Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Fermionic Averaged Circuit Eigenvalue Sampling
Adrian Chapman, Steven T. Flammia·Apr 2, 2025
Fermionic averaged circuit eigenvalue sampling (FACES) is a protocol to simultaneously learn the averaged error rates of many fermionic linear optical (FLO) gates simultaneously and self-consistently from a suitable collection of FLO circuits. It is ...
Variational Preparation of Entangled States in a System of Transmon Qubits
Alexander Yeremeyev, A. Tolstobrov, G. Fedorov +11 more·Apr 2, 2025
The conventional method for generating entangled states in qubit systems relies on applying precise two‐qubit entangling gates alongside single‐qubit rotations. However, achieving high‐fidelity entanglement demands high accuracy in two‐qubit operatio...
Quantum Computing for Optimizing Aircraft Loading
Ananth Kaushik, Sang Hyub Kim, Willie Aboumrad +3 more·Apr 2, 2025
The aircraft loading optimization problem is a computationally hard problem with the best known classical algorithm scaling exponentially with the number of objects. We propose a quantum approach based on a multi-angle variant of the QAOA algorithm (...
CNOT-Optimal Clifford Synthesis as SAT
Irfansha Shaik, J. V. D. Pol·Apr 1, 2025
Clifford circuit optimization is an important step in the quantum compilation pipeline. Major compilers employ heuristic approaches. While they are fast, their results are often suboptimal. Minimization of noisy gates, like 2-qubit CNOT gates, is cru...
Operating two exchange-only qubits in parallel
Mateusz T. Mkadzik, F. Luthi, G. Guerreschi +38 more·Apr 1, 2025
Semiconductors are among the most promising platforms to implement large-scale quantum computers, as advanced manufacturing techniques allow fabrication of large quantum dot arrays1. Various qubit encodings can be used to store and manipulate quantum...
Machine Learning assisted noise classification with Quantum Key Distribution protocols
Shreya Banerjee, A. Ashmi, P. Panigrahi·Apr 1, 2025
We propose a hybrid protocol to classify quantum noises using supervised classical machine learning models and simple quantum key distribution protocols. We consider the quantum bit error rates (QBERs) generated in QKD schemes under consideration of ...
A Minimal Introduction to Quantum Computing
M. Mahmud, Daniel Charles Goldsmith·Apr 1, 2025
In this article, we present an introduction to quantum computing (QC) tailored for computing professionals such as programmers, machine learning engineers, and data scientists. Our approach abstracts away the physics underlying QC, which can be chall...
Coherent manipulation of interacting electron qubitson solid neon
Xinhao Li, Yizhong Huang, Xu Han +3 more·Mar 31, 2025
Electrons trapped on solid neon surfaces serve as low-noise charge qubits with long coherence times and high operational fidelities. Such charge qubits offer full electrical control and compact device footprints, convenient for scaling up with quantu...
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...
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...
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...
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...
Circuit cutting with classical side information
C. Piveteau, Lukas Schmitt, David Sutter·Mar 28, 2025
Circuit cutting is a technique for simulating large quantum circuits by partitioning them into smaller subcircuits, which can be executed on smaller quantum devices. The results from these subcircuits are then combined in classical post-processing to...
Hacking quantum computers with row hammer attack
Fernando Almaguer-Angeles, Pedro R. Dieguez, Akshata Shenoy +1 more·Mar 27, 2025
We demonstrate a hardware vulnerability in quantum computing systems by exploiting cross-talk effects on an available commercial quantum computer (IBM). Specifically, based on the cross-talk produced by certain quantum gates, we implement a row hamme...
Adaptive Variational Quantum Kolmogorov-Arnold Network
Hikaru Wakaura, Rahmat Mulyawan, A. B. Suksmono·Mar 27, 2025
Kolmogorov-Arnold Network (KAN) is a novel multi-layer neuromorphic network. Many groups worldwide have studied this network, including image processing, time series analysis, solving physical problems, and practical applications such as medical use....
Quantum Max d-Cut via qudit swap operators
I. Klep, Tea vStrekelj, Jurij Volvcivc·Mar 26, 2025
Quantum Max Cut (QMC) problem for systems of qubits is an example of a 2-local Hamiltonian problem, and a prominent paradigm in computational complexity theory. This paper investigates the algebraic structure of a higher-dimensional analog of the QMC...
Digital quantum magnetism on a trapped-ion quantum computer
Reza Haghshenas, Eli Chertkov, Michael Mills +56 more·Mar 26, 2025
Digital quantum matter -- realized when discrete quantum gates approximate continuous time evolution -- is susceptible to heating into chaotic, structureless states. If digitization errors are adequately suppressed, a long-lived transient regime of a...
Characterization of a quantum bus between two driven qubits
Alberto Hijano, Henri Lyyra, Juha T. Muhonen +1 more·Mar 24, 2025
We investigate the use of driven qubits coupled to a harmonic oscillator to implement a $\sqrt{i\mathrm{SWAP}}$-gate. By dressing the qubits through an external driving field, the qubits and the harmonic oscillator can be selectively coupled, allowin...