Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Factoring integers via Schnorr's algorithm assisted with VQE
Luis S'anchez Cano, Gin'es Carrascal de las Heras, Guillermo Botella Juan +1 more·Nov 25, 2024
Current asymmetric cryptography is based on the principle that while classical computers can efficiently multiply large integers, the inverse operation, factorization, is significantly more complex. For sufficiently large integers, this factorization...
Variational quantum subspace construction via symmetry-preserving cost functions
H. A. Akande, A. Perrin, Bruno Senjean +1 more·Nov 25, 2024
Determining low-energy eigenstates in electronic many-body quantum systems is a key challenge in computational chemistry and condensed-matter physics. Hybrid quantum-classical approaches, such as the Variational Quantum Eigensolver and Quantum Subspa...
Implementing transferable annealing protocols for combinatorial optimization on neutral-atom quantum processors: A case study on smart charging of electric vehicles
L. Leclerc, Constantin Dalyac, Pascale Bendotti +3 more·Nov 25, 2024
In the quantum optimization paradigm, variational quantum algorithms face challenges with hardware-specific and instance-dependent parameter tuning, which can lead to computational inefficiencies. The promising potential of parameter transferability ...
QUBO Refinement: Achieving Superior Precision through Iterative Quantum Formulation with Limited Qubits
Hyunju Lee, Kyungtaek Jun·Nov 25, 2024
In the era of quantum computing, the emergence of quantum computers and subsequent advancements have led to the development of various quantum algorithms capable of solving linear equations and eigenvalues, surpassing the pace of classical computers....
Quantum Annealing based Hybrid Strategies for Real Time Route Optimization
Sushil Mario, Pavan Teja Pothamsetti, Louie Antony Thalakottor +6 more·Nov 21, 2024
One of the most well-known problems in transportation and logistics is the Capacitated Vehicle Routing Problem (CVRP). It involves optimizing a set of truck routes to service a set of customers, subject to limits on truck capacity, to reduce travel c...
A hybrid qubit encoding: splitting Fock space into Fermionic and Bosonic subspaces
Francisco Javier del Arco Santos, Jakob S. Kottmann·Nov 21, 2024
Efficient encoding of electronic operators into qubits is essential for quantum chemistry simulations. Most of the methods treat Fermionic degrees of freedom and qubits in a one-to-one fashion, handling their interactions. Alternatively, pairs of ele...
Unified and Generalized Approach to Entanglement-Assisted Quantum Error Correction
P. Nadkarni, Serge Adonsou, G. Dauphinais +2 more·Nov 21, 2024
We introduce a framework for entanglement-assisted quantum error correcting codes that unifies the three original frameworks for such codes called EAQEC, EAOQEC, and EACQ under a single umbrella. The unification is arrived at by viewing entanglement-...
Quantum teleportation with dissimilar quantum dots over a hybrid quantum network
Alessandro Laneve, G. Ronco, Mattia Beccaceci +24 more·Nov 19, 2024
Photonic quantum information processing in metropolitan quantum networks lays the foundation for cloud quantum computing [1, 2], secure communication [3, 4], and the realization of a global quantum internet [5, 6]. This paradigm shift requires on-dem...
Hybrid Quantum Deep Learning Model for Emotion Detection using raw EEG Signal Analysis
Ali Asgar Chandanwala, Srutakirti Bhowmik, Parna Chaudhury +1 more·Nov 19, 2024
Applications in behavioural research, human-computer interaction, and mental health depend on the ability to recognize emotions. In order to improve the accuracy of emotion recognition using electroencephalography (EEG) data, this work presents a hyb...
Exact quantum algorithm for unit commitment optimization based on partially connected quantum neural networks
Jian Liu, Xu Zhou, Zhuojun Zhou +1 more·Nov 18, 2024
The quantum hybrid algorithm has recently become a very promising and speedy method for solving larger-scale optimization problems in the noisy intermediate-scale quantum (NISQ) era. The unit commitment (UC) problem is a fundamental problem in the fi...
Millimeter-Wave Superconducting Qubit
Alexander Anferov, Fanghui Wan, Shannon P. Harvey +2 more·Nov 17, 2024
Manipulating the electromagnetic spectrum at the single-photon level is fundamental for quantum experiments. In the visible and infrared ranges, this can be accomplished with atomic quantum emitters, and with superconducting qubits such control is ex...
Strong-coupling quantum thermodynamics using a superconducting flux qubit
Rishabh Upadhyay, B. Karimi, D. Subero +4 more·Nov 16, 2024
Thermodynamics in quantum circuits aims to find improved functionalities of thermal machines, highlight fundamental phenomena peculiar to quantum nature in thermodynamics, and point out limitations in quantum information processing due to coupling of...
Quantum similarity learning for anomaly detection
A. Hammad, M. Nojiri, Masahito Yamazaki·Nov 15, 2024
Anomaly detection is a vital technique for exploring signatures of new physics Beyond the Standard Model (BSM) at the Large Hadron Collider (LHC). The vast number of collisions generated by the LHC demands sophisticated deep learning techniques. Simi...
Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach
Abdullah Abdullah, F. R. Sandjaja, A. Majeed +3 more·Nov 15, 2024
This study investigates uncertainty quantification (UQ) using quantum-classical hybrid machine learning (ML) models for applications in complex and dynamic fields, such as attaining resiliency in supply chain digital twins and financial risk assessme...
An Implementation of the Finite Element Method in Hybrid Classical/Quantum Computers
Abhishek Arora, B. Ward, Caglar Oskay·Nov 13, 2024
This manuscript presents the Quantum Finite Element Method (Q-FEM) developed for use in noisy intermediate-scale quantum (NISQ) computers and employs the variational quantum linear solver (VQLS) algorithm. The proposed method leverages the classical ...
Few measurement shots challenge generalization in learning to classify entanglement
L. Banchi, Jason L. Pereira, M. Zamboni·Nov 10, 2024
The ability to extract general laws from a few known examples depends on the complexity of the problem and on the amount of training data. In the quantum setting, the learner's generalization performance is further challenged by the destructive natur...
Towards quantum computing Feynman diagrams in hybrid qubit-oscillator devices
S. Varona, S. Saner, O. Buazuavan +3 more·Nov 7, 2024
We show that recent experiments in hybrid qubit-oscillator devices that measure the phase-space characteristic function of the oscillator via the qubit can be seen through the lens of functional calculus and path integrals, drawing a clear analogy wi...
Self-consistent Quantum Linear Response with a Polarizable Embedding Environment.
Peter Reinholdt, E. Kjellgren, K. M. Ziems +3 more·Nov 6, 2024
Quantum computing presents a promising avenue for solving complex problems, particularly in quantum chemistry, where it could accelerate the computation of molecular properties and excited states. This work focuses on computing excitation energies wi...
Multiple-basis representation of quantum states
Adri'an P'erez-Salinas, Patrick Emonts, Jordi Tura +1 more·Nov 5, 2024
Classical simulation of quantum physics is a central approach to investigating physical phenomena. Quantum computers enhance computational capabilities beyond those of classical resources, but it remains unclear to what extent existing limited quantu...
Fusing matrix-product states with quantum Monte Carlo: reducing entanglement and sign problem at the same time
Gunnar Bollmark, Sam Mardazad, Johannes S. Hofmann +1 more·Nov 1, 2024
Systems of correlated quantum matter can be a steep challenge to any would-be method of solution. Matrix-product state (MPS)-based methods can describe 1D systems quasiexactly, but often struggle to retain sufficient bipartite entanglement to accurat...