Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion
Yann Beaujeault-Taudière·Jun 23, 2025
The quantum approximate optimisation ansatz (QAOA) is one of the flagship algorithms used to tackle combinatorial optimisation on graphs problems using a quantum computer, and is considered a strong candidate for early fault-tolerant advantage. In th...
Physics and computation: An insight from non-Hermitian quantum computing
Qi Zhang, Biao Wu·Jun 22, 2025
We elucidate the profound connection between physics and computation by proposing and examining the model of the non-Hermitian quantum computer (NQC). In addition to conventional quantum gates such as the Hadamard, phase, and CNOT gates, this model i...
Quantum-Hybrid Support Vector Machines for Anomaly Detection in Industrial Control Systems
Tyler Cultice, Md. Saif Hassan Onim, Annarita Giani +1 more·Jun 21, 2025
Sensitive data captured by Industrial Control Systems (ICS) play a large role in the safety and integrity of many critical infrastructures. Detection of anomalous or malicious data, or Anomaly Detection (AD), with machine learning is one of many vita...
A competitive NISQ and qubit-efficient solver for the LABS problem
Marco Sciorilli, Giancarlo Camilo, Thiago O. Maciel +3 more·Jun 20, 2025
Pauli Correlation Encoding (PCE) is as a qubit-efficient variational approach to combinatorial optimization problems. The method offers a polynomial reduction in qubit count and a super-polynomial suppression of barren plateaus. Here, we extend the P...
Enhancing Expressivity of Quantum Neural Networks Based on the SWAP test
Sebastian Nagies, Emiliano Tolotti, Davide Pastorello +1 more·Jun 20, 2025
Quantum neural networks (QNNs) based on parametrized quantum circuits are promising candidates for machine learning applications, yet many architectures lack clear connections to classical models, potentially limiting their ability to leverage establ...
No Scratch Quantum Computing by Reducing Qubit Overhead for Efficient Arithmetics
Omid Faizy, N. Wehn, P. Lukowicz +1 more·Jun 20, 2025
Quantum arithmetic computation requires a substantial number of scratch qubits to stay reversible. These operations necessitate qubit and gate resources equivalent to those needed for the larger of the input or output registers due to state encoding....
QISCIT: A validated concept inventory assessment for quantum information science
Kelley Durkin, Manshuo Lin, Michael H. Kolodrubetz +1 more·Jun 20, 2025
Quantum information science (QIS) is a critical interdisciplinary field that requires a well-educated workforce in the near future. Numerous researchers and educators have been actively investigating how to best educate and prepare such a workforce. ...
Revealing Quantum Information Encoded in Classical Images
Otmane Ainelkitane, Brian Recktenwall-Calvet, Aasma Iqbal +1 more·Jun 20, 2025
In this study, we investigate a simple quantum pre-processing filter kernel designed with only two CNOT gates for image feature extraction. We examine the impact of these filters when combined with a classical neural network for image classification ...
Circuit Design for a Star-shaped Spin-Qubit Processor via Algebraic Decomposition and Optimal Control
Y. Wang, T. Calarco, F. Motzoi +1 more·Jun 20, 2025
As quantum processing units grow in size and precision we enter the stage where quantum algorithms can be tested on actual quantum devices. To implement a given quantum circuit on a given quantum device, one has to express the circuit in terms of the...
Cutreg: a Loss Regularizer for Enhancing the Scalability of Qml Via Adaptive Circuit Cutting
Maniraman Periyasamy, Christian Ufrecht, Daniel D. Scherer +1 more·Jun 17, 2025
Whether QML can offer a transformative advantage remains an open question. The severe constraints of NISQ hardware, particularly in circuit depth and connectivity, hinder both the validation of quantum advantage and the empirical investigation of maj...
Breaking even with magic: demonstration of a high-fidelity logical non-Clifford gate
S. Dasu, Simon Burton, K. Mayer +7 more·Jun 17, 2025
Encoding quantum information to protect it from errors is essential for performing large-scale quantum computations. Performing a universal set of quantum gates on encoded states demands a potentially large resource overhead and minimizing this overh...
High-fidelity collisional quantum gates with fermionic atoms
Petar Bojovi'c, T. Hilker, Si Wang +7 more·Jun 17, 2025
Quantum simulations of electronic structure and strongly correlated quantum phases are among the most promising applications of quantum computing. These computations benefit from native fermionic encodings 1,2 , enforcing fermionic statistics a...
High-expressibility Quantum Neural Networks using only classical resources
Marco Maronese, Francesco Ferrari, Matteo Vandelli +1 more·Jun 16, 2025
Quantum neural networks (QNNs), as currently formulated, are near-term quantum machine learning architectures that leverage parameterized quantum circuits with the aim of improving upon the performance of their classical counterparts. In this work, w...
Efficient algorithms for quantum chemistry on modular quantum processors
Tian Xue, Jacob P. Covey, Matthew Otten·Jun 16, 2025
Quantum chemistry is a promising application of future quantum computers, but the requirements on qubit count and other resources suggest that modular computing architectures will be required. We introduce an implementation of a quantum chemistry alg...
Towards fault-tolerant quantum computation with universal continuous-variable gates
S. Blair, F. Arzani, G. Ferrini +1 more·Jun 16, 2025
Continuous-variable (CV) systems have shown remarkable potential for quantum computation, particularly excelling in scalability and error correction through bosonic encoding. Within this framework, the foundational notion of computational universalit...
Blocklet concatenation: Low-overhead fault-tolerant protocols for fusion-based quantum computation
D. Litinski·Jun 16, 2025
We introduce a construction for protocols for fault-tolerant quantum computing based on code concatenation and transversal gates. These protocols can be interpreted as families of quantum circuits of low-weight stabilizer measurements without strict ...
Leveraging erasure errors in logical qubits with metastable $^{171}$Yb atoms
Bichen Zhang, Genyue Liu, G. Bornet +6 more·Jun 16, 2025
Implementing large-scale quantum algorithms with practical advantage will require fault-tolerance achieved through quantum error correction, but the associated overhead is a significant cost. The overhead can be reduced by engineering physical qubits...
Exact requirements for battery-assisted qubit gates
Riccardo Castellano, Vasco Cavina, Martí Perarnau-Llobet +2 more·Jun 13, 2025
We consider the implementation of a unitary gate on a qubit system S via a global energy-preserving operation acting on S and an auxiliary system B that can be seen as a battery. We derive a simple, asymptotically exact expression for the implementat...
Non-Abelian dynamics on a cube: improving quantum compilation through qudit-based simulations
Jacky Jiang, N. Klco, Olivia Di Matteo·Jun 12, 2025
Recent developments in mapping lattice gauge theories relevant to the Standard Model onto digital quantum computers identify scalable paths with well-defined quantum compilation challenges toward the continuum. As an entry point to these challenges, ...
Local surrogates for quantum machine learning
Sreeraj Rajindran Nair, Christopher Ferrie·Jun 11, 2025
Surrogates have been proposed as classical simulations of the pretrained quantum learning models, which are capable of mimicking the input-output relation inherent in the quantum model. Quantum hardware within this framework is used for training and ...