Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Toward a Theory of Phase Transitions in Quantum Control Landscapes
Nicolo Beato, Pranay Patil, Marin Bukov·Aug 20, 2024
Control landscape phase transitions (CLPTs) occur as abrupt changes in the cost function landscape upon varying a control parameter, and can be revealed by non-analytic points in statistical order parameters. A prime example are quantum speed limits ...
Advances in quantum algorithms for the shortest path problem
Adam Wesołowski, Stephen Piddock·Aug 19, 2024
Given an undirected, weighted graph, with $n$ vertices and $m$ edges, and two special vertices $s$ and $t$, the problem is to find the shortest path between them. We give two bounded-error quantum algorithms with improved runtime in the adjacency lis...
Coprime Bivariate Bicycle Codes and Their Layouts on Cold Atoms
Ming Wang, Frank Mueller·Aug 19, 2024
Quantum computing is deemed to require error correction at scale to mitigate physical noise by reducing it to lower noise levels while operating on encoded logical qubits. Popular quantum error correction schemes include CSS code, of which surface co...
Dual Role of Squeezed-Reservoir in Quantum Phase Synchronization: Boosting and Blockade
Xing Xiao, Tian-Xiang Lu, Wo-Jun Zhong +1 more·Aug 19, 2024
This study explores the dual role of a squeezed reservoir in controlling the quantum phase synchronization of a driven two-level system. We first demonstrate, through a Liouvillian eigen-spectrum analysis, that the squeezed reservoir can induce a sta...
On the non-Markovian quantum control dynamics
Haijin Ding, Nina H. Amini, John E. Gough +1 more·Aug 19, 2024
In this paper, we study both open-loop control and closed-loop measurement feedback control of non-Markovian quantum dynamics arising from the interaction between a quantum system and its environment. We use the widely studied cavity quantum electrod...
Angstrom-scale ion-beam engineering of ultrathin buried oxides for quantum and neuro-inspired computing
N. Smirnov, E. Krivko, D. Moskaleva +18 more·Aug 19, 2024
Multilayer nanoscale systems incorporating buried ultrathin tunnel oxides, 2D materials, and solid electrolytes are crucial for next-generation logics, memory, quantum and neuro-inspired computing. Still, an ultrathin layer control at angstrom scale ...
Recognizing Beam Profiles from Silicon Photonics Gratings using Transformer Model
Y. Lim, Hong Yu Li, S. Goh +3 more·Aug 19, 2024
Over the past decade, there has been extensive work in developing integrated silicon photonics (SiPh) gratings for the optical addressing of trapped ion qubits among the ion trap quantum computing community. However, when viewing beam profiles from g...
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...