similarity is the ratio between the 1s (Intersection of two vectors) to 1s (Union of two vectors). This paper intr...
Bee-yond the Plateau: Training QNNs with Swarm Algorithms
Rubén Darío Guerrero·Aug 16, 2024
In the quest to harness the power of quantum computing, training quantum neural networks (QNNs) presents a formidable challenge. This study introduces an innovative approach, integrating the Bees Optimization Algorithm (BOA) to overcome one of the mo...
Quantum random power method for ground state computation
Taehee Ko, Hyowon Park, Sangkook Choi·Aug 16, 2024
We present a quantum-classical hybrid random power method that approximates a ground state of a Hamiltonian. The quantum part of our method computes a fixed number of elements of a Hamiltonian-matrix polynomial via quantum polynomial filtering techni...
Accelerating Spectral Clustering on Quantum and Analog Platforms
Xingzi Xu, T. Sahai·Aug 16, 2024
We introduce a novel hybrid quantum–analog algorithm to perform a graph clustering that exploits connections between the evolution of dynamical systems on graphs and the underlying graph spectra. This approach constitutes a new class of algorithms th...