Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Hypergraphic representation for adaptive quantum circuits
Waldemir Cambiucci, R. M. Silveira, W. Ruggiero·Mar 31, 2025
Adaptive quantum circuits enhance flexibility and efficiency over traditional static circuits by dynamically adjusting their structure and parameters in real-time based on intermediate measurement outcomes. This paper introduces a novel hypergraph re...
First-principles design of stable spin qubits in monolayer MoS2 with elemental defect engineering
Cailian Yu, Zhihua Zheng, Menghao Gao +3 more·Mar 31, 2025
Quantum information science, encompassing technologies such as quantum computing, sensing, and communication, relies on the development and manipulation of quantum bits (qubits). Recently, two-dimensional (2D) materials—characterized by their atomic ...
On infinite tensor networks, complementary recovery and type II factors
W. Chemissany, Elliott Gesteau, Alexander Jahn +2 more·Mar 31, 2025
We initiate a study of local operator algebras at the boundary of infinite tensor networks, using the mathematical theory of inductive limits. In particular, we consider tensor networks in which each layer acts as a quantum code with complementary re...
ObfusQate: Unveiling the First Quantum Program Obfuscation Framework
Nikhil Bartake, See Toh Zi Jie, Carmen Wong Jiawen +3 more·Mar 31, 2025
We introduce ObfusQate, a novel framework that performs software obfuscation using quantum primitives to enhance the security of both classical and quantum programs. ObfusQate implements eight obfuscation techniques categorized into quantum circuit-l...
On Speedups for Convex Optimization via Quantum Dynamics
Shouvanik Chakrabarti, Dylan Herman, Jacob Watkins +4 more·Mar 31, 2025
We explore the potential for quantum speedups in convex optimization using discrete simulations of the Quantum Hamiltonian Descent (QHD) framework, as proposed by Leng et al., and establish the first rigorous query complexity bounds. We develop enhan...
A Scalable Framework for Post-Quantum Authentication in Public Key Infrastructures
Antonia Tsili, Konstantinos Kordolaimis, Konstantinos Krilakis +1 more·Mar 31, 2025
This work explores the performance and scalability of a hierarchical certificate authority framework with automated certificate issuance employing post-quantum cryptographic (PQC) signature algorithms. The system is designed for compatibility with bo...
Quantum algorithms for cooling: A simple case study
Daniel Molpeceres, Sirui Lu, J. I. Cirac +1 more·Mar 31, 2025
Preparation of low-energy quantum many-body states has a wide range of applications in quantum information processing and condensed matter physics. Quantum cooling algorithms offer a promising alternative to other methods based, for instance, on vari...
Implementation and Readout of Maximally Entangled Two-Qubit Gates Quantum Circuits in a Superconducting Quantum Processor
Viviana Stasino, P. Mastrovito, Carlo Cosenza +8 more·Mar 31, 2025
Besides noticeable challenges in implementing low-error single- and two-qubit quantum gates in superconducting quantum processors, the readout technique and analysis are a key factor in determining the efficiency and performance of quantum processors...
Impact of amplitude and phase damping noise on quantum reinforcement learning: challenges and opportunities
M. L. Olivera-Atencio, Lucas Lamata, J. Casado-Pascual·Mar 31, 2025
Quantum machine learning (QML) is an emerging field with significant potential, yet it remains highly susceptible to noise, which poses a major challenge to its practical implementation. While various noise mitigation strategies have been proposed ...
Simulation of Shor Algorithm for Discrete Logarithm Problems With Comprehensive Pairs of Modulo $p$ and Order $q$
Kaito Kishi, Junpei Yamaguchi, Tetsuya Izu +1 more·Mar 31, 2025
The discrete logarithm problem (DLP) over finite fields, commonly used in classical cryptography, has no known polynomial-time algorithm on classical computers. However, Shor has provided its polynomial-time algorithm on quantum computers. Neverthele...
Kernel-based dequantization of variational QML without Random Fourier Features
R. Sweke, Seong-Jin Shin, Elies Gil-Fuster·Mar 31, 2025
There is currently a huge effort to understand the potential and limitations of variational quantum machine learning (QML) based on the optimization of parameterized quantum circuits. Recent proposals toward dequantizing variational QML models for re...
Hamiltonian Dynamics Learning: A Scalable Approach to Quantum Process Characterization
Yusen Wu, Yukun Zhang, Chuan Wang +1 more·Mar 31, 2025
Quantum process characterization is a fundamental task in quantum information processing, yet conventional methods, such as quantum process tomography, require prohibitive resources and lack scalability. Here, we introduce an efficient quantum proces...
Applications of Hybrid Machine Learning Methods to Large Datasets: A Case Study
Georgios Maragkopoulos, Nikolaos Stefanakos, Aikaterini Mandilara +1 more·Mar 31, 2025
We combine classical and quantum Machine Learning (ML) techniques to effectively analyze long time-series data acquired during experiments. Specifically, we demonstrate that replacing a deep classical neural network with a thoughtfully designed Varia...
Performance Evaluation of Variational Quantum Eigensolver and Quantum Dynamics Algorithms on the Advection-Diffusion Equation
A. Ozguler·Mar 31, 2025
We investigate the potential of near-term quantum algorithms for solving partial differential equations (PDEs), focusing on a linear one-dimensional advection-diffusion equation as a test case. This study benchmarks a ground-state algorithm, Variatio...
Quantum computing within a bosonic context: assessing finite basis effects on prototypical vibrational Hamiltonian spectra
J. Knapik, Bruno Senjean, B. Lasorne +1 more·Mar 31, 2025
Quantum computing has recently been emerging in theoretical chemistry as a realistic avenue meant to offer computational speedup to challenging eigenproblems in the context of strongly correlated molecular systems or extended materials. Most studies ...
Preparing graph states forbidding a vertex-minor
James Davies, Andrew Jena·Mar 31, 2025
Measurement based quantum computing is preformed by adding non-Clifford measurements to a prepared stabilizer states. Entangling gates like CZ are likely to have lower fidelities due to the nature of interacting qubits, so when preparing a stabilizer...
Strain Effects in a Directly Bonded Diamond‐on‐Insulator Substrate
Ioannis Varveris, G. Aliberti, Tianyin Chen +6 more·Mar 31, 2025
The direct bonding process of a diamond‐on‐insulator (DOI) substrate enables monolithic integration of diamond photonic structures for quantum computing by improving photon collection efficiency and entanglement generation rate between emitters. It a...
Powering Quantum Computation with Quantum Batteries
Yaniv Kurman, Kieran Hymas, Arkady Fedorov +2 more·Mar 30, 2025
Executing quantum logic in cryogenic quantum computers requires a continuous energy supply from room-temperature control electronics. This dependence on external energy sources creates scalability limitations due to control channel density and heat d...
Deformations of the symmetric subspace of qubit chains
Angel Ballesteros, Ivan Gutierrez-Sagredo, Jose de Ramon +1 more·Mar 30, 2025
The symmetric subspace of multi-qubit systems, that is, the space of states invariant under permutations, is commonly encountered in applications in the context of quantum information and communication theory. It is known that the symmetric subspace ...
Strongly coupled photonic molecules as doubly-coupled oscillators
Kevin C. Smith, Austin G. Nixon, David J. Masiello·Mar 30, 2025
In this work, we present a field-theoretic model of strongly coupled photonic molecules composed of interacting dielectric cavities in a closed, perfect-electric-conductor domain. Within this setting, we treat the resulting inter-mode couplings non-p...